Affiliation: University of Washington
- Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) studyMegan D Fesinmeyer
Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis MN, USA
BMC Med Genet 14:98. 2013..In contrast, few studies have been conducted within minority groups, which carry the highest burden of impaired glucose homeostasis and type 2 diabetes in the U.S...
- Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology studyMegan D Fesinmeyer
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
BMC Med Genet 14:6. 2013..Although smoking behavior is known to affect body mass index (BMI), the potential for smoking to influence genetic associations with BMI is largely unexplored...
- Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology studyKira C Taylor
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
BMC Genet 14:33. 2013..Here, we investigated whether GWAS-identified SNPs for lipid traits exhibited heterogeneity by sex in the Population Architecture using Genomics and Epidemiology (PAGE) study...
- Measurement error and outcomes defined by exceeding a threshold: biased findings in comparative effectiveness trialsPetra Buzkova
Department of Biostatistics, University of Washington, Seattle, WA 98115, USA
Pharm Stat 11:429-41. 2012..Using simulations and theoretical formulas, we systematically describe the bias of prevalence difference and prevalence ratio when comparing arms and its effect on trial conclusions...
- Linear regression in genetic association studiesPetra Buzkova
Department of Biostatistics, University of Washington, Seattle, WA, USA
PLoS ONE 8:e56976. 2013..We conclude that it is a combination of heteroscedasticity, minor allele frequency, sample size, and to a much lesser extent the error distribution, that matter for proper statistical inference...
- Semiparametric modeling of repeated measurements under outcome-dependent follow-upPetra Buzkova
Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
Stat Med 28:987-1003. 2009..We illustrate our approach using data from a randomized health services research study with noncompliance to scheduled visits...
- Longitudinal data analysis for generalized linear models under participant-driven informative follow-up: an application in maternal health epidemiologyPetra Buzkova
Department of Biostatistics, School of Public Health, University of Washington, 6200 NE 74th Street, Seattle, WA 98115, USA
Am J Epidemiol 171:189-97. 2010..8%). The estimate obtained using the IIRR-weighted GEE approach was compatible with estimates derived using scheduled visits only. These results highlight the importance of properly accounting for informative follow-up in these studies...
- Permutation and parametric bootstrap tests for gene-gene and gene-environment interactionsPetra Buzkova
Department of Biostatistics, University of Washington, Seattle, USA
Ann Hum Genet 75:36-45. 2011..We consider interactions of an exposure with single and multiple polymorphisms. Finally, we address when permutation tests of interaction will be approximately valid in large samples for specific test statistics...