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You searched for subject:(failure time statistics). Showing records 1 – 30 of 31 total matches.

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University of Missouri – Columbia

1. Chen, Ping, 1984-. Statistical analysis of failure time data with missing information.

Degree: 2009, University of Missouri – Columbia

Failure time data arise in many fields and can involve different types of censoring structures and missing information. We consider three cases: right-censored data with… (more)

Subjects/Keywords: Statistics; Failure time data analysis; Regression analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, Ping, 1. (2009). Statistical analysis of failure time data with missing information. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/6144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. http://hdl.handle.net/10355/6144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Web. 15 Oct 2019.

Vancouver:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10355/6144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/6144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

2. Gorelick, Jeremy, 1981-. Nonparametric analysis of interval-censored failure time data.

Degree: 2009, University of Missouri – Columbia

 This thesis considers the problem of treatment comparisons when only interval-censored failure time data are available. This type of data occurs frequently in clinical trials… (more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics; Time-series analysis; Interval functions

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APA (6th Edition):

Gorelick, Jeremy, 1. (2009). Nonparametric analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/7009

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. http://hdl.handle.net/10355/7009.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gorelick, Jeremy, 1981-. “Nonparametric analysis of interval-censored failure time data.” 2009. Web. 15 Oct 2019.

Vancouver:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10355/7009.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gorelick, Jeremy 1. Nonparametric analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2009. Available from: http://hdl.handle.net/10355/7009

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Columbia University

3. Huang, Tzu Jung. Marginal Screening on Survival Data.

Degree: 2017, Columbia University

 This work develops a marginal screening test to detect the presence of significant predictors for a right-censored time-to-event outcome under a high-dimensional accelerated failure time(more)

Subjects/Keywords: Biometry; Statistics; Survival analysis (Biometry) – Data processing; Failure time data analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, T. J. (2017). Marginal Screening on Survival Data. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85H7TSN

Chicago Manual of Style (16th Edition):

Huang, Tzu Jung. “Marginal Screening on Survival Data.” 2017. Doctoral Dissertation, Columbia University. Accessed October 15, 2019. https://doi.org/10.7916/D85H7TSN.

MLA Handbook (7th Edition):

Huang, Tzu Jung. “Marginal Screening on Survival Data.” 2017. Web. 15 Oct 2019.

Vancouver:

Huang TJ. Marginal Screening on Survival Data. [Internet] [Doctoral dissertation]. Columbia University; 2017. [cited 2019 Oct 15]. Available from: https://doi.org/10.7916/D85H7TSN.

Council of Science Editors:

Huang TJ. Marginal Screening on Survival Data. [Doctoral Dissertation]. Columbia University; 2017. Available from: https://doi.org/10.7916/D85H7TSN


University of New Mexico

4. Collins, David. Nonparametric estimation of first passage time distributions in flowgraph models.

Degree: Mathematics & Statistics, 2009, University of New Mexico

 Statistical flowgraphs represent multistate semi-Markov processes using integral transforms of transition time distributions between adjacent states; these are combined algebraically and inverted to derive parametric… (more)

Subjects/Keywords: Flowgraphs – Data processing; Failure time data analysis; Nonparametric statistics.

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APA (6th Edition):

Collins, D. (2009). Nonparametric estimation of first passage time distributions in flowgraph models. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/9322

Chicago Manual of Style (16th Edition):

Collins, David. “Nonparametric estimation of first passage time distributions in flowgraph models.” 2009. Doctoral Dissertation, University of New Mexico. Accessed October 15, 2019. http://hdl.handle.net/1928/9322.

MLA Handbook (7th Edition):

Collins, David. “Nonparametric estimation of first passage time distributions in flowgraph models.” 2009. Web. 15 Oct 2019.

Vancouver:

Collins D. Nonparametric estimation of first passage time distributions in flowgraph models. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/1928/9322.

Council of Science Editors:

Collins D. Nonparametric estimation of first passage time distributions in flowgraph models. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/9322


University of Missouri – Columbia

5. Zhou, Qingning. Statistical Analysis of Bivariate Interval-Censored Failure Time Data.

Degree: 2015, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Interval-censored failure time data arise when the failure time of interest in a survival study… (more)

Subjects/Keywords: Failure time data analysis; Regression analysis; Censored observations (Statistics); Clinical trials

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhou, Q. (2015). Statistical Analysis of Bivariate Interval-Censored Failure Time Data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/47078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhou, Qingning. “Statistical Analysis of Bivariate Interval-Censored Failure Time Data.” 2015. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. http://hdl.handle.net/10355/47078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhou, Qingning. “Statistical Analysis of Bivariate Interval-Censored Failure Time Data.” 2015. Web. 15 Oct 2019.

