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Dept: Biostatistics ^{❌}

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University of Southern California

1. Ge, Tingting. Estimation of treatment effects in randomized clinical trials which involve non-trial departures.

Degree: PhD, Biostatistics, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/61494/rec/2503

► Motivated by a real clinical trial, we consider the problem of estimating the causal treatment effect of a two-arm randomized controlled trial in which some…
(more)

Subjects/Keywords: potential outcome; causal estimation

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

APA (6^{th} Edition):

Ge, T. (2010). Estimation of treatment effects in randomized clinical trials which involve non-trial departures. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/61494/rec/2503

Chicago Manual of Style (16^{th} Edition):

Ge, Tingting. “Estimation of treatment effects in randomized clinical trials which involve non-trial departures.” 2010. Doctoral Dissertation, University of Southern California. Accessed July 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/61494/rec/2503.

MLA Handbook (7^{th} Edition):

Ge, Tingting. “Estimation of treatment effects in randomized clinical trials which involve non-trial departures.” 2010. Web. 20 Jul 2019.

Vancouver:

Ge T. Estimation of treatment effects in randomized clinical trials which involve non-trial departures. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2019 Jul 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/61494/rec/2503.

Council of Science Editors:

Ge T. Estimation of treatment effects in randomized clinical trials which involve non-trial departures. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/61494/rec/2503

Virginia Commonwealth University

2. Sinks, Shuxian. Response Adaptive Design using Auxiliary and Primary Outcomes.

Degree: PhD, Biostatistics, 2013, Virginia Commonwealth University

URL: https://scholarscompass.vcu.edu/etd/572

► Response adaptive designs intend to allocate more patients to better treatments without undermining the validity and the integrity of the trial. The immediacy of the…
(more)

Subjects/Keywords: Response adaptive design; primary outcome; auxiliary outcome; rare event; delayed response; Biostatistics; Physical Sciences and Mathematics; Statistics and Probability

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

APA (6^{th} Edition):

Sinks, S. (2013). Response Adaptive Design using Auxiliary and Primary Outcomes. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/572

Chicago Manual of Style (16^{th} Edition):

Sinks, Shuxian. “Response Adaptive Design using Auxiliary and Primary Outcomes.” 2013. Doctoral Dissertation, Virginia Commonwealth University. Accessed July 20, 2019. https://scholarscompass.vcu.edu/etd/572.

MLA Handbook (7^{th} Edition):

Sinks, Shuxian. “Response Adaptive Design using Auxiliary and Primary Outcomes.” 2013. Web. 20 Jul 2019.

Vancouver:

Sinks S. Response Adaptive Design using Auxiliary and Primary Outcomes. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2013. [cited 2019 Jul 20]. Available from: https://scholarscompass.vcu.edu/etd/572.

Council of Science Editors:

Sinks S. Response Adaptive Design using Auxiliary and Primary Outcomes. [Doctoral Dissertation]. Virginia Commonwealth University; 2013. Available from: https://scholarscompass.vcu.edu/etd/572

University of Southern California

3.
Yang, Fan.
Utilizing auxiliary covariate data in epidemiologic studies
with binary *outcome* etd-YangFan-2235_Page_001.

Degree: PhD, Biostatistics, 2014, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361565/rec/7778

► In this dissertation we consider methods for using auxiliary information from a generalized “two-phase” design and analysis problem. A typical configuration of such studies involves…
(more)

Subjects/Keywords: auxiliary covariate; binary outcome; subsampling; case-control; estimation; study design

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APA (6^{th} Edition):

Yang, F. (2014). Utilizing auxiliary covariate data in epidemiologic studies with binary outcome etd-YangFan-2235_Page_001. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361565/rec/7778

Chicago Manual of Style (16^{th} Edition):

Yang, Fan. “Utilizing auxiliary covariate data in epidemiologic studies with binary outcome etd-YangFan-2235_Page_001.” 2014. Doctoral Dissertation, University of Southern California. Accessed July 20, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361565/rec/7778.

MLA Handbook (7^{th} Edition):

Yang, Fan. “Utilizing auxiliary covariate data in epidemiologic studies with binary outcome etd-YangFan-2235_Page_001.” 2014. Web. 20 Jul 2019.

Vancouver:

Yang F. Utilizing auxiliary covariate data in epidemiologic studies with binary outcome etd-YangFan-2235_Page_001. [Internet] [Doctoral dissertation]. University of Southern California; 2014. [cited 2019 Jul 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361565/rec/7778.

