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You searched for `subject:(failure time statistics)`

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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

URL: http://hdl.handle.net/10355/6144

► *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

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/10355/7009

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Columbia University

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

Degree: 2017, Columbia University

URL: https://doi.org/10.7916/D85H7TSN

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/1928/9322

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10355/47078

► [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 (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

6.
Roy, Arjun.
* Failure*-

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

URL: https://etda.libraries.psu.edu/catalog/16179

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1487332636477037

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

Record Details Similar Records

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APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.32469/10355/4415

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarcommons.sc.edu/etd/4099

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/13528

► 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)

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.32469/10355/6144

► *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

Record Details Similar Records

❌

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarcommons.sc.edu/etd/3559

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://scholarcommons.sc.edu/etd/3996

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/2097/12546

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

Record Details Similar Records

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://ir.uiowa.edu/etd/1303

► 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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: https://doi.org/10.32469/10355/9688

► [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)

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarcommons.sc.edu/etd/547

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388613

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://purl.flvc.org/fau/fd/FA00004173

►

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1275418194

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://ufdc.ufl.edu/UF00098066

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

APA (6^{th} Edition):

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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: https://scholarcommons.sc.edu/etd/3539

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://www.theses.fr/2015TROY0034

►

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

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10355/43236

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2027.42/91531

► 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…

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://hdl.handle.net/10355/36688

► 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…

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://ufdc.ufl.edu/AA00032928

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 )

Record Details Similar Records

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

APA (6^{th} 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

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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.

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

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

URL: http://hdl.handle.net/2027.42/76009

► 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*…

Record Details Similar Records

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

APA (6^{th} 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 (16^{th} 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 (7^{th} 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

URL: http://eprints.qut.edu.au/37027/

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

Record Details Similar Records

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

APA (6^{th} 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/

Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^{th} 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/.

Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^{th} 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/.

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/

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

URL: http://hdl.handle.net/2027.42/108930

► 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 (6^{th} 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 (16^{th} 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 (7^{th} 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