Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for +publisher:"Baylor University" +contributor:("Tubbs, Jack Dale"). Showing records 1 – 7 of 7 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Baylor University

1. Buros, Amy. Semiparametric AUC regression for ordered treatment effects.

Degree: Statistical Sciences., 2014, Baylor University

 We investigated distribution free methods for testing covariate adjusted treatment effects when the researchers believe that these effects are ordered. Dodd and Pepe (2003) proposed… (more)

Subjects/Keywords: Jonckheere-Terpstra statistic.; Nonparametric statistics.; AUC regression.; Covariate adjusted treatment effects.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Buros, A. (2014). Semiparametric AUC regression for ordered treatment effects. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9145

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):

Buros, Amy. “Semiparametric AUC regression for ordered treatment effects. ” 2014. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/9145.

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

MLA Handbook (7th Edition):

Buros, Amy. “Semiparametric AUC regression for ordered treatment effects. ” 2014. Web. 17 Nov 2019.

Vancouver:

Buros A. Semiparametric AUC regression for ordered treatment effects. [Internet] [Thesis]. Baylor University; 2014. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/9145.

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

Council of Science Editors:

Buros A. Semiparametric AUC regression for ordered treatment effects. [Thesis]. Baylor University; 2014. Available from: http://hdl.handle.net/2104/9145

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


Baylor University

2. Young, Phil D. Topics in dimension reduction and missing data in statistical discrimination.

Degree: Statistical Sciences., 2010, Baylor University

 This dissertation is comprised of four chapters. In the first chapter, we define the concept of linear dimension reduction, review some popular linear dimension reduction… (more)

Subjects/Keywords: Dimension reduction.; Statistical discrimination.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Young, P. D. (2010). Topics in dimension reduction and missing data in statistical discrimination. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5543

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):

Young, Phil D. “Topics in dimension reduction and missing data in statistical discrimination. ” 2010. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/5543.

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

MLA Handbook (7th Edition):

Young, Phil D. “Topics in dimension reduction and missing data in statistical discrimination. ” 2010. Web. 17 Nov 2019.

Vancouver:

Young PD. Topics in dimension reduction and missing data in statistical discrimination. [Internet] [Thesis]. Baylor University; 2010. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/5543.

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

Council of Science Editors:

Young PD. Topics in dimension reduction and missing data in statistical discrimination. [Thesis]. Baylor University; 2010. Available from: http://hdl.handle.net/2104/5543

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


Baylor University

3. [No author]. Evaluating treatment efficacy using AUC modeling.

Degree: 2017, Baylor University

 We have proposed the use of the area under the receiver operating curve (AUC) to address two problems related to determining the efficacy of a… (more)

Subjects/Keywords: Nonparametric. AUC regression. ROC. Multiple comparisons. Minimum effective dose. MFPT. Clinical trials. Meta-analysis.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

author], [. (2017). Evaluating treatment efficacy using AUC modeling. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10080

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):

author], [No. “Evaluating treatment efficacy using AUC modeling. ” 2017. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/10080.

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

MLA Handbook (7th Edition):

author], [No. “Evaluating treatment efficacy using AUC modeling. ” 2017. Web. 17 Nov 2019.

Vancouver:

author] [. Evaluating treatment efficacy using AUC modeling. [Internet] [Thesis]. Baylor University; 2017. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/10080.

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

Council of Science Editors:

author] [. Evaluating treatment efficacy using AUC modeling. [Thesis]. Baylor University; 2017. Available from: http://hdl.handle.net/2104/10080

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


Baylor University

4. [No author]. Beta regression for modeling a covariate-adjusted ROC.

Degree: 2018, Baylor University

 The receiver operating characteristic (ROC) curve is a well-accepted measure of accuracy for diagnostic tests. In many applications, test performance is affected by covariates. As… (more)

Subjects/Keywords: ROC. ROC regression. Beta regression.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

author], [. (2018). Beta regression for modeling a covariate-adjusted ROC. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10377

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):

author], [No. “Beta regression for modeling a covariate-adjusted ROC. ” 2018. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/10377.

