Biostatistics creates and applies methods for quantitative research in the health sciences. Our faculty conduct research across the spectrum of statistical science from foundations of inference to the discovery of new methodology to health applications. Our designs and analytic methods enable health scientists and professionals in academia, government, pharmaceutical companies, medical research organizations and elsewhere to efficiently acquire knowledge and draw valid conclusions from their ever-expanding sources of information.
A collection of working papers and related research documents from the department faculty may be found here.
Further information about the department may be found at www.biostat.jhsph.edu.
Papers from 2004
A Model Based Background Adjustment for Oligonucleotide Expression Arrays, Zhijin Wu, Rafael A. Irizarry, Robert Gentleman, Francisco Martinez Murillo, and Forrest Spencer
A Cox Model for Biostatistics of the Future, Scott L. Zeger, Peter J. Diggle, and Kung-Yee Liang
On Time Series Analysis of Public Health and Biomedical Data, Scott L. Zeger, Rafael A. Irizarry, and Roger D. Peng
Papers from 2003
Time-Series Studies of Particulate Matter, Michelle L. Bell, Jonathan M. Samet, and Francesca Dominici
Modeling the Incubation Period of Anthrax, Ron Brookmeyer, Elizabeth Johnson, and Sarah Barry
Unification of Variance Components and Haseman-Elston Regression for Quantitative Trait Linkage Analysis, Wei-Min Chen, Karl W. Broman, and Kung-Yee Liang
Kernel Estimation of Rate Function for Recurrent Event Data, Chin-Tsang Chiang, Mei-Cheng Wang, and Chiung-Yu Huang
Underestimation of Standard Errors in Multi-Site Time Series Studies, Michael Daniels, Francesca Dominici, and Scott L. Zeger
Smooth Quantile Ratio Estimation, Francesca Dominici, Leslie Cope, Daniel Q. Naiman, and Scott L. Zeger
Hierarchical Bivariate Time Series Models: A Combined Analysis of the Effects of Particulate Matter on Morbidity and Mortality, Francesca Dominici, Antonella Zanobetti, Scott L. Zeger, Joel Schwartz, and Jonathan M. Samet
Smooth Quantile Ratio Estimation with Regression: Estimating Medical Expenditures for Smoking Attributable Diseases, Francesca Dominici and Scott L. Zeger
Checking Assumptions in Latent Class Regression Models via a Markov Chain Monte Carlo Estimation Approach: An Application to Depression and Socio-Economic Status, Elizabeth Garrett, Richard Miech, Pamela Owens, William W. Eaton, and Scott L. Zeger
A Nested Unsupervised Approach to Identifying Novel Molecular Subtypes, Elizabeth Garrett and Giovanni Parmigiani
Joint Modeling and Estimation for Recurrent Event Processes and Failure Time Data, Chiung-Yu Huang and Mei-Cheng Wang
Nonparametric Estimation of the Bivariate Recurrence Time Distribution, Chiung-Yu Huang and Mei-Cheng Wang
Loss Function Based Ranking in Two-Stage, Hierarchical Models, Rongheng Lin, Thomas A. Louis, Susan M. Paddock, and Greg Ridgeway
Uncertainty and the Value of Diagnostic Information With Application to Axillary Lymph Node Dissection in Breast Cancer, Giovanni Parmigiani
Cross-Calibration of Stroke Disability Measures: Bayesian Analysis of Longitudinal Ordinal Categorical Data Using Negative Dependence, Giovanni Parmigiani, Heidi W. Ashih, Gregory P. Samsa, Pamela W. Duncan, Sue Min Lai, and David B. Matchar
Optimization of Breast Cancer Screening Modalities, Yu Shen and Giovanni Parmigiani
Stochastic Models Based on Molecular Hybridization Theory for Short Oligonucleotide Microarrays, Zhijin Wu, Richard LeBlanc, and Rafael A. Irizarry
Papers from 2002
Estimating the Number of Essential Genes in a Genome by Random Transposon Mutagenesis, Natalie J. Blades and Karl W. Broman