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Dept: Biostatistics

You searched for subject:(regression analysis). Showing records 1 – 15 of 15 total matches.

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UCLA

1. Scheffler, Aaron Wolfe. Modeling Region-Referenced Longitudinal Functional Electroencephalography Data.

Degree: Biostatistics, 2019, UCLA

 Highly structured data collected in a variety of biomedical applications such as electroencephalography (EEG) are discrete samples of a smooth functional process observed across both… (more)

Subjects/Keywords: Biostatistics; Autism; Electroencephalography; Functional data analysis; Functional principal components analysis; Functional regression; Penalized regression

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

APA (6th Edition):

Scheffler, A. W. (2019). Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/60m6q662

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):

Scheffler, Aaron Wolfe. “Modeling Region-Referenced Longitudinal Functional Electroencephalography Data.” 2019. Thesis, UCLA. Accessed June 16, 2019. http://www.escholarship.org/uc/item/60m6q662.

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

MLA Handbook (7th Edition):

Scheffler, Aaron Wolfe. “Modeling Region-Referenced Longitudinal Functional Electroencephalography Data.” 2019. Web. 16 Jun 2019.

Vancouver:

Scheffler AW. Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Jun 16]. Available from: http://www.escholarship.org/uc/item/60m6q662.

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

Council of Science Editors:

Scheffler AW. Modeling Region-Referenced Longitudinal Functional Electroencephalography Data. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/60m6q662

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


Harvard University

2. Meyer, Mark John. Function-on-Function Regression with Public Health Applications.

Degree: PhD, Biostatistics, 2014, Harvard University

 Medical research currently involves the collection of large and complex data. One such type of data is functional data where the unit of measurement is… (more)

Subjects/Keywords: Biostatistics; Bayesian Inference; Bayesian Methods; Functional Data Analysis; Function-on-Function Regression; Wavelet Regression

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APA (6th Edition):

Meyer, M. J. (2014). Function-on-Function Regression with Public Health Applications. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591

Chicago Manual of Style (16th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Doctoral Dissertation, Harvard University. Accessed June 16, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

MLA Handbook (7th Edition):

Meyer, Mark John. “Function-on-Function Regression with Public Health Applications.” 2014. Web. 16 Jun 2019.

Vancouver:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Internet] [Doctoral dissertation]. Harvard University; 2014. [cited 2019 Jun 16]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591.

Council of Science Editors:

Meyer MJ. Function-on-Function Regression with Public Health Applications. [Doctoral Dissertation]. Harvard University; 2014. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:12274591


University of Southern California

3. Shen, Ernest. Quantile mediation models: methods for assessing mediation across the outcome distribution.

Degree: PhD, Biostatistics, 2015, University of Southern California

 Recent introduction of quantile regression methods to analysis of mediation analysis have focused primarily on multi-step methods, such as dual-stage quantile regression, or causal mediation… (more)

Subjects/Keywords: quantile regression; mediation analysis; structural equation models; multilevel models

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APA (6th Edition):

Shen, E. (2015). Quantile mediation models: methods for assessing mediation across the outcome distribution. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345038/rec/5346

Chicago Manual of Style (16th Edition):

Shen, Ernest. “Quantile mediation models: methods for assessing mediation across the outcome distribution.” 2015. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345038/rec/5346.

MLA Handbook (7th Edition):

Shen, Ernest. “Quantile mediation models: methods for assessing mediation across the outcome distribution.” 2015. Web. 16 Jun 2019.

Vancouver:

Shen E. Quantile mediation models: methods for assessing mediation across the outcome distribution. [Internet] [Doctoral dissertation]. University of Southern California; 2015. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345038/rec/5346.

Council of Science Editors:

Shen E. Quantile mediation models: methods for assessing mediation across the outcome distribution. [Doctoral Dissertation]. University of Southern California; 2015. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/345038/rec/5346


University of Southern California

4. He, Jiaxiu. Applications of multiple imputations in survival analysis.

Degree: PhD, Biostatistics, 2013, University of Southern California

 The presence of censoring is one common but critical feature for survival data. Traditional methods used different ways to address the censoring issue. These techniques… (more)

Subjects/Keywords: survival analysis; censoring; multiple imputations; survival regression; survival prediction

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APA (6th Edition):

He, J. (2013). Applications of multiple imputations in survival analysis. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315704/rec/866

Chicago Manual of Style (16th Edition):

He, Jiaxiu. “Applications of multiple imputations in survival analysis.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315704/rec/866.