Council of Science Editors:

Yang F. Utilizing auxiliary covariate data in epidemiologic studies with binary outcome etd-YangFan-2235_Page_001. [Doctoral Dissertation]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/361565/rec/7778

University of Kansas

4. Garrard, Lili. CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT.

Degree: PhD, Biostatistics, 2016, University of Kansas

URL: http://hdl.handle.net/1808/22504

► Both patient-reported *outcome* measures (PROMs) and clinician-reported *outcome* (ClinRO) measures are recognized as essential tools for advocating patient-centered care, an important driving force behind the…
(more)

Subjects/Keywords: Biostatistics; Public health; Nursing; Bayesian leave-one-out cross-validation; Bayesian psychometrics; Clinician-reported outcome measures; Injury falls; OBID; Patient-reported outcome measures

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

APA (6^{th} Edition):

Garrard, L. (2016). CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT. (Doctoral Dissertation). University of Kansas. Retrieved from http://hdl.handle.net/1808/22504

Chicago Manual of Style (16^{th} Edition):

Garrard, Lili. “CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT.” 2016. Doctoral Dissertation, University of Kansas. Accessed July 20, 2019. http://hdl.handle.net/1808/22504.

MLA Handbook (7^{th} Edition):

Garrard, Lili. “CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT.” 2016. Web. 20 Jul 2019.

Vancouver:

Garrard L. CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT. [Internet] [Doctoral dissertation]. University of Kansas; 2016. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/1808/22504.

Council of Science Editors:

Garrard L. CLASSICAL AND BAYESIAN INSTRUMENT DEVELOPMENT. [Doctoral Dissertation]. University of Kansas; 2016. Available from: http://hdl.handle.net/1808/22504

Boston University

5.
Bliss, Caleb Andrew.
Sample size re-estimation for superiority clinical trials with a dichotomous *outcome* using an unblinded estimate of the control group *outcome* rate.

Degree: PhD, Biostatistics, 2014, Boston University

URL: http://hdl.handle.net/2144/14282

► Superiority clinical trials are often designed with a planned interim analysis for the purpose of sample size re-estimation (SSR) when limited information is available at…
(more)

Subjects/Keywords: Biostatistics; Adaptive design; Clinical trials; Dichotomous outcome; Sample size re-estimation; Superiority trials; Unblinded

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

APA (6^{th} Edition):

Bliss, C. A. (2014). Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14282

Chicago Manual of Style (16^{th} Edition):

Bliss, Caleb Andrew. “Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate.” 2014. Doctoral Dissertation, Boston University. Accessed July 20, 2019. http://hdl.handle.net/2144/14282.

MLA Handbook (7^{th} Edition):

Bliss, Caleb Andrew. “Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate.” 2014. Web. 20 Jul 2019.

Vancouver:

Bliss CA. Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate. [Internet] [Doctoral dissertation]. Boston University; 2014. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/2144/14282.

Council of Science Editors:

Bliss CA. Sample size re-estimation for superiority clinical trials with a dichotomous outcome using an unblinded estimate of the control group outcome rate. [Doctoral Dissertation]. Boston University; 2014. Available from: http://hdl.handle.net/2144/14282

Vanderbilt University

6. Mercaldo, Nathaniel David. Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies.

Degree: PhD, Biostatistics, 2017, Vanderbilt University

URL: http://etd.library.vanderbilt.edu/available/etd-09062017-100115/ ;

► Pre-existing cohort data (e.g., electronic health records) are being increasingly available, and the need for novel and efficient uses of these data is paramount due…
(more)

Subjects/Keywords: efficient study designs; outcome-dependent sampling; survey analysis; misclassification; electronic health records; R software

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APA (6^{th} Edition):

Mercaldo, N. D. (2017). Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-09062017-100115/ ;

Chicago Manual of Style (16^{th} Edition):

Mercaldo, Nathaniel David. “Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed July 20, 2019. http://etd.library.vanderbilt.edu/available/etd-09062017-100115/ ;.

MLA Handbook (7^{th} Edition):

Mercaldo, Nathaniel David. “Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies.” 2017. Web. 20 Jul 2019.

Vancouver:

Mercaldo ND. Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2019 Jul 20]. Available from: http://etd.library.vanderbilt.edu/available/etd-09062017-100115/ ;.

Council of Science Editors:

Mercaldo ND. Design and Analysis Considerations for Complex Longitudinal and Survey Sampling Studies. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://etd.library.vanderbilt.edu/available/etd-09062017-100115/ ;

Virginia Commonwealth University

7. Williams, Andre. Stereotype Logit Models for High Dimensional Data.

Degree: PhD, Biostatistics, 2010, Virginia Commonwealth University

URL: https://scholarscompass.vcu.edu/etd/147

► Gene expression studies are of growing importance in the field of medicine. In fact, subtypes within the same disease have been shown to have differing…
(more)

Subjects/Keywords: gene expression; ordinal outcome; Biostatistics; Physical Sciences and Mathematics; Statistics and Probability

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APA (6^{th} Edition):

Williams, A. (2010). Stereotype Logit Models for High Dimensional Data. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/147

Chicago Manual of Style (16^{th} Edition):

Williams, Andre. “Stereotype Logit Models for High Dimensional Data.” 2010. Doctoral Dissertation, Virginia Commonwealth University. Accessed July 20, 2019. https://scholarscompass.vcu.edu/etd/147.

