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You searched for subject:( Covariates). Showing records 1 – 30 of 85 total matches.

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Oregon State University

1. Giovanini, John. Generalized linear mixed models with censored covariates.

Degree: PhD, Statistics, 2008, Oregon State University

 This dissertation is about statistical methods for data analysis using generalized linear mixed models (GLMMs) with censored covariates. Special attention in given to the particular… (more)

Subjects/Keywords: Censored covariates; Multilevel models (Statistics)

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APA (6th Edition):

Giovanini, J. (2008). Generalized linear mixed models with censored covariates. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/9021

Chicago Manual of Style (16th Edition):

Giovanini, John. “Generalized linear mixed models with censored covariates.” 2008. Doctoral Dissertation, Oregon State University. Accessed August 07, 2020. http://hdl.handle.net/1957/9021.

MLA Handbook (7th Edition):

Giovanini, John. “Generalized linear mixed models with censored covariates.” 2008. Web. 07 Aug 2020.

Vancouver:

Giovanini J. Generalized linear mixed models with censored covariates. [Internet] [Doctoral dissertation]. Oregon State University; 2008. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1957/9021.

Council of Science Editors:

Giovanini J. Generalized linear mixed models with censored covariates. [Doctoral Dissertation]. Oregon State University; 2008. Available from: http://hdl.handle.net/1957/9021


University of Waterloo

2. Cigsar, Candemir. Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes.

Degree: 2010, University of Waterloo

 Recurrent events experienced by individual units or systems occur in many fields. The main target of this thesis is to develop formal tests for certain… (more)

Subjects/Keywords: Internal covariates; Imperfect repair

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APA (6th Edition):

Cigsar, C. (2010). Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/5554

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):

Cigsar, Candemir. “Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes.” 2010. Thesis, University of Waterloo. Accessed August 07, 2020. http://hdl.handle.net/10012/5554.

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

MLA Handbook (7th Edition):

Cigsar, Candemir. “Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes.” 2010. Web. 07 Aug 2020.

Vancouver:

Cigsar C. Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes. [Internet] [Thesis]. University of Waterloo; 2010. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10012/5554.

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

Council of Science Editors:

Cigsar C. Some Models and Tests for Carryover Effects and Trends in Recurrent Event Processes. [Thesis]. University of Waterloo; 2010. Available from: http://hdl.handle.net/10012/5554

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


University of Arizona

3. Gu, Wanlu. Automated Knowledge Discovery in Healthcare from Complex Data with Covariates .

Degree: 2020, University of Arizona

 In this dissertation, the Phase-Type (PH) distribution is studied with consideration of covariates to model and investigate the patient flow information. The length-of-stay (LOS) data… (more)

Subjects/Keywords: Covariates; Length-of-stay; Phase-type distribution

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APA (6th Edition):

Gu, W. (2020). Automated Knowledge Discovery in Healthcare from Complex Data with Covariates . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/641755

Chicago Manual of Style (16th Edition):

Gu, Wanlu. “Automated Knowledge Discovery in Healthcare from Complex Data with Covariates .” 2020. Doctoral Dissertation, University of Arizona. Accessed August 07, 2020. http://hdl.handle.net/10150/641755.

MLA Handbook (7th Edition):

Gu, Wanlu. “Automated Knowledge Discovery in Healthcare from Complex Data with Covariates .” 2020. Web. 07 Aug 2020.

Vancouver:

Gu W. Automated Knowledge Discovery in Healthcare from Complex Data with Covariates . [Internet] [Doctoral dissertation]. University of Arizona; 2020. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10150/641755.

Council of Science Editors:

Gu W. Automated Knowledge Discovery in Healthcare from Complex Data with Covariates . [Doctoral Dissertation]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/641755


Eastern Michigan University

4. Reslan, Summar. Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students.

Degree: MS, Psychology, 2010, Eastern Michigan University

  The purpose of this investigation was to examine the factors which moderate service utilization among college students, as well as risk factors for binge… (more)

Subjects/Keywords: Binge Eating Disoder (BED); Psychological Covariates; Behavioral Covariates; Healthcare Utilization; College Students; Obesity; Psychology

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APA (6th Edition):

Reslan, S. (2010). Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students. (Masters Thesis). Eastern Michigan University. Retrieved from https://commons.emich.edu/theses/282

Chicago Manual of Style (16th Edition):

Reslan, Summar. “Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students.” 2010. Masters Thesis, Eastern Michigan University. Accessed August 07, 2020. https://commons.emich.edu/theses/282.

MLA Handbook (7th Edition):

Reslan, Summar. “Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students.” 2010. Web. 07 Aug 2020.

Vancouver:

Reslan S. Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students. [Internet] [Masters thesis]. Eastern Michigan University; 2010. [cited 2020 Aug 07]. Available from: https://commons.emich.edu/theses/282.

