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The Department of Biostatistics is one of 5 departments in the School of Public Health and Community Medicine at the University of Washington. Its mission is to serve as a source of expertise and a focus for training and research in the quantitative aspects of public health and medicine, and to promote the use of rigorous quantitative methods in the biomedical and public health sciences.

Our graduate program is regarded as one of the best Biostatistics programs in the world, with over 30 years of teaching and research experience on the UW campus. Faculty interests range over a wide variety of statistical topics, including survival analysis, clinical trials, statistical genetics and correlated data.

The UW Biostatistics Working Paper series includes articles on statistical methods and applications developed by members of the department. In general, articles dated 2000 and later are downloadable from this site.

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Papers from 2006

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Different Public Health Interventions have Varying Effects, Paula Diehr, Anne B. Newman, Liming Cai, and Ann Derleth

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Evaluating Causal Effect Predictiveness of Candidate Surrogate Endpoints, Peter B. Gilbert and Michael Hudgens

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The Two-sample Problem for Failure Rates Depending on a Continuous Mark: An Application to Vaccine Efficacy, Peter B. Gilbert, Ian W. McKeague, and Yanqing Sun

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Genome Scanning Methods for Comparing Sequences Between Groups, with Application to HIV Vaccine Trials, Peter B. Gilbert, Chunyuan Wu, and David V. Jobes

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Hierarchical Models for Combining Ecological and Case-control Data, Sebastien Haneuse and Jon Wakefield

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The Combination of Ecological and Case-Control Data, Sebastien Haneuse and Jon Wakefield

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The combination of ecological and case-control data, Sebastien Haneuse and Jon Wakefield

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Multiple imputation for the comparison of two screening tests in two-phase Alzheimer studies, Ofer Harel and Xiao-Hua Zhou

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Multiple imputation - Review of theory, implementation and software, Ofer Harel and Xiao-Hua Zhou

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Evaluating the Predictiveness of a Continuous Marker, Ying Huang, Margaret S. Pepe, and Ziding Feng

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Adjusting for Covariate Effects on Classification Accuracy Using the Covariate-Adjusted ROC Curve, Holly Janes and Margaret S. Pepe

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Statistical Analysis of Air Pollution Panel Studies: An Illustration, Holly Janes, Lianne Sheppard, and Kristen Shepherd

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2^k Factorials in Blocks of Size 2, with Application to Two-Color Microarray Experiments, Kathleen F. Kerr

On the Structure of Multiple Testing Procedures, Jeffrey Leek and John D. Storey

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Relative Risk Regression in Medical Research: Models, Contrasts, Estimators, and Algorithms, Thomas Lumley, Richard Kronmal, and Shuangge Ma

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A Marginalized Diffusion Model for Estimating Age at First Endoscopy Examination from Current Status Data, Diana Miglioretti and Elizabeth Brown

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Hierarchical Lévy Frailty Models and a Frailty Analysis of Data on Infant Mortality in Norwegian Siblings, Tron Anders Moger and Odd O. Aalen

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Case-cohort Methods for Survival Data on Families from Routine Registers, Tron Anders Moger, Yudi Pawitan, and Ørnulf Borgan

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Integrating the Predictiveness of a Marker with its Performance as a Classifier, Margaret S. Pepe, Ziding Feng, Ying Huang, Gary M. Longton, Ross Prentice, Ian M. Thompson, and Yingye Zheng

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A Semiparametric Approach for the Nonparametric Transformation Survival Model With Multiple Covariates, Xiao Song, Shuangge Ma, Jian Huang, and Xiao-Hua Zhou

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COVARIATE SPECIFIC ROC CURVE WITH SURVIVAL OUTCOME, Xiao Song and Xiao-Hua Zhou

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Disease Mapping and Spatial Regression with Count Data, Jon Wakefield

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Assessing the Adequacy of Variance Function in Heteroscedastic Regression Models, Lan Wang and Xiao-Hua Andrew Zhou

Papers from 2005

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Longitudinal Data Analysis for Generalized Linear Models under Irregular, Biased Sampling: Situations with Follow-up Dependent on Outcome or Auxiliary Outcome-related Variables, Petra Buzkova and Thomas Lumley

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Marginal Regression Modeling under Irregular, Biased Sampling, Petra Buzkova and Thomas Lumley

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Semiparametric Loglinear Regression for Longitudinal Measurements Subject to Irregular, Biased Follow-up, Petra Buzkova and Thomas Lumley

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Interval Estimation for the Ratio and Difference of Two Lognormal Means, Yea-Hung Chen and Xiao-Hua Zhou

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On Additive Regression of Expectancy, Ying Qing Chen

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Attributable Risk Function in the Proportional Hazards Model, Ying Qing Chen, Chengcheng Hu, and Yan Wang

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Linear Regression of Censored Length-biased Lifetimes, Ying Qing Chen and Yan Wang