MLA Handbook (7th Edition):

He, Jiaxiu. “Applications of multiple imputations in survival analysis.” 2013. Web. 16 Jun 2019.

Vancouver:

He J. Applications of multiple imputations in survival analysis. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315704/rec/866.

Council of Science Editors:

He J. Applications of multiple imputations in survival analysis. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/315704/rec/866


University of Southern California

5. Chen, Zhanghua. Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error.

Degree: PhD, Biostatistics, 2013, University of Southern California

 Evaluating the associations between the baseline value and other exposure variables with the longitudinal trajectory constantly occurs in the medical research. Traditional analyses using the… (more)

Subjects/Keywords: baseline adjustment; baseline prediction; longitudinal analysis; measurement error; mixed effects model; regression to the mean

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APA (6th Edition):

Chen, Z. (2013). Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351704/rec/2526

Chicago Manual of Style (16th Edition):

Chen, Zhanghua. “Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error.” 2013. Doctoral Dissertation, University of Southern California. Accessed June 16, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351704/rec/2526.

MLA Handbook (7th Edition):

Chen, Zhanghua. “Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error.” 2013. Web. 16 Jun 2019.

Vancouver:

Chen Z. Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error. [Internet] [Doctoral dissertation]. University of Southern California; 2013. [cited 2019 Jun 16]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351704/rec/2526.

Council of Science Editors:

Chen Z. Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error. [Doctoral Dissertation]. University of Southern California; 2013. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/351704/rec/2526


Harvard University

6. Yansane, Alfa Ibrahim Mouke. Statistical Methods for Panel Studies with Applications in Environmental Epidemiology.

Degree: PhD, Biostatistics, 2011, Harvard University

 Pollution studies have sought to understand the relationships between adverse health effects and harmful exposures. Many environmental health studies are predicated on the idea that… (more)

Subjects/Keywords: distributed lag model; hierarchical model; path analysis; regression calibration; source apportionment; structural equation model; biostatistics

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APA (6th Edition):

Yansane, A. I. M. (2011). Statistical Methods for Panel Studies with Applications in Environmental Epidemiology. (Doctoral Dissertation). Harvard University. Retrieved from http://nrs.harvard.edu/urn-3:HUL.InstRepos:10121973

Chicago Manual of Style (16th Edition):

Yansane, Alfa Ibrahim Mouke. “Statistical Methods for Panel Studies with Applications in Environmental Epidemiology.” 2011. Doctoral Dissertation, Harvard University. Accessed June 16, 2019. http://nrs.harvard.edu/urn-3:HUL.InstRepos:10121973.

MLA Handbook (7th Edition):

Yansane, Alfa Ibrahim Mouke. “Statistical Methods for Panel Studies with Applications in Environmental Epidemiology.” 2011. Web. 16 Jun 2019.

Vancouver:

Yansane AIM. Statistical Methods for Panel Studies with Applications in Environmental Epidemiology. [Internet] [Doctoral dissertation]. Harvard University; 2011. [cited 2019 Jun 16]. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10121973.

Council of Science Editors:

Yansane AIM. Statistical Methods for Panel Studies with Applications in Environmental Epidemiology. [Doctoral Dissertation]. Harvard University; 2011. Available from: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10121973


UCLA

7. Conn, Daniel Joshua. Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions.

Degree: Biostatistics, 2018, UCLA

 When the number of covariates is small, nonparametric regression methods serve a number of useful purposes. In this setting, nonparametric regression methods often demonstrate better… (more)

Subjects/Keywords: Biostatistics; Fuzzy Forests; Kernel Regression; Metric Learning; Nonparametric Estimation; Random Forests; Survival Analysis

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APA (6th Edition):

Conn, D. J. (2018). Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9z03w0zk

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):

Conn, Daniel Joshua. “Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions.” 2018. Thesis, UCLA. Accessed June 16, 2019. http://www.escholarship.org/uc/item/9z03w0zk.