Vancouver:

Zhou Q. Statistical Analysis of Bivariate Interval-Censored Failure Time Data. [Internet] [Thesis]. University of Missouri – Columbia; 2015. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10355/47078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhou Q. Statistical Analysis of Bivariate Interval-Censored Failure Time Data. [Thesis]. University of Missouri – Columbia; 2015. Available from: http://hdl.handle.net/10355/47078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

6. Roy, Arjun. Failure-time statistics of a coupled-field damage evolution model via temporal averaging.

Degree: PhD, Engineering Science and Mechanics, 2012, Penn State University

 We study the coupling between dynamics at different time-scales during fatigue damage growth with an objective of understanding the factors that lead to large variations… (more)

Subjects/Keywords: fatigue; continuum damage mechanics; method of averaging; extreme value statistics; failure-time statistics

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APA (6th Edition):

Roy, A. (2012). Failure-time statistics of a coupled-field damage evolution model via temporal averaging. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/16179

Chicago Manual of Style (16th Edition):

Roy, Arjun. “Failure-time statistics of a coupled-field damage evolution model via temporal averaging.” 2012. Doctoral Dissertation, Penn State University. Accessed October 15, 2019. https://etda.libraries.psu.edu/catalog/16179.

MLA Handbook (7th Edition):

Roy, Arjun. “Failure-time statistics of a coupled-field damage evolution model via temporal averaging.” 2012. Web. 15 Oct 2019.

Vancouver:

Roy A. Failure-time statistics of a coupled-field damage evolution model via temporal averaging. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 Oct 15]. Available from: https://etda.libraries.psu.edu/catalog/16179.

Council of Science Editors:

Roy A. Failure-time statistics of a coupled-field damage evolution model via temporal averaging. [Doctoral Dissertation]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/16179


The Ohio State University

7. Pan, Un-Quei Winkey. Burn-in with mixed populations.

Degree: PhD, Graduate School, 1987, The Ohio State University

Subjects/Keywords: Statistics; Reliability; Failure time data analysis

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APA (6th Edition):

Pan, U. W. (1987). Burn-in with mixed populations. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477037

Chicago Manual of Style (16th Edition):

Pan, Un-Quei Winkey. “Burn-in with mixed populations.” 1987. Doctoral Dissertation, The Ohio State University. Accessed October 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477037.

MLA Handbook (7th Edition):

Pan, Un-Quei Winkey. “Burn-in with mixed populations.” 1987. Web. 15 Oct 2019.

Vancouver:

Pan UW. Burn-in with mixed populations. [Internet] [Doctoral dissertation]. The Ohio State University; 1987. [cited 2019 Oct 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477037.

Council of Science Editors:

Pan UW. Burn-in with mixed populations. [Doctoral Dissertation]. The Ohio State University; 1987. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477037


University of Missouri – Columbia

8. Zhu, Chao, 1979-. Nonparametric and semiparametric methods for interval-censored failure time data.

Degree: PhD, 2006, University of Missouri – Columbia

 Interval-censored failure time data commonly arise in follow-up studies such as clinical trials and epidemiology studies. By interval-censored data, we mean that the failure time(more)

Subjects/Keywords: Failure time data analysis; Nonparametric statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Zhu, Chao, 1. (2006). Nonparametric and semiparametric methods for interval-censored failure time data. (Doctoral Dissertation). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/4415

Chicago Manual of Style (16th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Doctoral Dissertation, University of Missouri – Columbia. Accessed October 15, 2019. https://doi.org/10.32469/10355/4415.

MLA Handbook (7th Edition):

Zhu, Chao, 1979-. “Nonparametric and semiparametric methods for interval-censored failure time data.” 2006. Web. 15 Oct 2019.

Vancouver:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Internet] [Doctoral dissertation]. University of Missouri – Columbia; 2006. [cited 2019 Oct 15]. Available from: https://doi.org/10.32469/10355/4415.

Council of Science Editors:

Zhu, Chao 1. Nonparametric and semiparametric methods for interval-censored failure time data. [Doctoral Dissertation]. University of Missouri – Columbia; 2006. Available from: https://doi.org/10.32469/10355/4415


University of South Carolina

9. Wang, Sheng-Yang. Bayesian Flexible Modeling of Interval-censored Failure Time Data.

Degree: PhD, Statistics, 2017, University of South Carolina

  Interval-censored data are a special type of survival data, in which the survival time is not accurately observed but known to fall within a… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Bayesian Flexible Modeling; Interval; Failure Time Data

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wang, S. (2017). Bayesian Flexible Modeling of Interval-censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4099

Chicago Manual of Style (16th Edition):

Wang, Sheng-Yang. “Bayesian Flexible Modeling of Interval-censored Failure Time Data.” 2017. Doctoral Dissertation, University of South Carolina. Accessed October 15, 2019. https://scholarcommons.sc.edu/etd/4099.

MLA Handbook (7th Edition):

Wang, Sheng-Yang. “Bayesian Flexible Modeling of Interval-censored Failure Time Data.” 2017. Web. 15 Oct 2019.

