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You searched for +publisher:"Vanderbilt University" +contributor:("Bryan Shepherd"). Showing records 1 – 8 of 8 total matches.

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Vanderbilt University

1. Fu, Lingjun. Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record.

Degree: MS, Biostatistics, 2017, Vanderbilt University

 In this thesis, we apply and adapt a new method to assess conditional associations in a large dataset from the Vanderbilt University Medical Center Electronic… (more)

Subjects/Keywords: Big Data; Adjusted Rank Correlation; Electronic Health Record

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

APA (6th Edition):

Fu, L. (2017). Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12927

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):

Fu, Lingjun. “Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record.” 2017. Thesis, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12927.

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

MLA Handbook (7th Edition):

Fu, Lingjun. “Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record.” 2017. Web. 08 Mar 2021.

Vancouver:

Fu L. Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record. [Internet] [Thesis]. Vanderbilt University; 2017. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12927.

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

Council of Science Editors:

Fu L. Conditional Associations with Big Data: Estimating Adjusted Rank Correlations in the Electronic Health Record. [Thesis]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/12927

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


Vanderbilt University

2. Wanga, Valentine Adhiambo. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.

Degree: MS, Biostatistics, 2014, Vanderbilt University

 The discovery of genes linked with a large array of diseases has been accelerated by genome-wide association studies (GWAS), in which genetic variants in different… (more)

Subjects/Keywords: categorical.; additive; recessive; tenofovir; HIV; pharmacokinetics; creatinine clearance; CoCoBOT; dominant

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APA (6th Edition):

Wanga, V. A. (2014). Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12859

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):

Wanga, Valentine Adhiambo. “Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.” 2014. Thesis, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12859.

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

MLA Handbook (7th Edition):

Wanga, Valentine Adhiambo. “Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.” 2014. Web. 08 Mar 2021.

Vancouver:

Wanga VA. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. [Internet] [Thesis]. Vanderbilt University; 2014. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12859.

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

Council of Science Editors:

Wanga VA. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. [Thesis]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/12859

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


Vanderbilt University

3. Chen, Heng. Essays on Wavelet Estimation of the Local Average Treatment Effect.

Degree: PhD, Economics, 2012, Vanderbilt University

 The first chapter of my dissertation makes two main contributions to the econometrics literature on program evaluation. First, we show that under very mild conditions,… (more)

Subjects/Keywords: local polynomial; kink size; jump size; wavelet; local medians transformation

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APA (6th Edition):

Chen, H. (2012). Essays on Wavelet Estimation of the Local Average Treatment Effect. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12442

Chicago Manual of Style (16th Edition):

Chen, Heng. “Essays on Wavelet Estimation of the Local Average Treatment Effect.” 2012. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12442.

MLA Handbook (7th Edition):

Chen, Heng. “Essays on Wavelet Estimation of the Local Average Treatment Effect.” 2012. Web. 08 Mar 2021.

Vancouver:

Chen H. Essays on Wavelet Estimation of the Local Average Treatment Effect. [Internet] [Doctoral dissertation]. Vanderbilt University; 2012. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12442.

Council of Science Editors:

Chen H. Essays on Wavelet Estimation of the Local Average Treatment Effect. [Doctoral Dissertation]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/12442


Vanderbilt University

4. Huo, Xi. A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions.

Degree: PhD, Mathematics, 2014, Vanderbilt University

 The work in this dissertation is about modeling the spread of an infectious disease in a closed community with two basic public health interventions: (i)… (more)

Subjects/Keywords: partial differential equations; mathematical biology; epidemic disease; public health control; quarantine; contact tracing

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APA (6th Edition):

Huo, X. (2014). A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12673

Chicago Manual of Style (16th Edition):

Huo, Xi. “A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12673.

MLA Handbook (7th Edition):

Huo, Xi. “A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions.” 2014. Web. 08 Mar 2021.

Vancouver:

Huo X. A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12673.

