Alexander Tsodikov, Ph.D.

Professor of Biostatistics

M4142 SPH II
1420 Washington Heights
Ann Arbor, Michigan 48109-2029

Office: (734) 764-5450; Fax: (734) 763-2215

E-mail: tsodikov@umich.edu

Website(s): Cancer Interventions and Surveillance Modeling Network (CISNET); University of Michigan CISNET model profile

Curriculum Vitae (PDF, 127,868 KB)

Professional Summary

Alex Tsodikov is Professor of Biostatistics. He received his Ph.D. in Applied Mathematics in 1991 from St. Petersburg State Technical University, Russia. Prior to joining University of Michigan, he has been a Postdoctoral Scholar at the Curie Institute (Paris, France), a staff statistician at the University of Leipzig (Germany), Research Assistant/Associate Professor at the University of Utah and Associate Professor/Professor at the University of California, Davis. Dr. Tsodikov's research interests are in various areas of biostatistics and biomathematics, including failure time and survival analysis models, cure models, semiparametric inference, stochastic models, optimal control, inference algorithms based on self-consistency.

Courses Taught

BIOSTAT524: Biostatistics for Clinical Researchers    Syllabus (PDF)
BIOSTAT560: Statistical Methods in Epidemiology    Syllabus (PDF)
BIOSTAT601: Probability and Distribution Theory    Syllabus (PDF)
BIOSTAT664: Special Topics in Biostastics    Syllabus (PDF)

BIOSTAT 875 Advanced Survival analysis

BIOSTAT 830 Special Topics: Frailty and Copula Models

Education

Ph.D., Mathematics/Application of Computing, Mathematical Models and Methods in Natural Sciences, St. Petersburg State Technical University, 1991
M.Sc., Applied Mathematics, St. Petersburg State Technical University, 1988

Research Interest & Projects

My research interests have mainly been evolving around cancer research. My recent methodological interest has centered on the idea of fake mixture or frailty models and its generalization as a tool to derive computationally efficient inference procedures for a wide variety of statistical models. Much of this methodology was initially developed for so-called semiparametric cure models that incorporate improper distributions showing a tail defect. I'm working on a project funded by the National Cancer Institute applying these methods to build a comprehensive model of the dynamics of the national incidence and mortality trends in prostate cancer in the presence of variable utilization of screening. I am also interested in multivariate semiparametric survival models, age-period-cohort models, categorical data analysis and computational approaches to statistical inference such as EM and MM algorithms. I also have a broad ongoing statistical consulting experience in basic and clinical research as well as epidemiology and population sciences.

Selected Publications

Tsodikov, A., Chefo, S. (2008). Generalized Self-Consistency: Multinomial logit model and Poisson likelihood Journal of Statistical Planning and Inference, 2380-2397.

Etzioni, R., Tsodikov, A., Mariotto, A., Szabo, A., Falcon, S., Wegelin, J., diTommaso, D., Karnofski, K., Gulati, R., Penson, D., Feuer, E." (2008). PSA Screening Explains Half or More of the Drop in US Prostate Cancer Deaths Cancer Causes & Control, 175-181.

Brown, M., Tsodikov, A., Bauer, K.R., Parise,C.A., and Caggiano, V. (2008). The Role of HER2 to the Survival of Women with Estrogen and Progesterone Receptor Negative Invasive Breast Cancer, the California Cancer Registry, 1999-2004 Cancer, 737-747.

Tsodikov, A. and Garibotti, G." (2007). Profile Information Matrix for Nonlinear Transformation Models Lifetime Data Analysis, 1, 139-159.

Tsodikov, A., Szabo, A., and Wegelin, J." (2006). A population model of prostate cancer incidence Statistics in Medicine, 2846-2866.

Tsodikov A. (2003). Semiparametric models: A generalized self-consistency approach. Journal of the Royal Statistical Society, Series B, 65, 759-774.

Tsodikov A. Ibrahim J.G., and Yakovlev A.Y. (2003). Estimating Cure Rates from Survival Data: An Alternative to Two-Component Mixture Models. Journal of the American Statistical Association, 98, 1063-1078.

Tsodikov A.D. (1998). A proportional hazards model taking account of long-term survivors. Biometrics, 54, 1508-1516.

Tsodikov A.D. and Mller W. (1998). Modeling carcinogenesis under a time-changing exposure. Mathematical Biosciences, 152, 179-191.

Tsodikov A., Asselain B., Fourquet A., Hoang T., Yakovlev A. (1995). Discrete strategies of cancer post treatment surveillance. Estimation and optimization problems. Biometrics, 51, 437 447.

Professional Affiliations

International Biometric Society
American Statistical Association