Vancouver:

Wang S. Bayesian Flexible Modeling of Interval-censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2017. [cited 2019 Oct 15]. Available from: https://scholarcommons.sc.edu/etd/4099.

Council of Science Editors:

Wang S. Bayesian Flexible Modeling of Interval-censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2017. Available from: https://scholarcommons.sc.edu/etd/4099


Kansas State University

10. Fei, Mingwei. A study of the robustness of Cox's proportional hazards model used in testing for covariate effects.

Degree: MA, Department of Statistics, 2012, Kansas State University

 There are two important statistical models for multivariate survival analysis, proportional hazards(PH) models and accelerated failure time(AFT) model. PH analysis is most commonly used multivariate… (more)

Subjects/Keywords: Survival analysis; Proportional hazards(PH) model; Accelerated failure time(AFT) model; Covariate effect test; Statistics (0463)

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APA (6th Edition):

Fei, M. (2012). A study of the robustness of Cox's proportional hazards model used in testing for covariate effects. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/13528

Chicago Manual of Style (16th Edition):

Fei, Mingwei. “A study of the robustness of Cox's proportional hazards model used in testing for covariate effects.” 2012. Masters Thesis, Kansas State University. Accessed October 15, 2019. http://hdl.handle.net/2097/13528.

MLA Handbook (7th Edition):

Fei, Mingwei. “A study of the robustness of Cox's proportional hazards model used in testing for covariate effects.” 2012. Web. 15 Oct 2019.

Vancouver:

Fei M. A study of the robustness of Cox's proportional hazards model used in testing for covariate effects. [Internet] [Masters thesis]. Kansas State University; 2012. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2097/13528.

Council of Science Editors:

Fei M. A study of the robustness of Cox's proportional hazards model used in testing for covariate effects. [Masters Thesis]. Kansas State University; 2012. Available from: http://hdl.handle.net/2097/13528


University of Missouri – Columbia

11. Chen, Ping, 1984-. Statistical analysis of failure time data with missing information.

Degree: 2009, University of Missouri – Columbia

Failure time data arise in many fields and can involve different types of censoring structures and missing information. We consider three cases: right-censored data with… (more)

Subjects/Keywords: Statistics; Failure time data analysis; Regression analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chen, Ping, 1. (2009). Statistical analysis of failure time data with missing information. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/6144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. https://doi.org/10.32469/10355/6144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Ping, 1984-. “Statistical analysis of failure time data with missing information.” 2009. Web. 15 Oct 2019.

Vancouver:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 15]. Available from: https://doi.org/10.32469/10355/6144.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen, Ping 1. Statistical analysis of failure time data with missing information. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/6144

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Carolina

12. Wu, Haifeng. Frailty Probit Models for Clustered Interval-Censored Failure Time Data.

Degree: PhD, Statistics, 2016, University of South Carolina

  Survival analysis is an important branch of statistics that deals with time to event data or survival data. An important feature of such data… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Fraily Probit Models; Clustered; Interval-Censored Failure Time data

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APA (6th Edition):

Wu, H. (2016). Frailty Probit Models for Clustered Interval-Censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3559

Chicago Manual of Style (16th Edition):

Wu, Haifeng. “Frailty Probit Models for Clustered Interval-Censored Failure Time Data.” 2016. Doctoral Dissertation, University of South Carolina. Accessed October 15, 2019. https://scholarcommons.sc.edu/etd/3559.

MLA Handbook (7th Edition):

Wu, Haifeng. “Frailty Probit Models for Clustered Interval-Censored Failure Time Data.” 2016. Web. 15 Oct 2019.

Vancouver:

Wu H. Frailty Probit Models for Clustered Interval-Censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Oct 15]. Available from: https://scholarcommons.sc.edu/etd/3559.

Council of Science Editors:

Wu H. Frailty Probit Models for Clustered Interval-Censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3559


University of South Carolina

13. Wang, Yinding. Semiparametric Estimation Methods For Complex Accelerated Failure Time Model.

Degree: PhD, Statistics, 2016, University of South Carolina

  The proportional hazards (PH) model and the accelerated failure time (AFT) model are the two most popular survival models in fitting the right-censored data.… (more)

Subjects/Keywords: Biostatistics; Physical Sciences and Mathematics; Statistics and Probability; Semiparametric Estimation Methods; Complex Accelerated; Failure Time Model

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APA (6th Edition):

Wang, Y. (2016). Semiparametric Estimation Methods For Complex Accelerated Failure Time Model. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3996

Chicago Manual of Style (16th Edition):

Wang, Yinding. “Semiparametric Estimation Methods For Complex Accelerated Failure Time Model.” 2016. Doctoral Dissertation, University of South Carolina. Accessed October 15, 2019. https://scholarcommons.sc.edu/etd/3996.