MLA Handbook (7^{th} Edition):

Williams, Andre. “Stereotype Logit Models for High Dimensional Data.” 2010. Web. 20 Jul 2019.

Vancouver:

Williams A. Stereotype Logit Models for High Dimensional Data. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2010. [cited 2019 Jul 20]. Available from: https://scholarscompass.vcu.edu/etd/147.

Council of Science Editors:

Williams A. Stereotype Logit Models for High Dimensional Data. [Doctoral Dissertation]. Virginia Commonwealth University; 2010. Available from: https://scholarscompass.vcu.edu/etd/147

The Ohio State University

8. Bailey, Brittney E. Data analysis and multiple imputation for two-level nested designs.

Degree: PhD, Biostatistics, 2018, The Ohio State University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162

► This work examined methods to account for the clustering that occurs in nested clinical trial designs, which if ignored when analyzing or imputing data can…
(more)

Subjects/Keywords: Biostatistics; Statistics; biostatistics; nested data; cluster randomized trial; clinical trial; missing data; semiparametric; binary outcome; multilevel model; mixed effects; multiple imputation; predictive mean matching

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APA (6^{th} Edition):

Bailey, B. E. (2018). Data analysis and multiple imputation for two-level nested designs. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162

Chicago Manual of Style (16^{th} Edition):

Bailey, Brittney E. “Data analysis and multiple imputation for two-level nested designs.” 2018. Doctoral Dissertation, The Ohio State University. Accessed July 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162.

MLA Handbook (7^{th} Edition):

Bailey, Brittney E. “Data analysis and multiple imputation for two-level nested designs.” 2018. Web. 20 Jul 2019.

Vancouver:

Bailey BE. Data analysis and multiple imputation for two-level nested designs. [Internet] [Doctoral dissertation]. The Ohio State University; 2018. [cited 2019 Jul 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162.

Council of Science Editors:

Bailey BE. Data analysis and multiple imputation for two-level nested designs. [Doctoral Dissertation]. The Ohio State University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1531822703002162

9. Gao, Xin. Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings.

Degree: PhD, Biostatistics, 2012, University of Michigan

URL: http://hdl.handle.net/2027.42/96016

► Much research in the social and health sciences aims to understand the causal relationship between an intervention and an *outcome*, and a variety of statistical…
(more)

Subjects/Keywords: Causal Modeling; Noncompliance; Partial Compliance; Potential Outcome; Principal Stratification; Surrogacy; Public Health; Health Sciences

…Distribution of clinical *outcome* by treatment arm given treatment dose tolerance
for simulation… …and an *outcome*, and a
variety of statistical methods have been developed to answer these… …by the following three examples: 1) when
possibly *outcome*-dependent non-compliance… …inference to the above three topics under a
potential *outcome* framework with a principal… …stratification approach.
One fundamental concept in causal modeling is the potential *outcome*, which is…

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

APA (6^{th} Edition):

Gao, X. (2012). Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/96016

Chicago Manual of Style (16^{th} Edition):

Gao, Xin. “Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings.” 2012. Doctoral Dissertation, University of Michigan. Accessed July 20, 2019. http://hdl.handle.net/2027.42/96016.

MLA Handbook (7^{th} Edition):

Gao, Xin. “Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings.” 2012. Web. 20 Jul 2019.

Vancouver:

Gao X. Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/2027.42/96016.

Council of Science Editors:

Gao X. Causal Modeling with Principal Stratification to Assess Effects of Treatment with Partial Compliance, Noncompliance, and Principal Surrogacy in Longitudinal and Time-to-Event Settings. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/96016

10.
Jiang, Bei.
Bayesian Joint Modeling of Longitudinal Trajectories and Health *Outcome*: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments.

Degree: PhD, Biostatistics, 2014, University of Michigan

URL: http://hdl.handle.net/2027.42/107164

► This dissertation consists of methodology developments and applications for joint modeling of repeated measurements of health risk factors (i.e., longitudinal trajectories) and health *outcome* data.…
(more)

Subjects/Keywords: Bayesian Joint Modeling of Longitudinal and Health Outcome Data; Long-term Trends and Short-term Variability; Latent Class and Shared Random Effect; Functional Predictor; Outcome-informed Artifact; Independent Sample Validation; Statistics and Numeric Data; Science

…predictor in *outcome* submodel and AUC1 is obtained by using µ0i ( t)
with Jθ1 (t… …*outcome* submodel. . . . . . . . . . . . . . . . . . . . .
74
Individual trajectories that are… …functional predictor in primary *outcome* submodel… …37
2.2
(a) Mean Area under the ROC curves for the prediction of *outcome*
and… …a functional predictor in primary *outcome* submodel. .
70
Estimates of model parameters…

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

APA (6^{th} Edition):

Jiang, B. (2014). Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107164

Chicago Manual of Style (16^{th} Edition):

Jiang, Bei. “Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments.” 2014. Doctoral Dissertation, University of Michigan. Accessed July 20, 2019. http://hdl.handle.net/2027.42/107164.