Council of Science Editors:

Reslan S. Relationships between binge eating, psychological and behavioral covariates, and health care utilization on college campuses: Results from a national sample of college students. [Masters Thesis]. Eastern Michigan University; 2010. Available from: https://commons.emich.edu/theses/282


UCLA

5. Razaee, Zahra. Community Detection in Networks with Node Covariates.

Degree: Statistics, 2017, UCLA

 Community detection or clustering is a fundamental task in the analysis of network data. Most networks come with annotations which can be in form of… (more)

Subjects/Keywords: Statistics; Bipartite; Community Detection; Network; Node Covariates; Stochastic Blockmodel

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APA (6th Edition):

Razaee, Z. (2017). Community Detection in Networks with Node Covariates. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3343v33s

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):

Razaee, Zahra. “Community Detection in Networks with Node Covariates.” 2017. Thesis, UCLA. Accessed August 07, 2020. http://www.escholarship.org/uc/item/3343v33s.

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

MLA Handbook (7th Edition):

Razaee, Zahra. “Community Detection in Networks with Node Covariates.” 2017. Web. 07 Aug 2020.

Vancouver:

Razaee Z. Community Detection in Networks with Node Covariates. [Internet] [Thesis]. UCLA; 2017. [cited 2020 Aug 07]. Available from: http://www.escholarship.org/uc/item/3343v33s.

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

Council of Science Editors:

Razaee Z. Community Detection in Networks with Node Covariates. [Thesis]. UCLA; 2017. Available from: http://www.escholarship.org/uc/item/3343v33s

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


University of South Carolina

6. Baek, Seungchul. Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation.

Degree: PhD, Statistics, 2018, University of South Carolina

  The development of science and technology has enabled the use of more covariates. As a result, it has become more difficult to identify dependencies… (more)

Subjects/Keywords: Statistics and Probability; Dimension; Reduction; Covariates; Pathway; Activity; Estimation

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APA (6th Edition):

Baek, S. (2018). Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation. (Doctoral Dissertation). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/4519

Chicago Manual of Style (16th Edition):

Baek, Seungchul. “Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation.” 2018. Doctoral Dissertation, University of South Carolina. Accessed August 07, 2020. https://scholarcommons.sc.edu/etd/4519.

MLA Handbook (7th Edition):

Baek, Seungchul. “Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation.” 2018. Web. 07 Aug 2020.

Vancouver:

Baek S. Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation. [Internet] [Doctoral dissertation]. University of South Carolina; 2018. [cited 2020 Aug 07]. Available from: https://scholarcommons.sc.edu/etd/4519.

Council of Science Editors:

Baek S. Dimension Reduction for Classification With Many Covariates and Pathway Activity Level Estimation. [Doctoral Dissertation]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/4519


University of Rochester

7. Chowdhry, Amit Kumar. Missing Data in Meta-Analysis.

Degree: PhD, 2016, University of Rochester

 Missing data is a problem seen throughout applied statistical analysis. Meta-analysis has many important applications throughout a wide variety of areas of research, including medicine,… (more)

Subjects/Keywords: Meta-analysis; Missing data; Standard deviations; Sample variances; Meta-regression; Covariates.

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APA (6th Edition):

Chowdhry, A. K. (2016). Missing Data in Meta-Analysis. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30685

Chicago Manual of Style (16th Edition):

Chowdhry, Amit Kumar. “Missing Data in Meta-Analysis.” 2016. Doctoral Dissertation, University of Rochester. Accessed August 07, 2020. http://hdl.handle.net/1802/30685.

MLA Handbook (7th Edition):

Chowdhry, Amit Kumar. “Missing Data in Meta-Analysis.” 2016. Web. 07 Aug 2020.

Vancouver:

Chowdhry AK. Missing Data in Meta-Analysis. [Internet] [Doctoral dissertation]. University of Rochester; 2016. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1802/30685.

Council of Science Editors:

Chowdhry AK. Missing Data in Meta-Analysis. [Doctoral Dissertation]. University of Rochester; 2016. Available from: http://hdl.handle.net/1802/30685


Universidade do Rio Grande do Sul

8. Veloso, Ricardo Campos. Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração.

Degree: 2014, Universidade do Rio Grande do Sul

Esta tese tem como objetivo a modelagem da degradação de correias em transportadores utilizados em mineração, como função do tempo e de outras covariáveis independentes… (more)

Subjects/Keywords: Degradation; Correias transportadoras : Degradação; Belts; Covariates; Multiple linear regression

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APA (6th Edition):

Veloso, R. C. (2014). Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/127780

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):

Veloso, Ricardo Campos. “Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração.” 2014. Thesis, Universidade do Rio Grande do Sul. Accessed August 07, 2020. http://hdl.handle.net/10183/127780.

