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You searched for subject:(PheWAS). Showing records 1 – 11 of 11 total matches.

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Vanderbilt University

1. -3660-4570. Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data.

Degree: PhD, Biostatistics, 2020, Vanderbilt University

 When conducting analyses on high dimensional data, one could face statistical difficulties due to large dimensionality and the noisy nature of the data. In this… (more)

Subjects/Keywords: EMR; PheWAS; fMRI; Statistical analysis; study design; Type I error rate; Type II error rate; p-value; Multiple comparison; Second-generation p-values; SGPV; Interval null; Hypothesis testing

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APA (6th Edition):

-3660-4570. (2020). Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/15924

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-3660-4570. “Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data.” 2020. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/15924.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-3660-4570. “Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data.” 2020. Web. 11 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-3660-4570. Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data. [Internet] [Doctoral dissertation]. Vanderbilt University; 2020. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/15924.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-3660-4570. Coping With Complexities in High Dimensional Data: PheWAS in EMR and Statistical Inference in fMRI Data. [Doctoral Dissertation]. Vanderbilt University; 2020. Available from: http://hdl.handle.net/1803/15924

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Vanderbilt University

2. Bloodworth, Melissa Harintho. Regulation of Immune Responses during Airway Inflammation.

Degree: PhD, Microbiology and Immunology, 2017, Vanderbilt University

 Allergic asthma is refractory to corticosteroid treatment in up to 10% of patients and often leads to hospital admissions caused by respiratory viral and/ or… (more)

Subjects/Keywords: type 2 immunity (Th2); gamma-delta 17 (γδ17) cells; STAT6; Klebsiella pneumoniae; glucagon-like peptide 1 (GLP-1); respiratory syncytial virus (RSV); phenome-wide association study (PheWAS); regulatory T cells (Tregs); prostacyclin (PGI2)

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APA (6th Edition):

Bloodworth, M. H. (2017). Regulation of Immune Responses during Airway Inflammation. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11246

Chicago Manual of Style (16th Edition):

Bloodworth, Melissa Harintho. “Regulation of Immune Responses during Airway Inflammation.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11246.

MLA Handbook (7th Edition):

Bloodworth, Melissa Harintho. “Regulation of Immune Responses during Airway Inflammation.” 2017. Web. 11 Apr 2021.

Vancouver:

Bloodworth MH. Regulation of Immune Responses during Airway Inflammation. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11246.

Council of Science Editors:

Bloodworth MH. Regulation of Immune Responses during Airway Inflammation. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/11246

3. Chouchana, Laurent. Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches.

Degree: Docteur es, Pharmacologie, 2014, Université Paris Descartes – Paris V

Les thiopurines sont des médicaments cytotoxiques et immunosuppresseurs largement prescrits, notamment dans les maladies inflammatoires chroniques de l’intestin (MICI). Ils représentent l’un des meilleurs exemples… (more)

Subjects/Keywords: Thiopurines; Thiopurine S-méthyltransférase (TPMT); Optimisation thérapeutique; Résistance thérapeutique; Pharmacogénomique; PheWAS; Lignées cellulaires lymphoblastoïdes; Thiopurines; Thiopurine S-methyltransferase (TPMT); Drug optimization; Therapeutic resistance; Pharmacogenomics; PheWAS; Lymphoblastoid cell lines; 615.7

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APA (6th Edition):

Chouchana, L. (2014). Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches. (Doctoral Dissertation). Université Paris Descartes – Paris V. Retrieved from http://www.theses.fr/2014PA05P616

Chicago Manual of Style (16th Edition):

Chouchana, Laurent. “Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches.” 2014. Doctoral Dissertation, Université Paris Descartes – Paris V. Accessed April 11, 2021. http://www.theses.fr/2014PA05P616.

MLA Handbook (7th Edition):

Chouchana, Laurent. “Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches.” 2014. Web. 11 Apr 2021.

Vancouver:

Chouchana L. Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches. [Internet] [Doctoral dissertation]. Université Paris Descartes – Paris V; 2014. [cited 2021 Apr 11]. Available from: http://www.theses.fr/2014PA05P616.

Council of Science Editors:

Chouchana L. Optimisation de la réponse aux thiopurines par la pharmacogénétique : approches in vitro et cliniques : Thiopurine response optimization using pharmacogenomics : in vitro and clinical approaches. [Doctoral Dissertation]. Université Paris Descartes – Paris V; 2014. Available from: http://www.theses.fr/2014PA05P616


Vanderbilt University

4. Fish, Alexandra Elizabeth. Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans.

Degree: PhD, Human Genetics, 2017, Vanderbilt University

 Epistasis is a phenomenon wherein the effect of a genetic variant on a phenotype is dependent on the genomic context. Better understanding epistastic relationships between… (more)

Subjects/Keywords: epistasis; gene expression; admixed populations; eQTL; PheWAS

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

APA (6th Edition):

Fish, A. E. (2017). Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11250

Chicago Manual of Style (16th Edition):

Fish, Alexandra Elizabeth. “Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11250.