MLA Handbook (7th Edition):

Wang, Yinding. “Semiparametric Estimation Methods For Complex Accelerated Failure Time Model.” 2016. Web. 15 Oct 2019.

Vancouver:

Wang Y. Semiparametric Estimation Methods For Complex Accelerated Failure Time Model. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Oct 15]. Available from: https://scholarcommons.sc.edu/etd/3996.

Council of Science Editors:

Wang Y. Semiparametric Estimation Methods For Complex Accelerated Failure Time Model. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3996


Kansas State University

14. Gallup, Donald Robert. Detection of outliers in failure data.

Degree: 1981, Kansas State University

Subjects/Keywords: Outliers (Statistics); Nuclear power plants; Failure time data analysis

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APA (6th Edition):

Gallup, D. R. (1981). Detection of outliers in failure data. (Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/12546

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gallup, Donald Robert. “Detection of outliers in failure data.” 1981. Thesis, Kansas State University. Accessed October 15, 2019. http://hdl.handle.net/2097/12546.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gallup, Donald Robert. “Detection of outliers in failure data.” 1981. Web. 15 Oct 2019.

Vancouver:

Gallup DR. Detection of outliers in failure data. [Internet] [Thesis]. Kansas State University; 1981. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2097/12546.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gallup DR. Detection of outliers in failure data. [Thesis]. Kansas State University; 1981. Available from: http://hdl.handle.net/2097/12546

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Iowa

15. Chai, Hao. Statistical inference in high dimensional linear and AFT models.

Degree: PhD, Statistics, 2014, University of Iowa

  Variable selection procedures for high dimensional data have been proposed and studied by a large amount of literature in the last few years. Most… (more)

Subjects/Keywords: Accelerated failure time model; Asymptotic normality; Confidence interval; LASSO; Minimax concave penalty; Sign consistency; Statistics and Probability

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APA (6th Edition):

Chai, H. (2014). Statistical inference in high dimensional linear and AFT models. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/1303

Chicago Manual of Style (16th Edition):

Chai, Hao. “Statistical inference in high dimensional linear and AFT models.” 2014. Doctoral Dissertation, University of Iowa. Accessed October 15, 2019. https://ir.uiowa.edu/etd/1303.

MLA Handbook (7th Edition):

Chai, Hao. “Statistical inference in high dimensional linear and AFT models.” 2014. Web. 15 Oct 2019.

Vancouver:

Chai H. Statistical inference in high dimensional linear and AFT models. [Internet] [Doctoral dissertation]. University of Iowa; 2014. [cited 2019 Oct 15]. Available from: https://ir.uiowa.edu/etd/1303.

Council of Science Editors:

Chai H. Statistical inference in high dimensional linear and AFT models. [Doctoral Dissertation]. University of Iowa; 2014. Available from: https://ir.uiowa.edu/etd/1303


University of Missouri – Columbia

16. Chen, Ling, 1973-. Multiple imputation approaches to regression analysis of interval-censored failure time data.

Degree: 2009, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] This dissertation discusses regression analysis of interval-censored failure time data, which occur in many fields… (more)

Subjects/Keywords: Regression analysis; Interval analysis (Mathematics); Failure time data analysis; Linear models (Statistics)

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APA (6th Edition):

Chen, Ling, 1. (2009). Multiple imputation approaches to regression analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/9688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Ling, 1973-. “Multiple imputation approaches to regression analysis of interval-censored failure time data.” 2009. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. https://doi.org/10.32469/10355/9688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Ling, 1973-. “Multiple imputation approaches to regression analysis of interval-censored failure time data.” 2009. Web. 15 Oct 2019.

Vancouver:

Chen, Ling 1. Multiple imputation approaches to regression analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2019 Oct 15]. Available from: https://doi.org/10.32469/10355/9688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen, Ling 1. Multiple imputation approaches to regression analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/9688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Carolina

17. Harun, Nusrat. Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data.

Degree: PhD, Epidemiology and Biostatistics, 2012, University of South Carolina

  DISS_para>In many medical problems that collect multiple observations per subject, the time to an event is often of interest. Sometimes, the occurrence of the… (more)

Subjects/Keywords: Biostatistics; Physical Sciences and Mathematics; Statistics and Probability; Accelerated Failure Time Model; Bayesian Computation; Dirichlet Process Priors; Interval Censored Data; Mixture Distributions; Variable Selection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Harun, N. (2012). Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/547

Chicago Manual of Style (16th Edition):

Harun, Nusrat. “Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data.” 2012. Doctoral Dissertation, University of South Carolina. Accessed October 15, 2019. https://scholarcommons.sc.edu/etd/547.

MLA Handbook (7th Edition):

Harun, Nusrat. “Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data.” 2012. Web. 15 Oct 2019.

Vancouver:

Harun N. Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2012. [cited 2019 Oct 15]. Available from: https://scholarcommons.sc.edu/etd/547.