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

MLA Handbook (7th Edition):

Veloso, Ricardo Campos. “Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração.” 2014. Web. 07 Aug 2020.

Vancouver:

Veloso RC. Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2014. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10183/127780.

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

Council of Science Editors:

Veloso RC. Modelagem de curvas de degradação de correias transportadoras com base em covariáveis inerentes ao processo de mineração. [Thesis]. Universidade do Rio Grande do Sul; 2014. Available from: http://hdl.handle.net/10183/127780

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


Queensland University of Technology

9. Yu, Yi. Intelligent reliability analysis with incomplete covariates.

Degree: 2012, Queensland University of Technology

 The reliability analysis is crucial to reducing unexpected down time, severe failures and ever tightened maintenance budget of engineering assets. Hazard based reliability methods are… (more)

Subjects/Keywords: engineering asset management; hazard models; incomplete covariates; neural networks; reliability analysis

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APA (6th Edition):

Yu, Y. (2012). Intelligent reliability analysis with incomplete covariates. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/61613/

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):

Yu, Yi. “Intelligent reliability analysis with incomplete covariates.” 2012. Thesis, Queensland University of Technology. Accessed August 07, 2020. https://eprints.qut.edu.au/61613/.

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

MLA Handbook (7th Edition):

Yu, Yi. “Intelligent reliability analysis with incomplete covariates.” 2012. Web. 07 Aug 2020.

Vancouver:

Yu Y. Intelligent reliability analysis with incomplete covariates. [Internet] [Thesis]. Queensland University of Technology; 2012. [cited 2020 Aug 07]. Available from: https://eprints.qut.edu.au/61613/.

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

Council of Science Editors:

Yu Y. Intelligent reliability analysis with incomplete covariates. [Thesis]. Queensland University of Technology; 2012. Available from: https://eprints.qut.edu.au/61613/

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


University of Notre Dame

10. Amanda Jean Sgroi. Exploration of the Impostor Distribution for Face-Based Biometrics</h1>.

Degree: Computer Science and Engineering, 2015, University of Notre Dame

  Face-based biometrics has become popular in many security applications due to the compromises made between reliability, social acceptance, and privacy. Many high performance face… (more)

Subjects/Keywords: score analysis; biometrics; computer vision; covariates; image morphing

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APA (6th Edition):

Sgroi, A. J. (2015). Exploration of the Impostor Distribution for Face-Based Biometrics</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/c534fn1291p

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):

Sgroi, Amanda Jean. “Exploration of the Impostor Distribution for Face-Based Biometrics</h1>.” 2015. Thesis, University of Notre Dame. Accessed August 07, 2020. https://curate.nd.edu/show/c534fn1291p.

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

MLA Handbook (7th Edition):

Sgroi, Amanda Jean. “Exploration of the Impostor Distribution for Face-Based Biometrics</h1>.” 2015. Web. 07 Aug 2020.

Vancouver:

Sgroi AJ. Exploration of the Impostor Distribution for Face-Based Biometrics</h1>. [Internet] [Thesis]. University of Notre Dame; 2015. [cited 2020 Aug 07]. Available from: https://curate.nd.edu/show/c534fn1291p.

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

Council of Science Editors:

Sgroi AJ. Exploration of the Impostor Distribution for Face-Based Biometrics</h1>. [Thesis]. University of Notre Dame; 2015. Available from: https://curate.nd.edu/show/c534fn1291p

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


University of Arizona

11. Zhu, Min. Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? .

Degree: 2018, University of Arizona

 Purpose: Complete case analysis of survival datasets with missing covariates in Cox proportional hazards model relies heavily on strong and usually unverifiable missing mechanism assumptions… (more)

Subjects/Keywords: cimar; complete case analysis; cox; fimar; missing covariates; simulation

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APA (6th Edition):

Zhu, M. (2018). Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/628126

Chicago Manual of Style (16th Edition):

Zhu, Min. “Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? .” 2018. Masters Thesis, University of Arizona. Accessed August 07, 2020. http://hdl.handle.net/10150/628126.

MLA Handbook (7th Edition):

Zhu, Min. “Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? .” 2018. Web. 07 Aug 2020.

Vancouver:

Zhu M. Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? . [Internet] [Masters thesis]. University of Arizona; 2018. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/10150/628126.

Council of Science Editors:

Zhu M. Is Complete Case Analysis Appropriate for Cox Regression with Missing Covariate Data? . [Masters Thesis]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628126


University of Southern California

12. Lin, Wei. Missing covariates and high-dimensional variable selection in additive hazards regression.

Degree: PhD, Applied Mathematics, 2011, University of Southern California

 This dissertation addresses two challenging problems arising in inference with censored failure time data. The additive hazards model provides a unified framework for these problems… (more)

Subjects/Keywords: survival analysis; missing covariates; variable selection; semiparametric inference; empirical processes

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APA (6th Edition):

Lin, W. (2011). Missing covariates and high-dimensional variable selection in additive hazards regression. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098

Chicago Manual of Style (16th Edition):

Lin, Wei. “Missing covariates and high-dimensional variable selection in additive hazards regression.” 2011. Doctoral Dissertation, University of Southern California. Accessed August 07, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098.

