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You searched for +publisher:"Vanderbilt University" +contributor:("Tricia A. Thornton-Wells"). Showing records 1 – 6 of 6 total matches.

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Vanderbilt University

1. Cummings, Anna Christine. Power and type 1 error for large pedigree analyses of binary traits.

Degree: MS, Interdisciplinary Studies: Applied Statistics, 2012, Vanderbilt University

 Studying population isolates with large, complex pedigrees has many advantages for discovering genetic susceptibility loci; however, statistical analyses can be computationally challenging. Allelic association tests… (more)

Subjects/Keywords: association; linkage; simulations; power; type 1 error; pedigrees

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

APA (6th Edition):

Cummings, A. C. (2012). Power and type 1 error for large pedigree analyses of binary traits. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14871

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):

Cummings, Anna Christine. “Power and type 1 error for large pedigree analyses of binary traits.” 2012. Thesis, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/14871.

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

MLA Handbook (7th Edition):

Cummings, Anna Christine. “Power and type 1 error for large pedigree analyses of binary traits.” 2012. Web. 28 Feb 2021.

Vancouver:

Cummings AC. Power and type 1 error for large pedigree analyses of binary traits. [Internet] [Thesis]. Vanderbilt University; 2012. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/14871.

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

Council of Science Editors:

Cummings AC. Power and type 1 error for large pedigree analyses of binary traits. [Thesis]. Vanderbilt University; 2012. Available from: http://hdl.handle.net/1803/14871

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


Vanderbilt University

2. Sivley, Robert Michael. Clustering Rare Event Features to Increase Statistical Power.

Degree: MS, Computer Science, 2013, Vanderbilt University

 Rare genetic variation has been put forward as a major contributor to the development of disease; however, it is inherently difficult to associate rare variants… (more)

Subjects/Keywords: power; statistics; rvclust; clustering; rare event; rare variant

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

APA (6th Edition):

Sivley, R. M. (2013). Clustering Rare Event Features to Increase Statistical Power. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12064

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):

Sivley, Robert Michael. “Clustering Rare Event Features to Increase Statistical Power.” 2013. Thesis, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/12064.

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

MLA Handbook (7th Edition):

Sivley, Robert Michael. “Clustering Rare Event Features to Increase Statistical Power.” 2013. Web. 28 Feb 2021.

Vancouver:

Sivley RM. Clustering Rare Event Features to Increase Statistical Power. [Internet] [Thesis]. Vanderbilt University; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/12064.

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

Council of Science Editors:

Sivley RM. Clustering Rare Event Features to Increase Statistical Power. [Thesis]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/12064

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


Vanderbilt University

3. Veatch, Olivia Jean. Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT.

Degree: PhD, Human Genetics, 2013, Vanderbilt University

 Autism Spectrum Disorder is a neurodevelopmental condition with evidence for genetic susceptibility. However, effect sizes for implicated loci are small, and current evidence does not… (more)

Subjects/Keywords: Autism Spectrum Disorder; Human Genetics; Multivariate Statistics; Pharmacogenetics; Phenotyping; Ne

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

APA (6th Edition):

Veatch, O. J. (2013). Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15041

Chicago Manual of Style (16th Edition):

Veatch, Olivia Jean. “Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/15041.

MLA Handbook (7th Edition):

Veatch, Olivia Jean. “Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT.” 2013. Web. 28 Feb 2021.

Vancouver:

Veatch OJ. Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/15041.