MLA Handbook (7th Edition):

Fish, Alexandra Elizabeth. “Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans.” 2017. Web. 11 Apr 2021.

Vancouver:

Fish AE. Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11250.

Council of Science Editors:

Fish AE. Leveraging gene expression and local ancestry to investigate regulatory epistasis in humans. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/11250


Penn State University

5. Hall, Molly Ann. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.

Degree: 2015, Penn State University

 Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with… (more)

Subjects/Keywords: gene-gene interactions; epistasis; PheWAS; phenome; EWAS; exposome; gene-environment interactions; complex traits

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APA (6th Edition):

Hall, M. A. (2015). Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26751

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):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Thesis, Penn State University. Accessed April 11, 2021. https://submit-etda.libraries.psu.edu/catalog/26751.

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

MLA Handbook (7th Edition):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Web. 11 Apr 2021.

Vancouver:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 11]. Available from: https://submit-etda.libraries.psu.edu/catalog/26751.

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

Council of Science Editors:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26751

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


Vanderbilt University

6. Levinson, Rebecca Terrall. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.

Degree: PhD, Human Genetics, 2016, Vanderbilt University

 While genetic association studies have been able to elucidate the importance of genetics in human disease outcomes, these studies are limited by the necessity of… (more)

Subjects/Keywords: PheWAS

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

APA (6th Edition):

Levinson, R. T. (2016). The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/14698

Chicago Manual of Style (16th Edition):

Levinson, Rebecca Terrall. “The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.” 2016. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/14698.

MLA Handbook (7th Edition):

Levinson, Rebecca Terrall. “The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record.” 2016. Web. 11 Apr 2021.

Vancouver:

Levinson RT. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. [Internet] [Doctoral dissertation]. Vanderbilt University; 2016. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/14698.

Council of Science Editors:

Levinson RT. The Phenotypic Consequences of Distinct Genetic Variation in an Electronic Medical Record. [Doctoral Dissertation]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/14698


Michigan Technological University

7. Li, Xueling. STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS.

Degree: PhD, Department of Mathematical Sciences, 2019, Michigan Technological University

  Genome-wide association studies (GWAS) have successfully detected tens of thousands of robust SNP-trait associations. Earlier researches have primarily focused on association studies of genetic… (more)

Subjects/Keywords: Statistical Methodology Development; UK Biobank; PheWAS; Joint Analysis of Multiple Phenotypes; Applied Statistics; Bioinformatics; Biostatistics; Health Information Technology; Respiratory Tract Diseases; Statistical Methodology; Statistics and Probability

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

APA (6th Edition):

Li, X. (2019). STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS. (Doctoral Dissertation). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etdr/813

Chicago Manual of Style (16th Edition):

Li, Xueling. “STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS.” 2019. Doctoral Dissertation, Michigan Technological University. Accessed April 11, 2021. https://digitalcommons.mtu.edu/etdr/813.

MLA Handbook (7th Edition):

Li, Xueling. “STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS.” 2019. Web. 11 Apr 2021.

Vancouver:

Li X. STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS. [Internet] [Doctoral dissertation]. Michigan Technological University; 2019. [cited 2021 Apr 11]. Available from: https://digitalcommons.mtu.edu/etdr/813.

Council of Science Editors:

Li X. STATISTICAL METHODS FOR JOINT ANALYSIS OF MULTIPLE PHENOTYPES AND THEIR APPLICATIONS FOR PHEWAS. [Doctoral Dissertation]. Michigan Technological University; 2019. Available from: https://digitalcommons.mtu.edu/etdr/813


Vanderbilt University

8. Osterman, Travis John. Extracting Detailed Tobacco Exposure From The Electronic Health Record.

Degree: MS, Biomedical Informatics, 2017, Vanderbilt University

 Lung cancer is the leading cause of cancer-related death in the United States and worldwide. Natural language processing (NLP) tools exist to determine smoking status… (more)

Subjects/Keywords: data extraction; lung cancer screening; phewas; gxe; smoking; natural language processing

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APA (6th Edition):

Osterman, T. J. (2017). Extracting Detailed Tobacco Exposure From The Electronic Health Record. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13004

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):

Osterman, Travis John. “Extracting Detailed Tobacco Exposure From The Electronic Health Record.” 2017. Thesis, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/13004.