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

MLA Handbook (7th Edition):

Conn, Daniel Joshua. “Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions.” 2018. Web. 16 Jun 2019.

Vancouver:

Conn DJ. Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions. [Internet] [Thesis]. UCLA; 2018. [cited 2019 Jun 16]. Available from: http://www.escholarship.org/uc/item/9z03w0zk.

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

Council of Science Editors:

Conn DJ. Utilization of Low Dimensional Structure to Improve the Performance of Nonparametric Estimation in High Dimensions. [Thesis]. UCLA; 2018. Available from: http://www.escholarship.org/uc/item/9z03w0zk

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


UCLA

8. Kawaguchi, Eric Shinya. Scalable Methods for Big Time-To-Event Data.

Degree: Biostatistics, 2019, UCLA

 Computational advancements and cost efficiency over the recent years have made big data readily available to researchers. In the biomedical and public health fields analyzing… (more)

Subjects/Keywords: Biostatistics; High-dimensional data; L0 regression; Massive sample size; Survival analysis; Variable selection

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APA (6th Edition):

Kawaguchi, E. S. (2019). Scalable Methods for Big Time-To-Event Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3h95x3km

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):

Kawaguchi, Eric Shinya. “Scalable Methods for Big Time-To-Event Data.” 2019. Thesis, UCLA. Accessed June 16, 2019. http://www.escholarship.org/uc/item/3h95x3km.

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

MLA Handbook (7th Edition):

Kawaguchi, Eric Shinya. “Scalable Methods for Big Time-To-Event Data.” 2019. Web. 16 Jun 2019.

Vancouver:

Kawaguchi ES. Scalable Methods for Big Time-To-Event Data. [Internet] [Thesis]. UCLA; 2019. [cited 2019 Jun 16]. Available from: http://www.escholarship.org/uc/item/3h95x3km.

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

Council of Science Editors:

Kawaguchi ES. Scalable Methods for Big Time-To-Event Data. [Thesis]. UCLA; 2019. Available from: http://www.escholarship.org/uc/item/3h95x3km

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


Boston University

9. Lu, Chen. New approaches to identify gene-by-gene interactions in genome wide association studies.

Degree: PhD, Biostatistics, 2013, Boston University

 Genetic variants identified to date by genome-wide association studies only explain a small fraction of total heritability. Gene-by-gene interaction is one important potential source of… (more)

Subjects/Keywords: Biostatistics; Gene-by-gene; Genome wide association; Interaction; Meta analysis; Network; Penalized regression

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APA (6th Edition):

Lu, C. (2013). New approaches to identify gene-by-gene interactions in genome wide association studies. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14107

Chicago Manual of Style (16th Edition):

Lu, Chen. “New approaches to identify gene-by-gene interactions in genome wide association studies.” 2013. Doctoral Dissertation, Boston University. Accessed June 16, 2019. http://hdl.handle.net/2144/14107.

MLA Handbook (7th Edition):

Lu, Chen. “New approaches to identify gene-by-gene interactions in genome wide association studies.” 2013. Web. 16 Jun 2019.

Vancouver:

Lu C. New approaches to identify gene-by-gene interactions in genome wide association studies. [Internet] [Doctoral dissertation]. Boston University; 2013. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2144/14107.

Council of Science Editors:

Lu C. New approaches to identify gene-by-gene interactions in genome wide association studies. [Doctoral Dissertation]. Boston University; 2013. Available from: http://hdl.handle.net/2144/14107


University of Michigan

10. Gong, Qi. Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring.

Degree: PhD, Biostatistics, 2012, University of Michigan

 The methods proposed in this dissertation are motivated by issues in the analysis of liver transplant data. In the first project, we propose semiparametric methods… (more)

Subjects/Keywords: Survival Analysis; Proportional Hazard Regression; Dependent Censoring; Time-dependent Treatment; Mean Survival Time; Cumulative Hazard; Public Health; Health Sciences

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APA (6th Edition):

Gong, Q. (2012). Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96171

Chicago Manual of Style (16th Edition):

Gong, Qi. “Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring.” 2012. Doctoral Dissertation, University of Michigan. Accessed June 16, 2019. http://hdl.handle.net/2027.42/96171.

