Biostatistics Branch (BB)A
| B | C
| D | E | F | G
| H | I | J | K
| M | N | O | P
| Q | R
| T | U | V | W
| X | Y
- Anderson, William F., M.D., M.P.H.
Cancer surveillance research of breast and other sporadic cancers, supplementing standard descriptive epidemiology with novel biostatistical models and methods to better understand cancer subtypes, trends, and the effects of age-period-cohort events.
- Chatterjee, Nilanjan, Ph.D.
Survival analysis methods for genetic epidemiologic studies. Two-phase designs using biological and questionnaire data. Statistical methods for epidemiologic studies with disease classification data.
- Gail, Mitchell H., M.D., Ph.D.
Studies of breast and gastric cancer etiology and risk assessment. Statistical methods for observational and experimental studies, including design and analysis of genetic epidemiologic studies.
- Graubard, Barry I., Ph.D.
Use of national surveys and other types of population based-studies for conducting epidemiologic and risk factor surveillance studies related to the incidence of and mortality from cancer. Statistical methods for design and analysis of observational and randomized studies with complex sample designs.
- Katki, Hormuzd A., Ph.D.
Predicting cervical cancer risk. Estimating absolute risks from studies nested within cohorts. Efficient study designs for comparing diagnostic tests. Methodology for clinical genetics.
- Lubin, Jay H., Ph.D.
Studies of the carcinogenic effects of radon and other radiation exposures, the assessment of measurement error, and the evaluation of other etiologic factors, including gene-environment interaction.
- Pfeiffer, Ruth M., Ph.D.
Statistical methods for: genetic epidemiology, including power assessment of association studies, family data accounting for ascertainment , DNA pooling for joint genotype estimation, and lab data methods.
- Rosenberg, Philip S., Ph.D.
HIV/AIDS natural history. Viruses and cancer, including HCV, SV40, and KSHV. Meta-analysis in genetic epidemiology. Smoothing and nonparametric regression. Cancer susceptibility.
- Sampson, Joshua, Ph.D.
Statistical methods for identifying biomarkers, such as genes, proteins, and metabolites, associated with cancer risk. Connecting risk factors with etiology of cancer. High dimensional data analysis.
- Shi, Jianxin, Ph.D.
Statistical genetics, with focus on copy number variantion analysis and pathway analysis; statistical analysis of microbiome; analysis of genetic variants related with P53 gene and pathway.
- Wacholder, Sholom, Ph.D.
Design of epidemiologic studies, including control selection and efficient design. Joint effects of genetic and environmental factors. Natural history of human papillomavirus and cervical neoplasia.
- Yu, Kai, Ph.D.
Statistical methods for genetic epidemiologic studies. Tree-based modeling for high dimensional data. Population genetics