MLA Handbook (7th Edition):

Lin, Wei. “Missing covariates and high-dimensional variable selection in additive hazards regression.” 2011. Web. 07 Aug 2020.

Vancouver:

Lin W. Missing covariates and high-dimensional variable selection in additive hazards regression. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Aug 07]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098.

Council of Science Editors:

Lin W. Missing covariates and high-dimensional variable selection in additive hazards regression. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/647043/rec/4098


University of Kansas

13. Lu, Pengcheng. Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates.

Degree: PhD, Biostatistics, 2019, University of Kansas

 There is no phenomenal method practitioners can use as a appropriate tool for model validation when sparse data are presented in multiple logistic regression models.… (more)

Subjects/Keywords: Biostatistics; Continuous Covariates; Goodness-of-fit Test; Logistic Regression; Sparse Data

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APA (6th Edition):

Lu, P. (2019). Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/30153

Chicago Manual of Style (16th Edition):

Lu, Pengcheng. “Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates.” 2019. Doctoral Dissertation, University of Kansas. Accessed August 07, 2020. http://hdl.handle.net/1808/30153.

MLA Handbook (7th Edition):

Lu, Pengcheng. “Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates.” 2019. Web. 07 Aug 2020.

Vancouver:

Lu P. Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates. [Internet] [Doctoral dissertation]. University of Kansas; 2019. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1808/30153.

Council of Science Editors:

Lu P. Topics in Goodness-of-fit Test for Logistic Regression Models with Continuous Covariates. [Doctoral Dissertation]. University of Kansas; 2019. Available from: http://hdl.handle.net/1808/30153


University of Cape Town

14. Nwoko, Onyekachi Esther. Approaches for Handling Time-Varying Covariates in Survival Models.

Degree: MSc, Statistical Sciences, 2019, University of Cape Town

 Survival models are used in analysing time-to-event data. This type of data is very common in medical research. The Cox proportional hazard model is commonly… (more)

Subjects/Keywords: Survival models; longitudinal models; time-dependent effects; time-varying covariates

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APA (6th Edition):

Nwoko, O. E. (2019). Approaches for Handling Time-Varying Covariates in Survival Models. (Masters Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/31187

Chicago Manual of Style (16th Edition):

Nwoko, Onyekachi Esther. “Approaches for Handling Time-Varying Covariates in Survival Models.” 2019. Masters Thesis, University of Cape Town. Accessed August 07, 2020. http://hdl.handle.net/11427/31187.

MLA Handbook (7th Edition):

Nwoko, Onyekachi Esther. “Approaches for Handling Time-Varying Covariates in Survival Models.” 2019. Web. 07 Aug 2020.

Vancouver:

Nwoko OE. Approaches for Handling Time-Varying Covariates in Survival Models. [Internet] [Masters thesis]. University of Cape Town; 2019. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/11427/31187.

Council of Science Editors:

Nwoko OE. Approaches for Handling Time-Varying Covariates in Survival Models. [Masters Thesis]. University of Cape Town; 2019. Available from: http://hdl.handle.net/11427/31187


Arizona State University

15. Wurpts, Ingrid Carlson. Testing the Limits of Latent Class Analysis.

Degree: MA, Psychology, 2012, Arizona State University

 The purpose of this study was to examine under which conditions "good" data characteristics can compensate for "poor" characteristics in Latent Class Analysis (LCA), as… (more)

Subjects/Keywords: Psychology; Statistics; covariates; indicators; latent class analysis; parameter bias; simulation study

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APA (6th Edition):

Wurpts, I. C. (2012). Testing the Limits of Latent Class Analysis. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/14788

Chicago Manual of Style (16th Edition):

Wurpts, Ingrid Carlson. “Testing the Limits of Latent Class Analysis.” 2012. Masters Thesis, Arizona State University. Accessed August 07, 2020. http://repository.asu.edu/items/14788.

MLA Handbook (7th Edition):

Wurpts, Ingrid Carlson. “Testing the Limits of Latent Class Analysis.” 2012. Web. 07 Aug 2020.

Vancouver:

Wurpts IC. Testing the Limits of Latent Class Analysis. [Internet] [Masters thesis]. Arizona State University; 2012. [cited 2020 Aug 07]. Available from: http://repository.asu.edu/items/14788.