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

MLA Handbook (7th Edition):

Osterman, Travis John. “Extracting Detailed Tobacco Exposure From The Electronic Health Record.” 2017. Web. 11 Apr 2021.

Vancouver:

Osterman TJ. Extracting Detailed Tobacco Exposure From The Electronic Health Record. [Internet] [Thesis]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/13004.

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

Council of Science Editors:

Osterman TJ. Extracting Detailed Tobacco Exposure From The Electronic Health Record. [Thesis]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/13004

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

9. Pandey, Ashutosh Kumar. Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes.

Degree: PhD, Biomedical Sciences, 2015, University of Tennessee Health Science Center

  Reverse genetics methods, particularly the production of gene knockouts and knockins, have revolutionized the understanding of gene function. High throughput sequencing now makes it… (more)

Subjects/Keywords: BXD; complex traits; DBA/2J; nextgeneration sequencing; PheWAS; reverse genetics; Genetic Phenomena; Genetic Processes; Medical Genetics; Medical Sciences; Medicine and Health Sciences

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APA (6th Edition):

Pandey, A. K. (2015). Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes. (Doctoral Dissertation). University of Tennessee Health Science Center. Retrieved from https://dc.uthsc.edu/dissertations/359

Chicago Manual of Style (16th Edition):

Pandey, Ashutosh Kumar. “Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes.” 2015. Doctoral Dissertation, University of Tennessee Health Science Center. Accessed April 11, 2021. https://dc.uthsc.edu/dissertations/359.

MLA Handbook (7th Edition):

Pandey, Ashutosh Kumar. “Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes.” 2015. Web. 11 Apr 2021.

Vancouver:

Pandey AK. Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes. [Internet] [Doctoral dissertation]. University of Tennessee Health Science Center; 2015. [cited 2021 Apr 11]. Available from: https://dc.uthsc.edu/dissertations/359.

Council of Science Editors:

Pandey AK. Functional Analysis of Genomic Variation and Impact on Molecular and Higher Order Phenotypes. [Doctoral Dissertation]. University of Tennessee Health Science Center; 2015. Available from: https://dc.uthsc.edu/dissertations/359


Vanderbilt University

10. Simonti, Corinne Nicole. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.

Degree: PhD, Human Genetics, 2017, Vanderbilt University

 The genomics era has seen a staggering increase in the number of whole genome sequences. This has bolstered studies of human populations, and revealed regions… (more)

Subjects/Keywords: PheWAS; Biobank; Neanderthal; Evolution

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APA (6th Edition):

Simonti, C. N. (2017). Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11256

Chicago Manual of Style (16th Edition):

Simonti, Corinne Nicole. “Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.” 2017. Doctoral Dissertation, Vanderbilt University. Accessed April 11, 2021. http://hdl.handle.net/1803/11256.

MLA Handbook (7th Edition):

Simonti, Corinne Nicole. “Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution.” 2017. Web. 11 Apr 2021.

Vancouver:

Simonti CN. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. [Internet] [Doctoral dissertation]. Vanderbilt University; 2017. [cited 2021 Apr 11]. Available from: http://hdl.handle.net/1803/11256.

Council of Science Editors:

Simonti CN. Leveraging Biobanks and PheWAS to Uncover the Health Consequences of Recent Human Evolution. [Doctoral Dissertation]. Vanderbilt University; 2017. Available from: http://hdl.handle.net/1803/11256


Penn State University

11. Verma, Anurag. PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA.

Degree: 2018, Penn State University

 In an emerging approach called precision medicine, the primary focus is to utilize an individual’s clinical data along with genetic, environmental, and lifestyle information to… (more)

Subjects/Keywords: PheWAS; EHR; GWAS; Genomics; Biobank

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APA (6th Edition):

Verma, A. (2018). PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15007auv13

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):

Verma, Anurag. “PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA.” 2018. Thesis, Penn State University. Accessed April 11, 2021. https://submit-etda.libraries.psu.edu/catalog/15007auv13.

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

MLA Handbook (7th Edition):

Verma, Anurag. “PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA.” 2018. Web. 11 Apr 2021.

Vancouver:

Verma A. PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA. [Internet] [Thesis]. Penn State University; 2018. [cited 2021 Apr 11]. Available from: https://submit-etda.libraries.psu.edu/catalog/15007auv13.

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

Council of Science Editors:

Verma A. PheWAS AND BEYOND: APPROACHES TO ADDRESS CHALLENGES FOR IDENTIFYING ROBUST ASSOCIATIONS USING CLINICAL DATA. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15007auv13

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

.