MLA Handbook (7th Edition):

Gong, Qi. “Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring.” 2012. Web. 16 Jun 2019.

Vancouver:

Gong Q. Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2027.42/96171.

Council of Science Editors:

Gong Q. Semiparametric Methods for Estimating the Effect of a Longitudinal Covariate and Time-Dependent Treatment on Survival Using Observational Data with Dependent Censoring. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96171

11. Lanser, Austin Marcus. Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable.

Degree: MS, Biostatistics, 2015, Vanderbilt University

 A general rule of thumb for survival analysis is to have at least 15 events per variable in order to produce reliable inference in terms… (more)

Subjects/Keywords: survival analysis; Cox regression; simulation study; penalized regression; propensity score; ridge; LASSO

…CHAPTER I Introduction I.1 Basic Review of Survival Analysis The idea of studying and… …survival analysis is John Graunts 1662 life table, or mortality table [19]. Graunt’s… …life table, though novel, was very basic. Major developments in survival analysis (and… …investigations of human mortality and military equipment failure. The term ‘survival analysis’ is… …including ‘event-history analysis’ in sociology, ‘reliability analysis’ in engineering, ‘duration… 

Page 1 Page 2 Page 3 Page 4 Page 5 Page 6 Page 7

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APA (6th Edition):

Lanser, A. M. (2015). Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-03232015-121323/ ;

Chicago Manual of Style (16th Edition):

Lanser, Austin Marcus. “Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable.” 2015. Masters Thesis, Vanderbilt University. Accessed June 16, 2019. http://etd.library.vanderbilt.edu/available/etd-03232015-121323/ ;.

MLA Handbook (7th Edition):

Lanser, Austin Marcus. “Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable.” 2015. Web. 16 Jun 2019.

Vancouver:

Lanser AM. Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable. [Internet] [Masters thesis]. Vanderbilt University; 2015. [cited 2019 Jun 16]. Available from: http://etd.library.vanderbilt.edu/available/etd-03232015-121323/ ;.

Council of Science Editors:

Lanser AM. Evaluation of Methods for Survival Analysis in the Presence of Extremely Few Events Per Variable. [Masters Thesis]. Vanderbilt University; 2015. Available from: http://etd.library.vanderbilt.edu/available/etd-03232015-121323/ ;


Virginia Commonwealth University

12. Gentry, Amanda E. Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families.

Degree: PhD, Biostatistics, 2018, Virginia Commonwealth University

  The Brisbane Longitudinal Twin Study (BLTS) was being conducted in Australia and was funded by the US National Institute on Drug Abuse (NIDA). Adolescent… (more)

Subjects/Keywords: ordinal regression; penalization; mixed models; twin modeling; cannabis use; GWAS; Applied Statistics; Biostatistics; Categorical Data Analysis; Longitudinal Data Analysis and Time Series; Medical Genetics; Other Applied Mathematics; Other Public Health; Personality and Social Contexts; Psychiatric and Mental Health; Statistical Models; Substance Abuse and Addiction

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APA (6th Edition):

Gentry, A. E. (2018). Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/5575

Chicago Manual of Style (16th Edition):

Gentry, Amanda E. “Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families.” 2018. Doctoral Dissertation, Virginia Commonwealth University. Accessed June 16, 2019. https://scholarscompass.vcu.edu/etd/5575.

MLA Handbook (7th Edition):

Gentry, Amanda E. “Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families.” 2018. Web. 16 Jun 2019.

Vancouver:

Gentry AE. Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2018. [cited 2019 Jun 16]. Available from: https://scholarscompass.vcu.edu/etd/5575.