Council of Science Editors:

Wurpts IC. Testing the Limits of Latent Class Analysis. [Masters Thesis]. Arizona State University; 2012. Available from: http://repository.asu.edu/items/14788


University of Georgia

16. Wang, Shiyao. Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data.

Degree: PhD, Statistics, 2015, University of Georgia

 People who attempt to lose weight and maintain weight loss often fail as a consequence of lapses in dietary and exercise protocols leading to weight… (more)

Subjects/Keywords: Point Sampling; EMA; Horvitz-Thompson estimator; Point Process; Longitudinal Data; Time varying covariates

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APA (6th Edition):

Wang, S. (2015). Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wang_shiyao_201512_phd

Chicago Manual of Style (16th Edition):

Wang, Shiyao. “Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data.” 2015. Doctoral Dissertation, University of Georgia. Accessed August 07, 2020. http://purl.galileo.usg.edu/uga_etd/wang_shiyao_201512_phd.

MLA Handbook (7th Edition):

Wang, Shiyao. “Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data.” 2015. Web. 07 Aug 2020.

Vancouver:

Wang S. Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data. [Internet] [Doctoral dissertation]. University of Georgia; 2015. [cited 2020 Aug 07]. Available from: http://purl.galileo.usg.edu/uga_etd/wang_shiyao_201512_phd.

Council of Science Editors:

Wang S. Estimating equations for fitting linear regression models describing the impact of partially-observed time-varying predictors on patterns of weight change among participants seeking to lose weight using ecological momentary assessment data. [Doctoral Dissertation]. University of Georgia; 2015. Available from: http://purl.galileo.usg.edu/uga_etd/wang_shiyao_201512_phd


Case Western Reserve University

17. Ou, Ju-Chi. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.

Degree: PhD, Epidemiology and Biostatistics, 2010, Case Western Reserve University

  Spatial patterns in data have become an important feature to consider in the statistical analysis in medical esearch. The analysis of data from observational… (more)

Subjects/Keywords: Biostatistics; PROPENSITY SCORE; outcome model; PROPENSITY; Balance scores; covariates; Propensity score models

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APA (6th Edition):

Ou, J. (2010). Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742

Chicago Manual of Style (16th Edition):

Ou, Ju-Chi. “Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.” 2010. Doctoral Dissertation, Case Western Reserve University. Accessed August 07, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742.

MLA Handbook (7th Edition):

Ou, Ju-Chi. “Propensity Score Analysis of Exposure Effects for Spatially Correlated Data.” 2010. Web. 07 Aug 2020.

Vancouver:

Ou J. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2010. [cited 2020 Aug 07]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742.

Council of Science Editors:

Ou J. Propensity Score Analysis of Exposure Effects for Spatially Correlated Data. [Doctoral Dissertation]. Case Western Reserve University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1263921742

18. Polli, Demerson Andre. Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis.

Degree: Mestrado, Estatística, 2007, University of São Paulo

O desenvolvimento de métodos para o tratamento de omissões nos dados é recente na estatística e tem sido alvo de muitas pesquisas. A presença de… (more)

Subjects/Keywords: análise de sobrevivência; bayesian inference; inferência bayesiana; missing covariates; omissão nas covariáveis; survival analysis

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APA (6th Edition):

Polli, D. A. (2007). Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05052007-174318/ ;

Chicago Manual of Style (16th Edition):

Polli, Demerson Andre. “Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis.” 2007. Masters Thesis, University of São Paulo. Accessed August 07, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05052007-174318/ ;.

MLA Handbook (7th Edition):

Polli, Demerson Andre. “Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis.” 2007. Web. 07 Aug 2020.

Vancouver:

Polli DA. Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis. [Internet] [Masters thesis]. University of São Paulo; 2007. [cited 2020 Aug 07]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05052007-174318/ ;.

Council of Science Editors:

Polli DA. Um estudo de métodos bayesianos para dados de sobrevivência com omissão nas covariáveis. [Masters Thesis]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05052007-174318/ ;

19. Paes, Angela Tavares. Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis.

Degree: PhD, Estatística, 2007, University of São Paulo

Em estudos cujo interesse é avaliar o efeito de fatores prognósticos sobre a sobrevida ou algum outro evento de interesse, é comum o uso de… (more)

Subjects/Keywords: cure rate models; fração de cura; missing covariates; omissão nas covariáveis; sobrevivência; survival

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

APA (6th Edition):

Paes, A. T. (2007). Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-22072007-134749/ ;

Chicago Manual of Style (16th Edition):

Paes, Angela Tavares. “Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis.” 2007. Doctoral Dissertation, University of São Paulo. Accessed August 07, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-22072007-134749/ ;.

MLA Handbook (7th Edition):

Paes, Angela Tavares. “Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis.” 2007. Web. 07 Aug 2020.

Vancouver:

Paes AT. Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis. [Internet] [Doctoral dissertation]. University of São Paulo; 2007. [cited 2020 Aug 07]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-22072007-134749/ ;.