Council of Science Editors:

Harun N. Random Effects Selection In Bayesian Accelerated Failure Time Model With Correlated Interval Censored Data. [Doctoral Dissertation]. University of South Carolina; 2012. Available from: https://scholarcommons.sc.edu/etd/547


Uppsala University

18. Sjöström, Lars. Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta).

Degree: Statistics, 2019, Uppsala University

  Survival analysis is an effective tool for conservation studies, since it measure the risk of an event that is important for the survival of… (more)

Subjects/Keywords: Survival analysis; Biodiversity; Population genetics; Ecology; Evolutionary biology; Cox Proportional Hazards model; Complementary Log-Log Link model; Accelerated Failure-Time model; Probability Theory and Statistics; Sannolikhetsteori och statistik

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APA (6th Edition):

Sjöström, L. (2019). Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta). (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388613

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sjöström, Lars. “Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta).” 2019. Thesis, Uppsala University. Accessed October 15, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388613.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sjöström, Lars. “Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta).” 2019. Web. 15 Oct 2019.

Vancouver:

Sjöström L. Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta). [Internet] [Thesis]. Uppsala University; 2019. [cited 2019 Oct 15]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388613.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sjöström L. Differences in age at breeding between two genetically different populations of brown trout (Salmo trutta). [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388613

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Florida Atlantic University

19. Zhang, Wei. Detection of multiple change-points in hazard models.

Degree: 2014, Florida Atlantic University

Summary: Change-point detection in hazard rate function is an important research topic in survival analysis. In this dissertation, we firstly review existing methods for single… (more)

Subjects/Keywords: Problem solving – Data processing.; Process control – Statistical methods.; Point processes.; Mathematical statistics.; Failure time data analysis – Data processing.; Survival analysis (Biometry) – Data processing.

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APA (6th Edition):

Zhang, W. (2014). Detection of multiple change-points in hazard models. (Thesis). Florida Atlantic University. Retrieved from http://purl.flvc.org/fau/fd/FA00004173

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Wei. “Detection of multiple change-points in hazard models.” 2014. Thesis, Florida Atlantic University. Accessed October 15, 2019. http://purl.flvc.org/fau/fd/FA00004173.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Wei. “Detection of multiple change-points in hazard models.” 2014. Web. 15 Oct 2019.

Vancouver:

Zhang W. Detection of multiple change-points in hazard models. [Internet] [Thesis]. Florida Atlantic University; 2014. [cited 2019 Oct 15]. Available from: http://purl.flvc.org/fau/fd/FA00004173.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang W. Detection of multiple change-points in hazard models. [Thesis]. Florida Atlantic University; 2014. Available from: http://purl.flvc.org/fau/fd/FA00004173

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


The Ohio State University

20. Wahl, Mark D. Quantifying the Hydraulic Performance of Treatment Wetlands.

Degree: MS, Food, Agricultural and Biological Engineering, 2010, The Ohio State University

  Constructed wetlands are becoming an increasingly common best management practice for reducing pollutants. Processes like rhizofiltration, settling of suspended particles, and degradation are all… (more)

Subjects/Keywords: Agricultural Engineering; Civil Engineering; Ecology; Engineering; Environmental Engineering; Hydrology; Statistics; constructed wetland; treatment wetland; hydraulic efficiency; hydraulic index; residence time distribution; RTD; retention time; moment index; hazard index; temporal hazard index; failure analysis; nominal divide; hazard function

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APA (6th Edition):

Wahl, M. D. (2010). Quantifying the Hydraulic Performance of Treatment Wetlands. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1275418194

Chicago Manual of Style (16th Edition):

Wahl, Mark D. “Quantifying the Hydraulic Performance of Treatment Wetlands.” 2010. Masters Thesis, The Ohio State University. Accessed October 15, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1275418194.

MLA Handbook (7th Edition):

Wahl, Mark D. “Quantifying the Hydraulic Performance of Treatment Wetlands.” 2010. Web. 15 Oct 2019.

Vancouver:

Wahl MD. Quantifying the Hydraulic Performance of Treatment Wetlands. [Internet] [Masters thesis]. The Ohio State University; 2010. [cited 2019 Oct 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275418194.

Council of Science Editors:

Wahl MD. Quantifying the Hydraulic Performance of Treatment Wetlands. [Masters Thesis]. The Ohio State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275418194


University of Florida

21. Popovich, Edward Anthony, 1957- ( Dissertant ). Nonparametric analysis of bivariate censored data.

Degree: 1983, University of Florida

A class of statistics is proposed for the problem of testing for

Subjects/Keywords: Censorship; Critical values; Gaussian distributions; Infinity; Integers; Random variables; Rank tests; Simulations; Statistics; Tin; Biometry; Failure time data analysis; Nonparametric statistics; Statistics thesis Ph. D

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APA (6th Edition):

Popovich, Edward Anthony, 1. (. D. ). (1983). Nonparametric analysis of bivariate censored data. (Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UF00098066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Popovich, Edward Anthony, 1957- ( Dissertant ). “Nonparametric analysis of bivariate censored data.” 1983. Thesis, University of Florida. Accessed October 15, 2019. http://ufdc.ufl.edu/UF00098066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Popovich, Edward Anthony, 1957- ( Dissertant ). “Nonparametric analysis of bivariate censored data.” 1983. Web. 15 Oct 2019.