Council of Science Editors:

Gentry AE. Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families. [Doctoral Dissertation]. Virginia Commonwealth University; 2018. Available from: https://scholarscompass.vcu.edu/etd/5575

13. Tran, Bao Qui. Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs.

Degree: PhD, Biostatistics, 2017, University of Michigan

 Many diseases, especially cancer, are not static, but rather can be summarized by a series of events or stages (e.g. diagnosis, remission, recurrence, metastasis, death).… (more)

Subjects/Keywords: Disease natural history; Semiparametric regression; SMART designs; Survival analysis; Frailty model; Statistics and Numeric Data; Science

analysis using WRSE (right plot). . . . . . . . . . . . . . . . . . . . . . . . . 70… …20 2.3 SEER prostate cancer analysis: Time-to-metastasis-onset… …25 2.4 SEER prostate cancer analysis: Time-to-diagnosis… …25 2.5 SEER prostate cancer analysis: Time-to-death… …45 3.2 SEER breast cancer analysis… 

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APA (6th Edition):

Tran, B. Q. (2017). Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/136967

Chicago Manual of Style (16th Edition):

Tran, Bao Qui. “Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs.” 2017. Doctoral Dissertation, University of Michigan. Accessed June 16, 2019. http://hdl.handle.net/2027.42/136967.

MLA Handbook (7th Edition):

Tran, Bao Qui. “Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs.” 2017. Web. 16 Jun 2019.

Vancouver:

Tran BQ. Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2027.42/136967.

Council of Science Editors:

Tran BQ. Multi-Stage Statistical Models for Cancer in Observational Studies and SMARTs. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/136967

14. Rice, John D. Robust and Semiparametric Statistical Modeling for Cancer Research.

Degree: PhD, Biostatistics, 2015, University of Michigan

 In the application of biostatistical methodology to cancer studies, there is a desire to use methods with fewer or less restrictive assumptions, which often lead… (more)

Subjects/Keywords: Robust statistics; Semiparametric methods; Binary regression; Survival analysis; Semicontinuous data; Public Health; Statistics and Numeric Data; Health Sciences; Science

…misspecification. Analysis of a melanoma data set is presented to illustrate the use of the method in… …demonstrated in the analysis of a prostate cancer data set. In the third chapter, we apply… …methodology originally used in survival analysis to model semicontinuous data. Continuous outcome… …Chapter 1: Locally Weighted Score Estimation for Quantile Classification in Binary Regression… …regression models with the goal of increasing predictive accuracy at a given classification… 

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APA (6th Edition):

Rice, J. D. (2015). Robust and Semiparametric Statistical Modeling for Cancer Research. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/113285

Chicago Manual of Style (16th Edition):

Rice, John D. “Robust and Semiparametric Statistical Modeling for Cancer Research.” 2015. Doctoral Dissertation, University of Michigan. Accessed June 16, 2019. http://hdl.handle.net/2027.42/113285.

MLA Handbook (7th Edition):

Rice, John D. “Robust and Semiparametric Statistical Modeling for Cancer Research.” 2015. Web. 16 Jun 2019.

Vancouver:

Rice JD. Robust and Semiparametric Statistical Modeling for Cancer Research. [Internet] [Doctoral dissertation]. University of Michigan; 2015. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2027.42/113285.

Council of Science Editors:

Rice JD. Robust and Semiparametric Statistical Modeling for Cancer Research. [Doctoral Dissertation]. University of Michigan; 2015. Available from: http://hdl.handle.net/2027.42/113285

15. Hu, Chen. Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research.

Degree: PhD, Biostatistics, 2012, University of Michigan

 This dissertation is concerned with semiparametric joint models of disease natural history and its relationship with observed multiple events. A common disease progression process that… (more)

Subjects/Keywords: Survival Analysis; Disease Natural History; Cancer Research; Semiparametric Regression; Multiple Events; Missing Data; Public Health; Statistics and Numeric Data; Health Sciences; Science

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APA (6th Edition):

Hu, C. (2012). Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/93837

Chicago Manual of Style (16th Edition):

Hu, Chen. “Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research.” 2012. Doctoral Dissertation, University of Michigan. Accessed June 16, 2019. http://hdl.handle.net/2027.42/93837.

MLA Handbook (7th Edition):

Hu, Chen. “Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research.” 2012. Web. 16 Jun 2019.

Vancouver:

Hu C. Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Jun 16]. Available from: http://hdl.handle.net/2027.42/93837.

Council of Science Editors:

Hu C. Semiparametric Regression Models for Disease Natural History and Multiple Events in Cancer Research. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/93837

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