Council of Science Editors:

Veatch OJ. Identifying biological pathways implicated in defined subgroups of phenotypic expression for Autism Spectrum Disorders and evaluating small molecule effects on expression of ASMT. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/15041


Vanderbilt University

4. Oetjens, Matthew Thomas. Pharmacogenetic Discovery in an EMR-Biorepository.

Degree: PhD, Human Genetics, 2014, Vanderbilt University

 Adverse drug reactions (ADRs) can be highly influenced by genetic variation. For example, immunosuppressants prescribed to patients who have undergone organ transplantation have severe nephrotoxic… (more)

Subjects/Keywords: Pharmacogenetics; SNP; genetics; genomics; BioVU

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

APA (6th Edition):

Oetjens, M. T. (2014). Pharmacogenetic Discovery in an EMR-Biorepository. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11314

Chicago Manual of Style (16th Edition):

Oetjens, Matthew Thomas. “Pharmacogenetic Discovery in an EMR-Biorepository.” 2014. Doctoral Dissertation, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/11314.

MLA Handbook (7th Edition):

Oetjens, Matthew Thomas. “Pharmacogenetic Discovery in an EMR-Biorepository.” 2014. Web. 28 Feb 2021.

Vancouver:

Oetjens MT. Pharmacogenetic Discovery in an EMR-Biorepository. [Internet] [Doctoral dissertation]. Vanderbilt University; 2014. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/11314.

Council of Science Editors:

Oetjens MT. Pharmacogenetic Discovery in an EMR-Biorepository. [Doctoral Dissertation]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/11314


Vanderbilt University

5. Hoffman, Joshua David. Modeling Macular Degeneration Using Quantitative Phenotypes.

Degree: PhD, Human Genetics, 2015, Vanderbilt University

 Age-related macular degeneration (AMD) is one of the most common causes of visual impairment in the United States (US). Although a multitude of studies have… (more)

Subjects/Keywords: AMD; genetics; Age-Related Macular Degeneration; genomics; assocation analysis; linkage analysis

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

APA (6th Edition):

Hoffman, J. D. (2015). Modeling Macular Degeneration Using Quantitative Phenotypes. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/10680

Chicago Manual of Style (16th Edition):

Hoffman, Joshua David. “Modeling Macular Degeneration Using Quantitative Phenotypes.” 2015. Doctoral Dissertation, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/10680.

MLA Handbook (7th Edition):

Hoffman, Joshua David. “Modeling Macular Degeneration Using Quantitative Phenotypes.” 2015. Web. 28 Feb 2021.

Vancouver:

Hoffman JD. Modeling Macular Degeneration Using Quantitative Phenotypes. [Internet] [Doctoral dissertation]. Vanderbilt University; 2015. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/10680.

Council of Science Editors:

Hoffman JD. Modeling Macular Degeneration Using Quantitative Phenotypes. [Doctoral Dissertation]. Vanderbilt University; 2015. Available from: http://hdl.handle.net/1803/10680


Vanderbilt University

6. Pryweller, Jennifer Raechelle. A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model.

Degree: PhD, Interdisciplinary Studies: Human Genetics, 2013, Vanderbilt University

 Williams syndrome (WS) is a rare, neurodevelopmental disorder caused by the deletion of 26 genes on chromosome 7q11.23. WS has a well-defined auditory phenotype, characterized… (more)

Subjects/Keywords: Williams sydrome; fMRI; DTI; neuroimaging; functional connectivity; sensory modulation; auditory processing

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

APA (6th Edition):

Pryweller, J. R. (2013). A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14984

Chicago Manual of Style (16th Edition):

Pryweller, Jennifer Raechelle. “A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model.” 2013. Doctoral Dissertation, Vanderbilt University. Accessed February 28, 2021. http://hdl.handle.net/1803/14984.

MLA Handbook (7th Edition):

Pryweller, Jennifer Raechelle. “A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model.” 2013. Web. 28 Feb 2021.

Vancouver:

Pryweller JR. A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model. [Internet] [Doctoral dissertation]. Vanderbilt University; 2013. [cited 2021 Feb 28]. Available from: http://hdl.handle.net/1803/14984.

Council of Science Editors:

Pryweller JR. A Neural Basis for Atypical Auditory Processing: A Williams Syndrome Model. [Doctoral Dissertation]. Vanderbilt University; 2013. Available from: http://hdl.handle.net/1803/14984

.