Located on the Harvard Medical Campus, the Department of Biostatistics was one of the first departments in the newly formed Harvard School of Public Health in 1922. Now in its 80th year, the Department comprises 85 students, 57 faculty members, and 22 research associates and fellows. Our size contributes to our ability to address a broad spectrum of biostatistical and public health issues.
Current departmental research on statistical and computing methods for observational studies and clinical trials includes survival analysis, missing-data problems, and causal inference. Other areas of investigation are environmental research (methods for longitudinal studies, analyses with incomplete data, and meta-analysis); statistical aspects of the study of AIDS and cancer; quantitative problems in health-risk analysis, technology assessment, and clinical decision making; statistical methodology in psychiatric research and in genetic studies; Bayesian statistics; statistical computing; statistical genetics and computational biology; and collaborative research activities with biomedical scientists in other Harvard-affiliated institutions.
The Harvard University Biostatistics Working Paper Series presents contributions by our faculty and researchers that rely on the theory and application of statistical science to analyze public health problems.
Papers from 2003
Statistical Inference for Infinite Dimensional Parameters Via Asymptotically Pivotal Estimating Functions, Meredith A. Goldwasser, Lu Tian, and L. J. Wei
Empirical and Kernel Estimation of Covariate Distribution Conditional on Survival Time, Xiaochun Li and Ronghui Xu
Survival Analysis with Heterogeneous Covariate Measurement Error, Yi Li and Louise Ryan
STATISTICAL INFERENCES BASED ON NON-SMOOTH ESTIMATING FUNCTIONS, Lu Tian, Jun S. Liu, Mary Zhao, and L. J. Wei
Estimating Predictors for Long- Or Short-Term Survivors, Lu Tian, Wei Wang, and L. J. Wei
On the Cox Model with Time-Varying Regression Coefficients, Lu Tian, David Zucker, and L. J. Wei