MLA Handbook (7^{th} Edition):

Jiang, Bei. “Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments.” 2014. Web. 20 Jul 2019.

Vancouver:

Jiang B. Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/2027.42/107164.

Council of Science Editors:

Jiang B. Bayesian Joint Modeling of Longitudinal Trajectories and Health Outcome: A Broad Evaluation of Mean and Variation Features in Risk Profiles and Model Assessments. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107164

11.
Sun, Zhichao.
Dose-Finding Designs for Early-Phase Clinical Trials and *Outcome* Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction.

Degree: PhD, Biostatistics, 2016, University of Michigan

URL: http://hdl.handle.net/2027.42/133222

► In the first project, we extend the nonparametric biased coin design (BCD) for studying a single agent to a two-stage adaptive procedure that can be…
(more)

Subjects/Keywords: study design; early-phase clinical trials; outcome dependent sampling; gene-environment interaction; Statistics and Numeric Data; Science

…Early-Phase Clinical Trials and *Outcome* Dependent Sampling
for Longitudinal Studies of Gene… …propose
exposure enriched *outcome* trajectory dependent designs that can inform sample selection… …by leveraging individual exposure and *outcome* trajectory, and develop a full conditional… …enriched *outcome* trajectory dependent design enhances the
estimation efficiency and detection… …x29; interaction in that the association between an environmental exposure and an *outcome*…

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

APA (6^{th} Edition):

Sun, Z. (2016). Dose-Finding Designs for Early-Phase Clinical Trials and Outcome Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133222

Chicago Manual of Style (16^{th} Edition):

Sun, Zhichao. “Dose-Finding Designs for Early-Phase Clinical Trials and Outcome Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction.” 2016. Doctoral Dissertation, University of Michigan. Accessed July 20, 2019. http://hdl.handle.net/2027.42/133222.

MLA Handbook (7^{th} Edition):

Sun, Zhichao. “Dose-Finding Designs for Early-Phase Clinical Trials and Outcome Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction.” 2016. Web. 20 Jul 2019.

Vancouver:

Sun Z. Dose-Finding Designs for Early-Phase Clinical Trials and Outcome Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/2027.42/133222.

Council of Science Editors:

Sun Z. Dose-Finding Designs for Early-Phase Clinical Trials and Outcome Dependent Sampling for Longitudinal Studies of Gene-Environment Interaction. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133222

12.
Zhang, Hui.
Semiparametric Methods for Survival Data with Clustering, *Outcome*-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate.

Degree: PhD, Biostatistics, 2012, University of Michigan

URL: http://hdl.handle.net/2027.42/91398

► In this dissertation, we focus on the development of semiparametric methods for estimating proportional hazards models in the presence of non-standard data structures, namely clustering,…
(more)

Subjects/Keywords: Case-cohort Study; Clustered Data; Cox Model; Dependent Censoring; Outcome-dependent Sampling; Survival Analysis; Statistics and Numeric Data; Science

…special case of what is known as an *outcome*-dependent
sampling (ODS) design, wherein… …primary *outcome* of interest is CVD death, and the covariate of interest is day
of week (…

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

APA (6^{th} Edition):

Zhang, H. (2012). Semiparametric Methods for Survival Data with Clustering, Outcome-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91398

Chicago Manual of Style (16^{th} Edition):

Zhang, Hui. “Semiparametric Methods for Survival Data with Clustering, Outcome-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate.” 2012. Doctoral Dissertation, University of Michigan. Accessed July 20, 2019. http://hdl.handle.net/2027.42/91398.

MLA Handbook (7^{th} Edition):

Zhang, Hui. “Semiparametric Methods for Survival Data with Clustering, Outcome-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate.” 2012. Web. 20 Jul 2019.

Vancouver:

Zhang H. Semiparametric Methods for Survival Data with Clustering, Outcome-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2019 Jul 20]. Available from: http://hdl.handle.net/2027.42/91398.

Council of Science Editors:

Zhang H. Semiparametric Methods for Survival Data with Clustering, Outcome-Dependent Sampling, Dependent Censoring, and External Time-Dependent Covariate. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91398

13. 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

…the *outcome*
variable is subject to right censoring and the error distribution is unspecified…

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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 July 20, 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. 20 Jul 2019.

Vancouver:

Ding Y. Some New Insights about the Accelerated Failure Time Model. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2019 Jul 20]. 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