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Estimating a Treatment Effect with Repeated Measurements Accounting for Varying Effectiveness Duration, Ying Qing Chen, Jingrong Yang, and Su-Chun Cheng

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A New Approach to Intensity-Dependent Normalization of Two-Channel Microarrays, Alan R. Dabney and John D. Storey

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Optimal Feature Selection for Nearest Centroid Classifiers, With Applications to Gene Expression Microarrays, Alan R. Dabney and John D. Storey

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Is the Number of Sick Persons in a Cohort Constant Over Time?, Paula Diehr, Ann Derleth, Anne Newman, and Liming Cai

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Nonparametric Statistical Methods for the Cost-Effectiveness Analysis, Phillip Dinh and Xiao-Hua Zhou

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Bayesian Evaluation of Group Sequential Clinical Trial Designs, Scott S. Emerson, John M. Kittelson, and Daniel L. Gillen

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Frequentist Evaluation of Group Sequential Clinical Trial Designs, Scott S. Emerson, John M. Kittelson, and Daniel L. Gillen

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On the Use of Stochastic Curtailment in Group Sequential Clinical Trials, Scott S. Emerson, John M. Kittelson, and Daniel L. Gillen

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Constructing Confidence Intervals of the Summary Statistics in the Least-Squares SROC Model, Ming-Yu Fan and Xiao-Hua Zhou

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Alleviating Linear Ecological Bias and Optimal Design with Subsample Data, Adam Glynn, Jon Wakefield, Mark Handcock, and Thomas Richardson

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Multiple Imputation for Correcting Verification Bias, Ofer Harel and Xiao-Hua Zhou

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A Comparison of Parametric and Coarsened Bayesian Interval Estimation in the Presence of a Known Mean-Variance Relationship, Kent Koprowicz, Scott S. Emerson, and Peter Hoff

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An Empirical Process Limit Theorem for Sparsely Correlated Data, Thomas Lumley

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Confidence Intervals for Predictive Values Using Data from a Case Control Study, Nathaniel David Mercaldo, Xiao-Hua Zhou, and Kit F. Lau

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Combining Predictors for Classification using the Area Under the ROC Curve, Margaret S. Pepe, Tianxi Cai, Zheng Zhang, and Gary M. Longton

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Insights into Latent Class Analysis, Margaret S. Pepe and Holly Janes

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Limitations of the Odds Ratio in Gauging the Performance of a Diagnostic or Prognostic Marker, Margaret S. Pepe, Holly Janes, Gary M. Longton, Wendy Leisenring, and Polly Newcomb

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Standardizing Markers to Evaluate and Compare their Performances, Margaret S. Pepe and Gary M. Longton

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New Confidence Intervals for the Difference between Two Sensitivities at a Fixed Level of Specificity, Gengsheng Qin, Yu-Sheng Hsu, and Xiao-Hua Zhou

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Empirical Likelihood Inference for the Area Under the ROC Curve, Gengsheng Qin and Xiao-Hua Zhou

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The Clustering of Regression Models Method with Applications in Gene Expression Data, Li-Xuan Qin and Steven G. Self

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A Hybrid Model for Reducing Ecological Bias, Ruth Salway and Jon Wakefield

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Semiparametric Approaches for Joint modeling of Longitudinal and Survival Data with Time Varying Coefficients, Xiao Song and C.Y. Wang

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The Optimal Discovery Procedure: A New Approach to Simultaneous Significance Testing, John D. Storey

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The Optimal Discovery Procedure for Large-Scale Significance Testing, with Applications to Comparative Microarray Experiments, John D. Storey, James Y. Dai, and Jeffrey T. Leek

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Health-Exposure Modelling and the Ecological Fallacy, Jon Wakefield and Gavin Shaddick

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A Linear Regression Framework for Receiver Operating Characteristic(ROC) Curve Analysis, Zheng Zhang and Margaret S. Pepe

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Application of the Time-Dependent ROC Curves for Prognostic Accuracy with Multiple Biomarkers, Yingye Zheng, Tianxi Cai, and Ziding Feng

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Bayesian Analysis of Cell-Cycle Gene Expression Data, Chuan Zhou, Jon Wakefield, and Linda Breeden

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Empirical Likelihood Intervals for the Mean Difference of Two Skewed Populations with Additional Zero Values, W. Zhou and Xiao-Hua Zhou

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Semi-Parametric Maximum Likelihood Estimates for ROC Curves of Continuous-Scale Tests, Xiao-Hua Zhou and Hua Zhen Lin

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Inferences in Censored Cost Regression Models with Empirical Likelihood, Xiao-Hua Zhou, Gengsheng Qin, Huazhen Lin, and Gang Li

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ITT Analysis of Randomized Encouragement Design Studies with Missing-Data, Xiao-Hua Zhou, Richard Wang, and Sierra M. Li

Papers from 2004

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Incorporating Death into Health-Related Variables in Longitudinal Studies, Paula Diehr, Laura Lee Johnson, Donald L. Patrick, and Bruce Psaty