Council of Science Editors:

Huo X. A Disease Age Structured Model of Epidemic Population Dynamics with Public Health Interventions. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/12673


Vanderbilt University

5. Giganti, Mark Joseph. Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models.

Degree: PhD, Biostatistics, 2018, Vanderbilt University

 Observational data from electronic health records (EHRs) are prone to errors which are often correlated across multiple variables. One strategy to assess EHR data quality… (more)

Subjects/Keywords: electronic health records; missing data; time-to-event outcomes; measurement error; variance estimation

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

APA (6th Edition):

Giganti, M. J. (2018). Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13990

Chicago Manual of Style (16th Edition):

Giganti, Mark Joseph. “Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models.” 2018. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/13990.

MLA Handbook (7th Edition):

Giganti, Mark Joseph. “Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models.” 2018. Web. 08 Mar 2021.

Vancouver:

Giganti MJ. Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models. [Internet] [Doctoral dissertation]. Vanderbilt University; 2018. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/13990.

Council of Science Editors:

Giganti MJ. Statistical Methods for the Analysis of Error-Prone Electronic Health Records: Impact of Source Data Verification, Time Discretized Multiple Imputation, and Variance Estimation with Incompatible Imputation and Analysis Models. [Doctoral Dissertation]. Vanderbilt University; 2018. Available from: http://hdl.handle.net/1803/13990


Vanderbilt University

6. Kasongo, Webster. Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011.

Degree: PhD, Epidemiology, 2013, Vanderbilt University

 Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011 Webster Kasongo Dissertation under the direction of Professor Sten H.… (more)

Subjects/Keywords: ANC; HIV; trends; Age-period-cohort

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

APA (6th Edition):

Kasongo, W. (2013). Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13829

Chicago Manual of Style (16th Edition):

Kasongo, Webster. “Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/13829.

MLA Handbook (7th Edition):

Kasongo, Webster. “Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011.” 2013. Web. 08 Mar 2021.

Vancouver:

Kasongo W. Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/13829.

Council of Science Editors:

Kasongo W. Age-Period-Cohort and Educational Attainment Effects on HIV Prevalence in Zambian Pregnant Women, 1994 through 2011. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/13829


Vanderbilt University

7. Park, Sang Soo. Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects.

Degree: PhD, Economics, 2008, Vanderbilt University

 My dissertation focuses on partial identification of the distribution function of treatment effects. When treatment effects are believed to be heterogeneous, policy evaluation often requires… (more)

Subjects/Keywords: heterogeneous treatment effects; partially identified parameters; Inference

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APA (6th Edition):

Park, S. S. (2008). Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12509

Chicago Manual of Style (16th Edition):

Park, Sang Soo. “Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects.” 2008. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12509.

MLA Handbook (7th Edition):

Park, Sang Soo. “Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects.” 2008. Web. 08 Mar 2021.

Vancouver:

Park SS. Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects. [Internet] [Doctoral dissertation]. Vanderbilt University; 2008. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12509.

Council of Science Editors:

Park SS. Inference on partially identified parameters: with applications to the evaluation of heterogeneous treatment effects. [Doctoral Dissertation]. Vanderbilt University; 2008. Available from: http://hdl.handle.net/1803/12509


Vanderbilt University

8. Wu, Jisong. Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application.

Degree: PhD, Economics, 2009, Vanderbilt University

 This dissertation studies the distributions of treatment effects in switching regimes models (SRMs). First, we propose a general class of SRMs and provide simple estimators… (more)

Subjects/Keywords: switching regimes models; treatment effects

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

APA (6th Edition):

Wu, J. (2009). Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12669

Chicago Manual of Style (16th Edition):

Wu, Jisong. “Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application.” 2009. Doctoral Dissertation, Vanderbilt University. Accessed March 08, 2021. http://hdl.handle.net/1803/12669.

MLA Handbook (7th Edition):

Wu, Jisong. “Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application.” 2009. Web. 08 Mar 2021.

Vancouver:

Wu J. Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application. [Internet] [Doctoral dissertation]. Vanderbilt University; 2009. [cited 2021 Mar 08]. Available from: http://hdl.handle.net/1803/12669.

Council of Science Editors:

Wu J. Distributions of Treatment Effects in Switching Regimes Models: Partial Identification, Confidence Sets, and an Application. [Doctoral Dissertation]. Vanderbilt University; 2009. Available from: http://hdl.handle.net/1803/12669

.