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

MLA Handbook (7th Edition):

author], [No. “Beta regression for modeling a covariate-adjusted ROC. ” 2018. Web. 17 Nov 2019.

Vancouver:

author] [. Beta regression for modeling a covariate-adjusted ROC. [Internet] [Thesis]. Baylor University; 2018. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/10377.

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

Council of Science Editors:

author] [. Beta regression for modeling a covariate-adjusted ROC. [Thesis]. Baylor University; 2018. Available from: http://hdl.handle.net/2104/10377

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


Baylor University

5. Doty, Tave Parker. Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification.

Degree: Statistical Sciences., 2011, Baylor University

 Bayesian methodology is implemented to investigate three problems in biostatistics. The first problem considers using biomarkers to select optimal treatments for individual patients. A Bayesian… (more)

Subjects/Keywords: Bayesian statistics.; Biomarkers.; Combination drugs.; Treatment selection.; Sample size.; Power.; Misclassification.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Doty, T. P. (2011). Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/8260

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):

Doty, Tave Parker. “Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification. ” 2011. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/8260.

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

MLA Handbook (7th Edition):

Doty, Tave Parker. “Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification. ” 2011. Web. 17 Nov 2019.

Vancouver:

Doty TP. Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification. [Internet] [Thesis]. Baylor University; 2011. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/8260.

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

Council of Science Editors:

Doty TP. Bayesian topics in biostatistics : treatment selection, sample size, power, and misclassification. [Thesis]. Baylor University; 2011. Available from: http://hdl.handle.net/2104/8260

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


Baylor University

6. Zhang, Lin, 1978-. Semiparametric AUC regression for testing treatment effect in clinical trial.

Degree: Statistical Sciences., 2008, Baylor University

 We investigated distribution free methods for testing covariate adjusted treatment effects. Dodd and Pepe (2003) proposed a semiparametric logistic regression model for the area under… (more)

Subjects/Keywords: Nonparametric statistics.; Medical statistics.; Regression analysis  – Testing.; Clinical trials  – Statistical methods.; Medicine  – Research  – Statistical methods.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, Lin, 1. (2008). Semiparametric AUC regression for testing treatment effect in clinical trial. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5237

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

Chicago Manual of Style (16th Edition):

Zhang, Lin, 1978-. “Semiparametric AUC regression for testing treatment effect in clinical trial. ” 2008. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/5237.

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

MLA Handbook (7th Edition):

Zhang, Lin, 1978-. “Semiparametric AUC regression for testing treatment effect in clinical trial. ” 2008. Web. 17 Nov 2019.

Vancouver:

Zhang, Lin 1. Semiparametric AUC regression for testing treatment effect in clinical trial. [Internet] [Thesis]. Baylor University; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/5237.

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

Council of Science Editors:

Zhang, Lin 1. Semiparametric AUC regression for testing treatment effect in clinical trial. [Thesis]. Baylor University; 2008. Available from: http://hdl.handle.net/2104/5237

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


Baylor University

7. Cuéllar Fuentes, Jesús. Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error.

Degree: Statistical Sciences., 2008, Baylor University

 Our objective in this work is to monitor a production process yielding output that is correlated and contaminated with autocorrelated measurement error. Often, the elimination… (more)

Subjects/Keywords: Process control  – Statistical methods.; Quality control  – Statistical methods.; Autocorrelation (Statistics)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Cuéllar Fuentes, J. (2008). Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/5185

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):

Cuéllar Fuentes, Jesús. “Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error. ” 2008. Thesis, Baylor University. Accessed November 17, 2019. http://hdl.handle.net/2104/5185.

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

MLA Handbook (7th Edition):

Cuéllar Fuentes, Jesús. “Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error. ” 2008. Web. 17 Nov 2019.

Vancouver:

Cuéllar Fuentes J. Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error. [Internet] [Thesis]. Baylor University; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/2104/5185.

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

Council of Science Editors:

Cuéllar Fuentes J. Statistical monitoring of a process with autocorrlated output and observable autocorrelated measurement error. [Thesis]. Baylor University; 2008. Available from: http://hdl.handle.net/2104/5185

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

.