Vancouver:

Popovich, Edward Anthony 1(D). Nonparametric analysis of bivariate censored data. [Internet] [Thesis]. University of Florida; 1983. [cited 2019 Oct 15]. Available from: http://ufdc.ufl.edu/UF00098066.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Popovich, Edward Anthony 1(D). Nonparametric analysis of bivariate censored data. [Thesis]. University of Florida; 1983. Available from: http://ufdc.ufl.edu/UF00098066

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Yao, Bin. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.

Degree: PhD, Statistics, 2016, University of South Carolina

  This dissertation discusses three important research topics on semiparametric regression analysis of panel count data and interval-censored data. Both types of data arise commonly… (more)

Subjects/Keywords: Physical Sciences and Mathematics; Statistics and Probability; Semiparametric; Regression; Panel Count; Interval-Censored; Failure Time Data

…review. 1.2 Interval-censored data Time-to-event data is also referred to as failure time… …studies, sociological studies and reliability experiments. In such studies the failure time of… …of time-to-event data, in which the failure time of interest is not exactly observed but is… …the failure time to an event of a study subject. The random failure time T is interval… …a response that has a negative impact on overall cosmetic appearance. The failure time was… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yao, B. (2016). Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/3539

Chicago Manual of Style (16th Edition):

Yao, Bin. “Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.” 2016. Doctoral Dissertation, University of South Carolina. Accessed October 15, 2019. https://scholarcommons.sc.edu/etd/3539.

MLA Handbook (7th Edition):

Yao, Bin. “Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data.” 2016. Web. 15 Oct 2019.

Vancouver:

Yao B. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. [Internet] [Doctoral dissertation]. University of South Carolina; 2016. [cited 2019 Oct 15]. Available from: https://scholarcommons.sc.edu/etd/3539.

Council of Science Editors:

Yao B. Semiparametric Regression Analysis of Panel Count Data and Interval-Censored Failure Time Data. [Doctoral Dissertation]. University of South Carolina; 2016. Available from: https://scholarcommons.sc.edu/etd/3539

23. Nguyen, Dinh Tuan. Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models.

Degree: Docteur es, Optimisation et Sûreté des Systèmes, 2015, Troyes

Cette thèse est consacrée à la modélisation de la maintenance imparfaite par les modèles statistiques. La maintenance imparfaite est le cas intermédiaire de deux situations… (more)

Subjects/Keywords: Fiabilité; Statistique; Statistique bayésienne; Processus ponctuels; Estimation de paramètres; Entretien; Déterioration; Temps entre défaillances, Analyse des; Reliability (Engineering); Statistics; Bayesian statistical decision theory; Point processes; Parameter estimation; Maintenance; Deterioration; Failure time data analysis; 620.004

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APA (6th Edition):

Nguyen, D. T. (2015). Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models. (Doctoral Dissertation). Troyes. Retrieved from http://www.theses.fr/2015TROY0034

Chicago Manual of Style (16th Edition):

Nguyen, Dinh Tuan. “Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models.” 2015. Doctoral Dissertation, Troyes. Accessed October 15, 2019. http://www.theses.fr/2015TROY0034.

MLA Handbook (7th Edition):

Nguyen, Dinh Tuan. “Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models.” 2015. Web. 15 Oct 2019.

Vancouver:

Nguyen DT. Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models. [Internet] [Doctoral dissertation]. Troyes; 2015. [cited 2019 Oct 15]. Available from: http://www.theses.fr/2015TROY0034.

Council of Science Editors:

Nguyen DT. Propriétés asymtpotiques et inférence avec des données manquantes pour les modèles de maintenance imparfaite : Asymptotic properties and inference with missing data for imperfect maintenance models. [Doctoral Dissertation]. Troyes; 2015. Available from: http://www.theses.fr/2015TROY0034

24. Duan, Ran. The nonparametric analysis of interval-censored failure time data.

Degree: 2013, University of Missouri – Columbia

 By interval-censored failure time data, we mean that the failure time of interest is observed to belong to some windows or intervals, instead of being… (more)

Subjects/Keywords: Failure time data analysis.; Survival analysis (Biometry).; Regression analysis.; Statistics.; Clinical trials  – Statistical methods.

