Petra Buzkova

Summary

Affiliation: University of Washington
Country: USA

Publications

  1. pmc Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
    Megan D Fesinmeyer
    Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis MN, USA
    BMC Med Genet 14:98. 2013
  2. pmc Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study
    Megan D Fesinmeyer
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
    BMC Med Genet 14:6. 2013
  3. pmc Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study
    Kira C Taylor
    Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    BMC Genet 14:33. 2013
  4. ncbi request reprint Measurement error and outcomes defined by exceeding a threshold: biased findings in comparative effectiveness trials
    Petra Buzkova
    Department of Biostatistics, University of Washington, Seattle, WA 98115, USA
    Pharm Stat 11:429-41. 2012
  5. pmc Linear regression in genetic association studies
    Petra Buzkova
    Department of Biostatistics, University of Washington, Seattle, WA, USA
    PLoS ONE 8:e56976. 2013
  6. ncbi request reprint Semiparametric modeling of repeated measurements under outcome-dependent follow-up
    Petra Buzkova
    Department of Biostatistics, University of Washington, Seattle, WA 98195, USA
    Stat Med 28:987-1003. 2009
  7. pmc Longitudinal data analysis for generalized linear models under participant-driven informative follow-up: an application in maternal health epidemiology
    Petra 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. pmc Permutation and parametric bootstrap tests for gene-gene and gene-environment interactions
    Petra Buzkova
    Department of Biostatistics, University of Washington, Seattle, USA
    Ann Hum Genet 75:36-45. 2011

Collaborators

  • Elizabeth R Brown
  • Megan D Fesinmeyer
  • Dana C Crawford
  • Nora Franceschini
  • Kari E North
  • Lynne R Wilkens
  • Loic Le Marchand
  • Kira C Taylor
  • Jeffrey Haessler
  • Robert Goodloe
  • Ulrike Peters
  • Christopher A Haiman
  • Steven Buyske
  • Brian E Henderson
  • Kristine R Monroe
  • Lucia A Hindorff
  • José Luis Ambite
  • JoAnn E Manson
  • Christopher Haiman
  • Fredrick R Schumacher
  • Chris S Carlson
  • Ross L Prentice
  • Nathalie Schnetz-Boutaud
  • Lawrence N Kolonel
  • Marylyn D Ritchie
  • Shelley A Cole
  • Christopher S Carlson
  • Unhee Lim
  • Fred R Schumacher
  • Lewis H Kuller
  • Melissa Allen
  • Shelley Ann Love
  • Jay H Fowke
  • Rebecca R Rohde
  • Rebecca Jackson
  • Venkata Saroja Voruganti
  • Jeff Haessler
  • Kenneth Mukamal
  • Lucia Hindorff
  • Iona Cheng
  • Logan Dumitrescu
  • Garnet Anderson
  • Jose C Florez
  • Kylee L Spencer
  • Holli H Dilks
  • James S Pankow
  • Myriam Fornage
  • James Pankow
  • Charles B Eaton
  • Sarah A Pendergrass
  • Misa Graff
  • Peggy Wan
  • Barbara Cochran
  • Andrew Nato
  • Ralph V Shohet
  • Laurence N Kolonel
  • Cara L Carty
  • Kristin Brown-Gentry
  • Charles Kooperberg
  • Tara C Matise
  • James B Meigs
  • Karen C Johnson
  • Ching Ping Hong
  • P Miguel Quibrera
  • Barbara V Howard
  • David J Duggan
  • Myron D Gross
  • Ping Mayo
  • Simin Liu

Detail Information

Publications8

  1. pmc Genetic variants associated with fasting glucose and insulin concentrations in an ethnically diverse population: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
    Megan 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...
  2. pmc Effects of smoking on the genetic risk of obesity: the population architecture using genomics and epidemiology study
    Megan 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...
  3. pmc Investigation of gene-by-sex interactions for lipid traits in diverse populations from the population architecture using genomics and epidemiology study
    Kira 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...
  4. ncbi request reprint Measurement error and outcomes defined by exceeding a threshold: biased findings in comparative effectiveness trials
    Petra 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...
  5. pmc Linear regression in genetic association studies
    Petra 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...
  6. ncbi request reprint Semiparametric modeling of repeated measurements under outcome-dependent follow-up
    Petra 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...
  7. pmc Longitudinal data analysis for generalized linear models under participant-driven informative follow-up: an application in maternal health epidemiology
    Petra 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...
  8. pmc Permutation and parametric bootstrap tests for gene-gene and gene-environment interactions
    Petra 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...