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 2006
Posterior Simulation in the Generalized Linear Model with Semiparmetric Random Effects, Subharup Guha
Bayesian Hidden Markov Modeling of Array CGH Data, Subharup Guha, Yi Li, and Donna Neuberg
Spatio-Temporal Analysis of Areal Data and Discovery of Neighborhood Relationships in Conditionally Autoregressive Models, Subharup Guha and Louise Ryan
PLASQ: A Generalized Linear Model-Based Procedure to Determine Allelic Dosage ini Cancer Cells from SNP Array Data, Thomas LaFramboise, David P. Harrington, and Barbara A. Weir
A Comparison of Methods for Estimating the Causal Effect of a Treatment in Randomized Clinical Trials Subject to Noncompliance, Rod Little, Qi Long, and Xihong Lin
Semiparametric Regression of Multi-Dimensional Genetic Pathway Data: Least Squares Kernel Machines and Linear Mixed Models, Dawei Liu, Xihong Lin, and Debashis Ghosh
Causal Inference in Hybrid Intervention Trials Involving Treatment Choice, Qi Long, Rod Little, and Xihong Lin
Selecting 'Significant' Differentially Expressed Genes from the Combined Perspective of the Null and the Alternative, Beatrijs Moerkerke and Els Goetghebeur
An Informative Bayesian Structural Equation Model to Assess Source-Specific Health Effects of Air Pollution, Margaret C. Nikolov, Brent A. Coull, Paul J. Catalano, and John J. Godleski
Mixed Multiplicative Factor Analysis Model for Air Pollution Exposure Assessment, Margaret C. Nikolov, Brent A. Coull, Paul J. Catalano, and John J. Godleski
Bayesian Smoothing of Irregularly-spaced Data Using Fourier Basis Functions, Christopher J. Paciorek
Structural Inference in Transition Measurement Error Models for Longitudinal Data, Wenqin Pan, Xihong Lin, and Donglin Zeng
Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data, Wenqin Pan, Donglin Zeng, and Xihong Lin
Multiple Testing With an Empirical Alternative Hypothesis, James E. Signorovitch
A Diagnostic Test for the Mixing Distribution in a Generalised Linear Mixed Model, Eric J. Tchetgen and Brent A. Coull
Evaluating Prediction Rules for t-Year Survivors With Censored Regression Models, Hajime Uno, Tianxi Cai, Lu Tian, and L.J. Wei
Using Profile Likelihood for Semiparametric Model Selection with Application to Proportional Hazards Mixed Models, Ronghui Xu, Anthony Gamst, Michael Donohue, Florin Vaida, and David P. Harrington
Nonparametric Regression Using Local Kernel Estimating Equations for Correlated Failure Time Data, Zhangsheng Yu and Xihong Lin
Papers from 2005
The Sensitivity and Specificity of Markers for Event Times, Tianxi Cai, Margaret S. Pepe, Thomas Lumley, Yingye Zheng, and Nancy Swords Jenny
Model Checking for ROC Regression Analysis, Tianxi Cai and Yingye Zheng
A Pseudolikelihood Approach for Simultaneous Analysis of Array Comparative Genomic Hybridizations (aCGH), David A. Engler, Gayatry Mohapatra, David N. Louis, and Rebecca Betensky
Gauss-Seidel Estimation of Generalized Linear Mixed Models with Application to Poisson Modeling of Spatially Varying Disease Rates, Subharup Guha and Louise Ryan
Feature-Specific Penalized Latent Class Analysis for Genomic Data, E. Andres Houseman, Brent A. Coull, and Rebecca A. Betensky
A Nonstationary Negative Binomial Time Series with Time-Dependent Covariates: Enterococcus Counts in Boston Harbor, E. Andres Houseman, Brent Coull, and James P. Shine
Robust Inferences For Covariate Effects On Survival Time With Censored Linear Regression Models, Larry Leon, Tianxi Cai, and L. J. Wei
Semiparametric Estimation in General Repeated Measures Problems, Xihong Lin and Raymond J. Carroll
Semiparametric Normal Transformation Models for Spatially Correlated Survival Data, Yi Li and Xihong Lin
Inference on Survival Data with Covariate Measurement Error - An Imputation-based Approach, Yi Li and Louise Ryan
Designed Extension of Survival Studies: Application to Clinical Trials with Unrecognized Heterogeneity, Yi Li, Mei-Chiung Shih, and Rebecca A. Betensky
Mixture Cure Survival Models with Dependent Censoring, Yi Li, Ram C. Tiwari, and Subharup Guha
Computational Techniques for Spatial Logistic Regression with Large Datasets, Christopher J. Paciorek and Louise Ryan
Simultaneous and Exact Interval Estimates for the Contrast of Two Groups Based on an Extremely High Dimensional Response Variable: Application to Mass Spec Data Analysis, Yuhyun Park, Sean R. Downing, Cheng Li Dr., William C. Hahn, Philip W. Kantoff, and L. J. Wei
Model Evaluation Based on the Distribution of Estimated Absolute Prediction Error, Lu Tian, Tianxi Cai, Els Goetghebeur, and L. J. Wei
Implementation Of Estimating-Function Based Inference Procedures With MCMC Sampler, Lu Tian, Jun S. Liu, and L. J. Wei
Papers from 2004
A Robust Regression Model for a First-Order Autoregressive Time Series with Unequal Spacing: Technical Report, E. Andres Houseman
A Functional-Based Distribution Diagnostic for a Linear Model with Correlated Outcomes: Technical Report, E. Andres Houseman, Brent Coull, and Louise Ryan
Cholesky Residuals for Assessing Normal Errors in a Linear Model with Correlated Outcomes: Technical Report, E. Andres Houseman, Louise Ryan, and Brent Coull
Semiparametric Methods for Semi-competing Risks Problem with Censoring and Truncation, Hongyu Jiang, Jason Fine, and Richard J. Chappell
One- and Two-Sample Nonparametric Inference Procedures in the Presence of Dependent Censoring, Yuhyun Park, Lu Tian, and L. J. Wei
On the Accelerated Failure Time Model for Current Status and Interval Censored Data, Lu Tian and Tianxi Cai
The Optimal Confidence Region for a Random Parameter, Hajime Uno, Lu Tian, and L.J. Wei
Papers from 2003
Semi-parametric Box-Cox Power Transformation Models for Censored Survival Observations, Tianxi Cai, Lu Tian, and L. J. Wei
Nonparametric Comparison of Two Survival-Time Distributions in the Presence of Dependent Censoring, Greg DiRienzo
Nonparametric Methods to predict HIV drug susceptibility phenotype from genotype, Greg DiRienzo
The Effects of Misspecifying Cox's Regression Model on Randomized Treatment Group Comparisons, Greg DiRienzo
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
A Nonparametric Comparison of Conditional Distributions with Nonnegligible Cure Fractions, Yi Li and Jin Feng
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