…NONPARAMETRIC METHODS FOR THE ANALYSIS OF INTERVAL-CENSORED FAILURE TIME DATA Ran Duan Dr. (Tony… …x29; Jianguo Sun, Dissertation Supervisor ABSTRACT By interval-censored failure time data… …we mean that the failure time of interest is observed to belong to some windows or… …survival functions is one of the main tasks in failure viii time studies such as clinical… …trials. For interval-censored failure time data, a few nonparametric test procedures have been… 

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APA (6th Edition):

Duan, R. (2013). The nonparametric analysis of interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/43236

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Duan, Ran. “The nonparametric analysis of interval-censored failure time data.” 2013. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. http://hdl.handle.net/10355/43236.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Duan, Ran. “The nonparametric analysis of interval-censored failure time data.” 2013. Web. 15 Oct 2019.

Vancouver:

Duan R. The nonparametric analysis of interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2013. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10355/43236.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Duan R. The nonparametric analysis of interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2013. Available from: http://hdl.handle.net/10355/43236

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Wang, Shufang. Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time.

Degree: PhD, Biostatistics, 2012, University of Michigan

 Multinomial logit model with random effects is a common choice for modeling correlated nominal responses. But due to the presence of random effects and the… (more)

Subjects/Keywords: Artificial Mixture Method; Discrete Failure Time; Quasi-EM; Statistics and Numeric Data; Science

…Discrete Failure Time by Shufang Wang Chair: Alexander Tsodikov Multinomial logit model with… …discrete failure time data in large data sets, there are often many ties and a large number of… …us to develop artificial mixture methods to discrete failure time data. We consider a… …Nominal or polytomous response data and discrete failure time data are very common in many fields… …Failure Time Data For large-scale studies, failure time data are often collected in a discrete… 

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APA (6th Edition):

Wang, S. (2012). Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91531

Chicago Manual of Style (16th Edition):

Wang, Shufang. “Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time.” 2012. Doctoral Dissertation, University of Michigan. Accessed October 15, 2019. http://hdl.handle.net/2027.42/91531.

MLA Handbook (7th Edition):

Wang, Shufang. “Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time.” 2012. Web. 15 Oct 2019.

Vancouver:

Wang S. Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2027.42/91531.

Council of Science Editors:

Wang S. Artificial Mixture Methods for Correlated Nominal Responses and Discrete Failure Time. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91531

26. Li, Junlong. Regression analysis of clustered interval-censored failure time data.

Degree: 2012, University of Missouri – Columbia

 Clustered failure time data occur when the failure times of interest are clustered into small groups, while interval censoring occurs when the event of interest… (more)

Subjects/Keywords: clustered failure time data; interval-censoring; regression analysis; event of interest; Failure time data analysis; Censored observations (Statistics); Cox proportional hazards model

…vii 94 REGRESSION ANALYSIS OF CLUSTERED INTERVAL-CENSORED FAILURE TIME DATA Junlong Li… …Dr. (Tony) Jianguo Sun, Dissertation Supervisor ABSTRACT Clustered failure time… …censored failure time data. In the first part of this dissertation, we will discuss regression… …analysis of clustered interval-censored failure time data under a Cox frailty model by employing… …based approach for regression analysis of clustered interval-censored failure time data… 

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APA (6th Edition):

Li, J. (2012). Regression analysis of clustered interval-censored failure time data. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/36688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Junlong. “Regression analysis of clustered interval-censored failure time data.” 2012. Thesis, University of Missouri – Columbia. Accessed October 15, 2019. http://hdl.handle.net/10355/36688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Junlong. “Regression analysis of clustered interval-censored failure time data.” 2012. Web. 15 Oct 2019.

Vancouver:

Li J. Regression analysis of clustered interval-censored failure time data. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/10355/36688.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li J. Regression analysis of clustered interval-censored failure time data. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/36688

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

27. Ireson, Michael J., 1942-. Nonparametric regression in the analysis of survival data.

Degree: 1983, University of Florida

Subjects/Keywords: Censored data; Censorship; Confidence interval; Estimation methods; Permutations; Point estimators; Sample size; Simulations; Statistical discrepancies; Subroutines; Failure time data analysis ( fast ); Nonparametric statistics ( fast ); Regression analysis ( fast )

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APA (6th Edition):

Ireson, Michael J., 1. (1983). Nonparametric regression in the analysis of survival data. (Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/AA00032928

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ireson, Michael J., 1942-. “Nonparametric regression in the analysis of survival data.” 1983. Thesis, University of Florida. Accessed October 15, 2019. http://ufdc.ufl.edu/AA00032928.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ireson, Michael J., 1942-. “Nonparametric regression in the analysis of survival data.” 1983. Web. 15 Oct 2019.