Council of Science Editors:

Paes AT. Uso de modelos com fração de cura na análise de dados de sobrevivência com omissão nas covariáveis. [Doctoral Dissertation]. University of São Paulo; 2007. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-22072007-134749/ ;


Universidade Federal de Viçosa

20. Luciane da Silva Oliveira. Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas.

Degree: 2011, Universidade Federal de Viçosa

Logistic regression is the analysis usual statistical method used to verify the relationship between a dichotomous variable response and the interest explanatory variables. This work… (more)

Subjects/Keywords: Invertebrados edáficos; Seleção de covariáveis; Regressão logística; CIENCIAS AGRARIAS; Logistic regression; Edaphic invertebrates; Covariates selection

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APA (6th Edition):

Oliveira, L. d. S. (2011). Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3855

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):

Oliveira, Luciane da Silva. “Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas.” 2011. Thesis, Universidade Federal de Viçosa. Accessed August 07, 2020. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3855.

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

MLA Handbook (7th Edition):

Oliveira, Luciane da Silva. “Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas.” 2011. Web. 07 Aug 2020.

Vancouver:

Oliveira LdS. Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas. [Internet] [Thesis]. Universidade Federal de Viçosa; 2011. [cited 2020 Aug 07]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3855.

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

Council of Science Editors:

Oliveira LdS. Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas. [Thesis]. Universidade Federal de Viçosa; 2011. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=3855

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


University of Wisconsin – Milwaukee

21. Gebauer, Madlen. Semiparametric Estimation of the Survival Function in the Presence of Covariates.

Degree: MS, Mathematics, 2015, University of Wisconsin – Milwaukee

  The main interest of survival analysis is to estimate the distribution function of the survival time based on observations of a random sample. In… (more)

Subjects/Keywords: Censored Data; Confidence Band; Covariates; Likelihood Ratio; Maximum Likelihood Estimation; Semiparametric Estimator; Mathematics

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

APA (6th Edition):

Gebauer, M. (2015). Semiparametric Estimation of the Survival Function in the Presence of Covariates. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/805

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):

Gebauer, Madlen. “Semiparametric Estimation of the Survival Function in the Presence of Covariates.” 2015. Thesis, University of Wisconsin – Milwaukee. Accessed August 07, 2020. https://dc.uwm.edu/etd/805.

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

MLA Handbook (7th Edition):

Gebauer, Madlen. “Semiparametric Estimation of the Survival Function in the Presence of Covariates.” 2015. Web. 07 Aug 2020.

Vancouver:

Gebauer M. Semiparametric Estimation of the Survival Function in the Presence of Covariates. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2015. [cited 2020 Aug 07]. Available from: https://dc.uwm.edu/etd/805.

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

Council of Science Editors:

Gebauer M. Semiparametric Estimation of the Survival Function in the Presence of Covariates. [Thesis]. University of Wisconsin – Milwaukee; 2015. Available from: https://dc.uwm.edu/etd/805

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


Boston University

22. Choi, Seung Hoan. Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies.

Degree: PhD, Biostatistics, 2016, Boston University

 Recent Next Generation Sequencing methods provide a count of RNA molecules in the form of short reads, yielding discrete, often highly non-normally distributed gene expression… (more)

Subjects/Keywords: Biostatistics; Covariates; Data adaptive; Differential expression; Firth's logistic regression; Multiple testing correction; RNA-Seq

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

APA (6th Edition):

Choi, S. H. (2016). Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/17727

Chicago Manual of Style (16th Edition):

Choi, Seung Hoan. “Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies.” 2016. Doctoral Dissertation, Boston University. Accessed August 07, 2020. http://hdl.handle.net/2144/17727.

MLA Handbook (7th Edition):

Choi, Seung Hoan. “Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies.” 2016. Web. 07 Aug 2020.

Vancouver:

Choi SH. Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/2144/17727.

Council of Science Editors:

Choi SH. Evaluation of statistical methods, modeling, and multiple testing in RNA-seq studies. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/17727


University of North Texas

23. Johnson, Natalie Jo. Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach.

Degree: 2013, University of North Texas

 Using data from the Chicago Homicide Dataset for years 1988-1992 and the Chicago Community Area Demographics, multiple regression and mediation analysis are used to examine… (more)

Subjects/Keywords: Intimate partner homicide; intimate partner violence; general strain theory; economic strain; family disruption; structural covariates

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

APA (6th Edition):

Johnson, N. J. (2013). Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc500104/

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):

Johnson, Natalie Jo. “Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach.” 2013. Thesis, University of North Texas. Accessed August 07, 2020. https://digital.library.unt.edu/ark:/67531/metadc500104/.

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

MLA Handbook (7th Edition):

Johnson, Natalie Jo. “Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach.” 2013. Web. 07 Aug 2020.

