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National Cancer Institute U.S. National Institutes of Health www.cancer.gov
Biostatistics Branch. Developing statistical methods for epidemiology and collaborating on epidemiologic studies.
Research

Methods for Epidemiology Studies

Complex Surveys

  • Barry Graubard
    • Methods for the use of data from complex surveys in epidemiologic studies

Descriptive Epidemiology

  • William Anderson
    • Analysis of population-based molecular portraits for different cancer sites using the Tissue Discard Repositories of the Surveillance, Epidemiology, and End Results Program

Genetic Studies

  • Nilanjan Chatterjee
    • Survival analysis methods for analysis of data from kin-cohort study designs
    • Survival analysis methods for analysis of data from case-control family study designs
    • Methods for analysis of case-control studies of gene and environment
  • Mitchell Gail
    • Genetic association studies
    • Penetrance estimation from kin-cohort and other designs
  • Barry Graubard
    • Accuracy of family history data
  • Ruth Pfeiffer
    • Sample size calculations for association studies on marker genotypes
    • Robustness of inference on measured covariates to misspecification of genetic random effects in family studies
  • Kai Yu
    • Methods for candidate gene association studies
    • Methods for genome wide association studies
    • Methods for analyzing tetrad meiotic crossover patterns and their relationship with chromosomal non-disjunction
  • Sholom Wacholder
    • Kin-cohort design and analysis for estimating penetrance

Laboratory methods

  • William Anderson
    • Population-based molecular profiles of cancer from SEER tissue repository
  • Tom Fears
    • Assessment of assay reliability and calibration
  • Ruth Pfeiffer
    • Markov modeling to estimate risk of HHV8 infection associated with transfusion in cross-sectional data
    • Approaches to mutation detection based on functional data
    • DNA pooling and quantification
    • Mixture models for assays without a gold standard

Statistical design and analysis

  • Nilanjan Chatterjee
    • Design and analysis of two-phase epidemiologic studies
    • Two-stage regression model for epidemiologic studies of heterogeneous diseases
    • Multivariate survival analysis in presence of cure fraction
  • Mitchell Gail
    • Methods for observational studies and clinical trials
    • Methods for analysis of absolute risk
    • Program to project breast cancer risk
  • Barry Graubard
    • Assessments of behavioral interventions
    • Methods to measure disparities in access to health care
    • Inference on absolute and attributable risk from complex survey data
  • Jay Lubin
    • Modeling cancer risks from cigarette smoking
    • Effects of errors in variables on estimation of risk
    • Imputation for environmental measurement data with detection limits
    • POWER, a computer program to compute sample size and power for epidemiological studies
  • Ruth Pfeiffer
    • Design and analysis of longitudinal studies
    • Supplemental case-control design
    • Mixture models
  • Phil Rosenberg
    • Nonparametric regression and smoothing
    • Survival analysis
    • Multiple comparisons procedures
  • Sholom Wacholder
    • Design of epidemiologic studies, with emphasis on considerations for molecular epidemiology studies
  • Kai Yu
    • Data mining approaches for genetic epidemiology studies
    • Tree-based models for exposure assessment

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