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Biometry Research Group

About the Research Group

Mission

Plans and conducts independent and cooperative research studies on cancer epidemiology, prevention, screening, and diagnosis using methods of mathematical and analytic statistics.
Plans and conducts independent and collaborative studies in biostatistical and epidemiologic methodology and in mathematical modeling of processes relevant to cancer prevention activities.
Provides consultation and advice on biostatistical methodology and study design to staff of the Division and investigators in other Divisions of NCI and outside.
Provides expertise in statistics and biometry to program managers and scientific decision-makers within the NCI and outside.

Staff

Name/Email	Room/Phone
Stuart Baker, ScD sb16i@nih.gov	EPN 3118 301-496-7708
Vance Berger, PhD vb78c@nih.gov	EPN 3115 301-435-5303
Donald Corle, MS dc13a@nih.gov	EPN 3114 301-496-7456
Kevin Dodd, PhD kd103h@nih.gov	EPN 3129 301-496-7461
Paul Doria-Rose, DVM, PhD pd164r@nih.gov	EPN 3113 301-496-8574
Letoyah Edwards edwardslm@mail.nih.gov	EPN 2008 301-435-5337
Richard Fagerstrom, PhD rf29s@nih.gov	EPN 3126 301-496-7458
Jennifer Gaegler jg69p@nih.gov	EPN 3130 301-496-7474
Ping Hu, ScD ph107y@nih.gov	EPN 3127 301-496-8553
Grant Izmirlian, PhD gi6o@nih.gov	EPN 3122 301-496-7519
Victor Kipnis, PhD vk3b@nih.gov	EPN 3124 301-496-7464
Adeyinka Laiyemo, MBBS, MPH al369o@nih.gov	EPN 3121 301-496-8550
Pamela Marcus, MS, PhD pm145q@nih.gov	EPN 3128 301-496-7468
Doug Midthune, MS dm76q@nih.gov	EPN 3119 301-496-7463
Lawrence Morris lm456r@nih.gov	EPN 3131 301-496-9777
Blossom Patterson, MA, PhD bp27z@nih.gov	EPN 3116 301-496-7477
Philip Prorok, PhD pp2g@nih.gov	EPN 3132 301-496-7709
David Ransohoff, MD ransohof@med.unc.edu	EPN 3070 301-496-3995
Simon Rosenfeld, PhD sr212a@nih.gov	EPN 3108 301-496-7748
Marina Shumakovich shumakovichm@mail.nih.gov	EPN 3125b 301-435-6715
Jian-Lun Xu, PhD jx2b@nih.gov	EPN 3120 301-496-7475
Mark Zweig, MD mz72s@nih.gov	EPN 3125a 301-435-6714

Phone Number: (301) 496-8556
Fax Number: (301) 402-0816

US Mail Address:

Biometry Research Group, DCP
National Cancer Institute
Executive Plaza North, Room 3131
6130 Executive Blvd., MSC 7354
Bethesda, MD 20892-7354

Commercial Delivery Address:

Biometry Research Group, DCP
National Cancer Institute
6130 Executive Blvd., Room 3131
Rockville, MD 20852

Research Interests

Name	Research Interests
Stuart G. Baker, ScD	Statistics Evaluating biomarkers for the early detection of cancer Evaluating risk prediction Designing and analyzing microarray experiments The paired availability design for historical controls Analyzing randomized trials with noncompliance Evaluating screening for the early detection of cancer Validating surrogate endpoints Analyzing twin studies Biology Paradoxes in carcinogenesis The disruption of morphostats as a proximal cause of cancer
Vance Berger, PhD	Design and analysis of randomized clinical trials to ensure internal validity Developing more powerful between-group tests in randomized clinical trials Selection bias in randomized clinical trials (Detection, Prevention, Correction)
Donald K. Corle, MS	Statistical methods in prevention trials Methods for interactive statistical data analysis Sample size and power calculations for experimental designs
Kevin Dodd, PhD	Statistical methods in nutritional epidemiology and surveillance Analysis of clinical trials Measurement error modeling Effect of misclassifications on regression modeling Variance estimation in complex surveys Monte Carlo simulation Nonlinear mixed models
V. Paul Doria-Rosé, DVM, PhD	Cancer screening Epidemiologic methods to evaluate screening efficacy and interval
Richard Fagerstrom, PhD	Cancer screening Evolutionary dynamics of cancer Genome-wide association studies Cellular information processing Rule-based modeling Artificial life
Ping Hu, ScD	Early detection of disease, cancer screening Survival analysis, nonparametric and semiparametric methods Cancer biomarkers Design and analysis of clinical trials
Grant Izmirlian, PhD	Biostatistical methodology Design and analysis of sequential prevention trials Statistical methods in the planning, analysis and interpretation of cancer screening trials
Victor Kipnis, PhD	Biostatistical methodology Covariate measurement error and covariate misclassification in regression analysis Statistical methods in nutritional epidemiology and surveillance Energy balance and cancer Biomarkers for diet and physical activity Use and validation of surrogate endpoints Statistical inference in model selection and model misspecification
Adeyinka Laiyemo, MD, MPH	Colorectal cancer epidemiology Pancreatic cancer epidemiology Surveillance and screening
Pamela Marcus, MS, PhD	Cancer epidemiology and screening Clinical trials Case-control methodology for assessment of cancer screening modalities
Doug Midthune, MS	Statistical computing Covariate measurement error models Nutritional epidemiology
Blossom Patterson, PhD	Selenium kinetics Compartmental modeling Dietary assessment Latent class analysis
Philip C. Prorok, PhD	Design and analysis of cancer screening programs Mathematical modeling of screening Analysis of cancer natural history data Analysis of censored duration data Stochastic processes
David Ransohoff, MD	Biomarkers for the early detection of cancer Evaluating personalized medicine and risk prediction Improving research methods for studies of diagnosis and prognosis Observational studies Screening for the early detection of cancer Surrogate endpoints
Simon Rosenfeld, PhD	Genetic regulatory networks: dynamics, biochemistry, stability, computational models, measurement paradigms Systems and computational biology, bioinformatics Microarrays: statistical methodology, software development, practical applications Monte Carlo simulation, bootstrap, permutation testing Time series analysis, simulation and prediction Random sample generation: algorithms and applications Small samples, serial correlations, non-normality, transformations Multiple testing
Jian-Lun Xu, PhD	Evaluation of cancer screening program Biomarker for prediction of cancer Stochastic modeling / biased sampling model in cancer study Statistical methods – survival analysis, multivariate analysis, nonparametric inference and asymptotic theory
Mark Zweig, MD	Evidence-based medicine Communication of health information by the media