Vancouver:

Johnson NJ. Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach. [Internet] [Thesis]. University of North Texas; 2013. [cited 2020 Aug 07]. Available from: https://digital.library.unt.edu/ark:/67531/metadc500104/.

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

Council of Science Editors:

Johnson NJ. Intimate Partner Homicide Rates in Chicago, 1988 to 1992: a Modified General Strain Theory Approach. [Thesis]. University of North Texas; 2013. Available from: https://digital.library.unt.edu/ark:/67531/metadc500104/

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


Uppsala University

24. Huo, Zhao. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.

Degree: Statistics, 2015, Uppsala University

  Multiple imputation (MI) is a commonly used approach to impute missing data. This thesis studies missing covariates in recurrent event data, and discusses ways… (more)

Subjects/Keywords: Missing data; Multiple imputation; Missing covariates; Recurrent event data; Cox PH model; PWP model

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APA (6th Edition):

Huo, Z. (2015). A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602

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):

Huo, Zhao. “A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.” 2015. Thesis, Uppsala University. Accessed August 07, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602.

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

MLA Handbook (7th Edition):

Huo, Zhao. “A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data.” 2015. Web. 07 Aug 2020.

Vancouver:

Huo Z. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. [Internet] [Thesis]. Uppsala University; 2015. [cited 2020 Aug 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602.

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

Council of Science Editors:

Huo Z. A Comparsion of Multiple Imputation Methods for Missing Covariate Values in Recurrent Event Data. [Thesis]. Uppsala University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-256602

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


University of Washington

25. Zheng, Wenying. Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates.

Degree: PhD, 2017, University of Washington

 Time-varying covariates are often encountered in survival analysis. The Cox proportional hazards model can incorporate time-varying covariates, while the interpretation of regression parameters is less… (more)

Subjects/Keywords: Counting process; Estimating equation; Semiparametric model; Survival data; Time-varying covariates; Biostatistics; biostatistics

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

APA (6th Edition):

Zheng, W. (2017). Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/38074

Chicago Manual of Style (16th Edition):

Zheng, Wenying. “Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates.” 2017. Doctoral Dissertation, University of Washington. Accessed August 07, 2020. http://hdl.handle.net/1773/38074.

MLA Handbook (7th Edition):

Zheng, Wenying. “Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates.” 2017. Web. 07 Aug 2020.

Vancouver:

Zheng W. Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates. [Internet] [Doctoral dissertation]. University of Washington; 2017. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1773/38074.

Council of Science Editors:

Zheng W. Semiparametric Analysis of an Expanded Cox Proportional Hazards Model with Time-Varying Covariates. [Doctoral Dissertation]. University of Washington; 2017. Available from: http://hdl.handle.net/1773/38074


Iowa State University

26. Shan, Qianqian. Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference.

Degree: 2019, Iowa State University

 This dissertation consists of three projects focused on seasonal recurrent event prediction, electronic circuit troubleshooting and the development of an open source software, RSpice, respectively.… (more)

Subjects/Keywords: Adaptive MCMC; Bayesian inference; Circuit simulation; Hierarchical clustering; NHPP; Seasonal dynamic covariates; Statistics and Probability

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APA (6th Edition):

Shan, Q. (2019). Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/17779

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):

Shan, Qianqian. “Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference.” 2019. Thesis, Iowa State University. Accessed August 07, 2020. https://lib.dr.iastate.edu/etd/17779.

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

MLA Handbook (7th Edition):

Shan, Qianqian. “Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference.” 2019. Web. 07 Aug 2020.

Vancouver:

Shan Q. Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference. [Internet] [Thesis]. Iowa State University; 2019. [cited 2020 Aug 07]. Available from: https://lib.dr.iastate.edu/etd/17779.

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

Council of Science Editors:

Shan Q. Topics in recurrent event prediction with generalized non-homogeneous Poisson process (NHPP) and electronic circuit troubleshooting with Bayesian inference. [Thesis]. Iowa State University; 2019. Available from: https://lib.dr.iastate.edu/etd/17779

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


Michigan State University

27. Lo, Yun-Jia. How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions.

Degree: 2012, Michigan State University

Thesis Ph. D. Michigan State University. Measurement and Quantitative Methods 2012.

In educational research, a randomized controlled trial is the best design to eliminate potential… (more)

Subjects/Keywords: Regression analysis; Analysis of variance; Statistics; Educational tests & measurements; Propensity score methods; Suppressor variables; Covariates

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APA (6th Edition):

Lo, Y. (2012). How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:1606

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):

Lo, Yun-Jia. “How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions.” 2012. Thesis, Michigan State University. Accessed August 07, 2020. http://etd.lib.msu.edu/islandora/object/etd:1606.