Vancouver:

Ireson, Michael J. 1. Nonparametric regression in the analysis of survival data. [Internet] [Thesis]. University of Florida; 1983. [cited 2019 Oct 15]. Available from: http://ufdc.ufl.edu/AA00032928.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ireson, Michael J. 1. Nonparametric regression in the analysis of survival data. [Thesis]. University of Florida; 1983. Available from: http://ufdc.ufl.edu/AA00032928

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

28. Ding, Ying. Some New Insights about the Accelerated Failure Time Model.

Degree: PhD, Biostatistics, 2010, University of Michigan

 The semiparametric linear model is an important alternative to the Cox proportional hazards model for censored survival outcomes. In this dissertation, we provide some new… (more)

Subjects/Keywords: Accelerated Failure Time Model; Censored Survival Outcome; Intercept Estimation; Sieve Maximum Likelihood Estimation; B-spline; Semiparametric Efficiency; Statistics and Numeric Data; Science

…3.3 3.4 3.5 3.6 3.7 3.8 3.2.1 Accelerated Failure Time Model and Existing Estimators… …logarithm scale) for the PBC data by fitting the accelerated failure time model via leave… …Accelerated failure time regression for the Mayor PBC data. The proposed estimators (B-spline… …the hazard function, the later model postulates a direct relationship between failure time… …corresponding asymptotic properties. 1.1 Estimation of the Intercept in the Accelerated Failure Time… 

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APA (6th Edition):

Ding, Y. (2010). Some New Insights about the Accelerated Failure Time Model. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/76009

Chicago Manual of Style (16th Edition):

Ding, Ying. “Some New Insights about the Accelerated Failure Time Model.” 2010. Doctoral Dissertation, University of Michigan. Accessed October 15, 2019. http://hdl.handle.net/2027.42/76009.

MLA Handbook (7th Edition):

Ding, Ying. “Some New Insights about the Accelerated Failure Time Model.” 2010. Web. 15 Oct 2019.

Vancouver:

Ding Y. Some New Insights about the Accelerated Failure Time Model. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2027.42/76009.

Council of Science Editors:

Ding Y. Some New Insights about the Accelerated Failure Time Model. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/76009


Queensland University of Technology

29. Kelly, Jodie. Topics in the statistical analysis of positive and survival data.

Degree: 1998, Queensland University of Technology

Subjects/Keywords: Estimation theory; Statistics; Failure time data analysis; infinite maximum liklihood estimates; fractional factorial designs; bias reduction; right censored data; process improvement studies; optimal estimating equations; extended quasi-liklihood; pseudoliklihood; multiplicative-error models; confounding; Wilson-Hilferty approximation; transformation to normality; expected residual lifetime; secant approximation; thesis; doctoral

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APA (6th Edition):

Kelly, J. (1998). Topics in the statistical analysis of positive and survival data. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/37027/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kelly, Jodie. “Topics in the statistical analysis of positive and survival data.” 1998. Thesis, Queensland University of Technology. Accessed October 15, 2019. http://eprints.qut.edu.au/37027/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kelly, Jodie. “Topics in the statistical analysis of positive and survival data.” 1998. Web. 15 Oct 2019.

Vancouver:

Kelly J. Topics in the statistical analysis of positive and survival data. [Internet] [Thesis]. Queensland University of Technology; 1998. [cited 2019 Oct 15]. Available from: http://eprints.qut.edu.au/37027/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kelly J. Topics in the statistical analysis of positive and survival data. [Thesis]. Queensland University of Technology; 1998. Available from: http://eprints.qut.edu.au/37027/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Kong, Shengchun. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.

Degree: PhD, Biostatistics, 2014, University of Michigan

 Censored survival data arise commonly in many areas including epidemiology, engineering and sociology. In this dissertation, we explore several emerging statistical issues for censored survival… (more)

Subjects/Keywords: Cox Regression, Finite Sample, Lasso, Oracle Inequality, Variable Selection; Accelerate Failure Time Model; Censored Covariate; Empirical Process; Generalized Linear Models; Pseudo-likelihood Estimation.; Mixed Effects Model; Cox Regression; Empirical Process; Pseudo-maximum Likelihood Estimation; Public Health; Statistics and Numeric Data; Health Sciences; Science

…based approach for the regression parameters using an accelerated failure time model for the… …semiparametric accelerated failure time (AFT) model, conditional on all the fully observed… …analysis results for the time to final menstrual period with covariate anti-Mullerian hormone… …43 Simulation results for equally spaced time interval with sharp nonlinear term. varb… …boostrap variance estimator; CR=coverage rate . 75 Simulation results for equally spaced time… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kong, S. (2014). New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/108930

Chicago Manual of Style (16th Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Doctoral Dissertation, University of Michigan. Accessed October 15, 2019. http://hdl.handle.net/2027.42/108930.

MLA Handbook (7th Edition):

Kong, Shengchun. “New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate.” 2014. Web. 15 Oct 2019.

Vancouver:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2019 Oct 15]. Available from: http://hdl.handle.net/2027.42/108930.

Council of Science Editors:

Kong S. New Statistical Issues for Censored Survival Data: High-Dimensionality and Censored Covariate. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/108930

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