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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
    • Mitchell Gail
      • Use of risk factor data and ranking procedures to interpret cancer mortality maps

    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
      • Risk models that include genetic components
    • 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
      • Family Studies and familial aggregation
      • Methods for high dimensional data
    • 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
    • Mitchell Gail
      • Assessment of DNA yield and quality
    • Ruth Pfeiffer
      • Methods in infectious disease epidemiology
      • 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
      • Study design
      • 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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