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
bakers@mail.nih.gov |
EPN 3118
(301) 496-7708 |
Vance Berger, PhD
bergerv@mail.nih.gov |
EPN 3115
(301) 435-5303 |
Donald Corle, MS
corled@mail.nih.gov |
EPN 3114
(301) 496-7456 |
Kevin Dodd, PhD
doddk@mail.nih.gov |
EPN 3129
(301) 496-7461 |
Paul Doria-Rosé, DVM, PhD
doriarop@mail.nih.gov |
EPN 3113
(301) 496-8574 |
Richard Fagerstrom, PhD
fagerstr@mail.nih.gov |
EPN 3126
(301) 496-7458 |
Jennifer Gaegler
gaeglerj@mail.nih.gov |
EPN 3130
(301) 496-7474 |
Ping Hu, ScD
pingh@mail.nih.gov |
EPN 3127
(301) 496-8553 |
Grant Izmirlian, PhD
izmirlig@mail.nih.gov |
EPN 3122
(301) 496-7519 |
Victor Kipnis, PhD
kipnisv@mail.nih.gov |
EPN 3124
(301) 496-7464 |
Adeyinka Laiyemo, MBBS, MPH
laiyemoa@mail.nih.gov |
EPN 3121
(301) 496-8550 |
Pamela Marcus, MS, PhD
marcusp@mail.nih.gov |
EPN 3128
(301) 496-7468 |
Doug Midthune, MS
midthund@mail.nih.gov |
EPN 3119
(301) 496-7463 |
Lawrence Morris
morrisla@mail.nih.gov |
EPN 3131
(301) 496-8556 |
Blossom Patterson, MA, PhD
pattersb@mail.nih.gov |
EPN 3116
(301) 496-7477 |
Philip Prorok, PhD
prorokp@mail.nih.gov |
EPN 3132
(301) 496-7709 |
David Ransohoff, MD
ransohof@med.unc.edu |
EPN 3131
(301) 496-8556 |
Simon Rosenfeld, PhD
rosenfes@mail.nih.gov |
EPN 3108
(301) 496-7748 |
Marina Shumakovich
shumakovichm@mail.nih.gov |
EPN 3107
(301) 496-8556 |
Jian-Lun Xu, PhD
jianxu@helix.nih.gov |
EPN 3120
(301) 496-7475 |
Mark Zweig, MD
zweigm@mail.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 |
- Biomarkers for the early detection of cancer
- Evaluating personalized medicince and risk prediction
- Microarrays
- Observational studies
- Paradoxes in carcinogenesis
- Randomized trials
- Screening for early detection of cancer
- Surrogate endpoints
- Twin studies
|
| 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 |
- Statistical analysis of proteomics, SNP and microarray data
- Statistical issues related to interim analysis
- Stochastic processes issues in natural history models for 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 |
- Stochastic modeling in cancer study
- Survival analysis
- Multivariate analysis
- Nonparametric inference
- Asymptotic theory
- Analysis of biased sampling data
|
| Mark Zweig, MD |
- Evidence-based medicine
- Communication of health information by the media
|
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