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Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures, Holly Janes, Lianne Sheppard, and Thomas Lumley

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Referent Selection Strategies in Case-Crossover Analyses of Air Pollution Exposure Data: Implications for Bias, Holly Janes, Lianne Sheppard, and Thomas Lumley

Quantifying and Comparing the Accuracy of Binary Biomarkers When Predicting a Failure Time Outcome, Chaya S. Moskowitz and Margaret S. Pepe

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Combining Predictors for Classification Using the Area Under the ROC Curve, Margaret S. Pepe, Tianxi Cai, and Zheng Zhang

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On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error, Xiao Song and Yijian Huang

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Evaluating Markers for Selecting a Patient's Treatment, Xiao Song and Margaret S. Pepe

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A Marginal Model Approach for Analysis of Multi-reader Multi-test Receiver Operating Characteristic (ROC) Data, Xiao Song and Xiao-Hua Zhou

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Significance Analysis of Time Course Microarray Experiments, John D. Storey, Wenzhong Xiao, Jeffrey T. Leek, Ronald G. Tompkins, and Ron W. Davis

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Estimating the Retransformed Mean in a Heteroscedastic Two-Part Model, Alan H. Welsh and Xiao-Hua Zhou

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Calibrating Observed Differential Gene Expression for the Multiplicity of Genes on the Array, Yingye Zheng and Margaret S. Pepe

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Non-Parametric Estimation of ROC Curves in the Absence of a Gold Standard, Xiao-Hua Zhou, Pete Castelluccio, and Chuan Zhou

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Nonparametric Confidence Intervals for the One- and Two-Sample Problems, Xiao-Hua Zhou and Phillip Dinh

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Semi-parametric Single-index Two-Part Regression Models, Xiao-Hua Zhou and Hua Liang

Papers from 2003

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Estimating Disease Prevalence in Two-Phase Studies, Todd A. Alonzo and Margaret S. Pepe

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Whither PQL?, Norm Breslow

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Constrained Boundary Monitoring for Group Sequential Clinical Trials, Bart E. Burington and Scott S. Emerson

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Semiparametric Receiver Operating Characteristic Analysis to Evaluate Biomarkers for Disease, Tianxi Cai and Margaret S. Pepe

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The Sensitivity and Specificity of Markers for Event Times, Tianxi Cai, Margaret S. Pepe, Thomas Lumley, Yingye Zheng, and Nancy Swords Jenny

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Partial AUC Estimation and Regression, Lori E. Dodd and Margaret S. Pepe

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Semi-parametric Regression for the Area Under the Receiver Operating Characteristic Curve, Lori E. Dodd and Margaret S. Pepe

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Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials, Peter B. Gilbert, Ronald J. Bosch, and Michael G. Hudgens

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Tests for Comparing Mark-Specific Hazards and Cumulative Incidence Functions, Peter B. Gilbert, Ian W. McKeague, and Yanqing Sun

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Survival Model Predictive Accuracy and ROC Curves, Patrick Heagerty and Yingye Zheng

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Design of the HIV Prevention Trials Network (HPTN) Protocol 054: A cluster randomized crossover trial to evaluate combined access to Nevirapine in developing countries, Jim Hughes, Robert L. Goldenberg, Catherine M. Wilfert, Megan Valentine, Kasonde G. Mwinga, Laura A. Guay, Francis Mmiro, and Jeffrey S. A. Stringer

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Estimating the accuracy of polymerase chain reaction-based tests using endpoint dilution, Jim Hughes and Patricia Totten

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Identifying Target Populations for Screening or Not Screening Using Logic Regression, Holly Janes, Margaret S. Pepe, Charles Kooperberg, and Polly Newcomb

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Bootstrap Confidence Intervals for Medical Costs With Censored Observations, Hongyu Jiang and Xiao-Hua Zhou

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Design Considerations for Efficient and Effective Microarray Studies, M. Kathleen Kerr

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Linear Models for Microarray Data Analysis: Hidden Similarities and Differences, M. Kathleen Kerr

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Marginalized Transition Models for Longitudinal Binary Data With Ignorable and Nonignorable Dropout, Brenda F. Kurland and Patrick J. Heagerty

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Asymptotics for Marginal Generalized Linear Models With Sparse Correlations, Thomas Lumley and Nicole Mayer Hamblett

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Marginal Modeling of Multilevel Binary Data with Time-Varying Covariates, Diana Miglioretti and Patrick Heagerty

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Selecting Differentially Expressed Genes from Microarray Experiments, Margaret S. Pepe, Gary M. Longton, Garnet L. Anderson, and Michel Schummer

Modeling Breastmilk Infectivity in HIV-1 Infected Mothers, Barbra A. Richardson and James P. Hughes

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Literate Statistical Practice, Anthony Rossini and Friedrich Leisch

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Simple Parallel Statistical Computing in R, Anthony Rossini, Luke Tierney, and Na Li