Nathan L. Tintle, Ph.D.
Affiliations: | 2004 | Stony Brook University, Stony Brook, NY, United States |
Area:
Statistics, Biostatistics BiologyGoogle:
"Nathan Tintle"Parents
Sign in to add mentor| Stephen J. Finch | grad student | 2004 | SUNY Stony Brook | |
| (Reclassification as a cost effective sample design for estimating and testing association when misclassification errors are present.) | ||||
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Publications
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| Zigarelli AM, Venera HM, Receveur BA, et al. (2023) Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks. Annals of Human Genetics |
| Lai H, Imamura F, Korat AA, et al. (2019) OP36 Trans fatty acid biomarkers and incident type 2 diabetes: pooled analysis of 10 prospective cohort studies in the fatty acids and outcomes research consortium (FORCE) Journal of Epidemiology and Community Health. 73 |
| Veenstra J, Kalsbeek A, Koster K, et al. (2018) Epigenome wide association study of SNP-CpG interactions on changes in triglyceride levels after pharmaceutical intervention: a GAW20 analysis. Bmc Proceedings. 12: 58 |
| Vander Woude J, Huisman J, Vander Berg L, et al. (2018) Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20. Bmc Proceedings. 12: 50 |
| Tintle NL, Fardo DW, de Andrade M, et al. (2018) GAW20: methods and strategies for the new frontiers of epigenetics and pharmacogenomics. Bmc Proceedings. 12: 26 |
| Fuady AM, Lent S, Sarnowski C, et al. (2018) Application of novel and existing methods to identify genes with evidence of epigenetic association: results from GAW20. Bmc Genetics. 19: 72 |
| Meyerholz DK, Tintle NL, Beck AP. (2018) Common Pitfalls in Analysis of Tissue Scores. Veterinary Pathology. 300985818794250 |
| Kalsbeek A, Veenstra J, Westra J, et al. (2018) A genome-wide association study of red-blood cell fatty acids and ratios incorporating dietary covariates: Framingham Heart Study Offspring Cohort. Plos One. 13: e0194882 |
| Grinde KE, Arbet J, Green A, et al. (2017) Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association. Frontiers in Genetics. 8: 117 |
| Veenstra J, Kalsbeek A, Westra J, et al. (2017) Genome-Wide Interaction Study of Omega-3 PUFAs and Other Fatty Acids on Inflammatory Biomarkers of Cardiovascular Health in the Framingham Heart Study. Nutrients. 9 |