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

MLA Handbook (7th Edition):

Lo, Yun-Jia. “How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions.” 2012. Web. 07 Aug 2020.

Vancouver:

Lo Y. How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions. [Internet] [Thesis]. Michigan State University; 2012. [cited 2020 Aug 07]. Available from: http://etd.lib.msu.edu/islandora/object/etd:1606.

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

Council of Science Editors:

Lo Y. How a suppressor variable affects the estimation of causal effect : examples of classical and reciprocal suppressions. [Thesis]. Michigan State University; 2012. Available from: http://etd.lib.msu.edu/islandora/object/etd:1606

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


Utah State University

28. Lenz, Lauren Holt. Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data.

Degree: MS, Mathematics and Statistics, 2018, Utah State University

  The goal of genetic-based cancer research is often to identify which genes behave differently in cancerous and healthy tissue. This difference in behavior, referred… (more)

Subjects/Keywords: RNA-Seq; normalization; gene-level covariates; high-dimensional read-counts; Statistics and Probability

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

APA (6th Edition):

Lenz, L. H. (2018). Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/7392

Chicago Manual of Style (16th Edition):

Lenz, Lauren Holt. “Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data.” 2018. Masters Thesis, Utah State University. Accessed August 07, 2020. https://digitalcommons.usu.edu/etd/7392.

MLA Handbook (7th Edition):

Lenz, Lauren Holt. “Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data.” 2018. Web. 07 Aug 2020.

Vancouver:

Lenz LH. Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data. [Internet] [Masters thesis]. Utah State University; 2018. [cited 2020 Aug 07]. Available from: https://digitalcommons.usu.edu/etd/7392.

Council of Science Editors:

Lenz LH. Statistical Methods to Account for Gene-Level Covariates in Normalization of High-Dimensional Read-Count Data. [Masters Thesis]. Utah State University; 2018. Available from: https://digitalcommons.usu.edu/etd/7392


Erasmus University Rotterdam

29. Erler, Nicole. Bayesian Imputation of Missing Covariates.

Degree: Department of Biostatistics, 2019, Erasmus University Rotterdam

 markdownabstractMissing values are a pervasive problem in almost all kinds of studies. In large cohort studies, the type of study most often conducted in the… (more)

Subjects/Keywords: Bayesian; imputation; incomplete data; missing covariates

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

APA (6th Edition):

Erler, N. (2019). Bayesian Imputation of Missing Covariates. (Doctoral Dissertation). Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/116721

Chicago Manual of Style (16th Edition):

Erler, Nicole. “Bayesian Imputation of Missing Covariates.” 2019. Doctoral Dissertation, Erasmus University Rotterdam. Accessed August 07, 2020. http://hdl.handle.net/1765/116721.

MLA Handbook (7th Edition):

Erler, Nicole. “Bayesian Imputation of Missing Covariates.” 2019. Web. 07 Aug 2020.

Vancouver:

Erler N. Bayesian Imputation of Missing Covariates. [Internet] [Doctoral dissertation]. Erasmus University Rotterdam; 2019. [cited 2020 Aug 07]. Available from: http://hdl.handle.net/1765/116721.

Council of Science Editors:

Erler N. Bayesian Imputation of Missing Covariates. [Doctoral Dissertation]. Erasmus University Rotterdam; 2019. Available from: http://hdl.handle.net/1765/116721

30. Lu, Yao. Statistical Methods for Competing Risks Model.

Degree: 2014, Johns Hopkins University

 “Competing Risks” refers to the study of the time to event where there is more than one type of failure event. The distinct problem can… (more)

Subjects/Keywords: Survival analysis; competing risks; cause-specific hazard; cumulative incidence function; Cox's proportional hazard model with time-dependent covariates

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

APA (6th Edition):

Lu, Y. (2014). Statistical Methods for Competing Risks Model. (Thesis). Johns Hopkins University. Retrieved from http://jhir.library.jhu.edu/handle/1774.2/38042

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):

Lu, Yao. “Statistical Methods for Competing Risks Model.” 2014. Thesis, Johns Hopkins University. Accessed August 07, 2020. http://jhir.library.jhu.edu/handle/1774.2/38042.

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

MLA Handbook (7th Edition):

Lu, Yao. “Statistical Methods for Competing Risks Model.” 2014. Web. 07 Aug 2020.

Vancouver:

Lu Y. Statistical Methods for Competing Risks Model. [Internet] [Thesis]. Johns Hopkins University; 2014. [cited 2020 Aug 07]. Available from: http://jhir.library.jhu.edu/handle/1774.2/38042.

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

Council of Science Editors:

Lu Y. Statistical Methods for Competing Risks Model. [Thesis]. Johns Hopkins University; 2014. Available from: http://jhir.library.jhu.edu/handle/1774.2/38042

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

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