Welcome to the Working Papers site for the Department of Biostatistics at the University of Michigan. The papers available on this site represent a selection of the current research being conducted by members of our department, which includes 23 faculty, 31 staff and 120 students. The Department of Biostatistics plays an instrumental role in bringing biostatistical expertise to a wide spectrum of health-related problems. We seek to advance knowledge in biostatistics and health through educational programs for students and applied researchers. The Department also plays a major service role, both within the University of Michigan and on the national and international stage. Read more...

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Papers from 2014

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A global partial likelihood estimator of the time-varying effects for time-dependent treatment, Huazhen Lin, Zhe Fei, and Yi Li

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Clustering Survival Outcomes using Dirichlet Process Mixture, Lili Zhao, Jingchunzi Shi, Tempie H. Shearon, and Yi Li

Papers from 2013

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Surrogacy Assessment Using Principal Stratification When Surrogate and Outcome Measures are Multivariate Normal, Anna Conlon, Jeremy M.G. Taylor, and Michael R. Elliott

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Penalized Smoothed Partial Rank Estimator for the Nonparametric Transformation Survival Model with High-dimensional Covariates, Wei Dai and Yi Li

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Multi-Marker Tests for Joint Association in Longitudinal Studies Using the Genetic Random Field Model, Zihuai He, Min Zhang, Seunggeun Lee, Jennifer A. Smith, Xiuqing Guo, Walter Palmas, Sharon L.R. Kardia, Ana V. Diez Roux, and Bhramar Mukherjee

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A Frailty Approach for Survival Analysis with Error-prone Covariate, Sehee Kim, Yi Li, and Donna Spiegelman

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Semiparametric Latent Variable Transformation Models for Multiple Mixed Outcomes, Huazhen Lin, Ling Zhou, Robert Elashoff, and Yi Li

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Semiparametric Transformation Models for Semicompeting Survival Data, Huazhen Lin, Ling Zhou, Chunhong Li, and Yi Li

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In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist, Roderick J. Little

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MISSING AT RANDOM AND IGNORABILITY FOR INFERENCES ABOUT SUBSETS OF PARAMETERS WITH MISSING DATA, Roderick J. Little and Sahar Zanganeh

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VARYING INDEX COEFFICIENT MODELS, Shujie Ma and Peter Xuekun Song

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A Latent Variable Transformation Model Approach for Exploring Dysphagia, Anna Snavely, David P. Harrington, and Yi Li

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Covariance-Enhanced Discriminant Analysis, Peirong Xu, Ji Zhu, Lixing Zhu, and Yi Li

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Ultrahigh Dimensional Time Course Feature Selection, Peirong Xu, Lixing Zhu, and Yi Li

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Score Test Variable Screening, Sihai Dave Zhao and Yi Li

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Selection of Latent Variables for Multiple Mixed-Outcome Models, Ling Zhou, Huazhen Lin, Xin-Yuan Song, and Yi Li

Papers from 2012

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The Bayesian Continual Reassessment Method Using a Mixture-of-Uniforms Prior, Thomas M. Braun

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A Phase I Bayesian Adaptive Design to Simultaneously Optimize Dose and Schedule Assignments Both Among and Within Patients, Thomas M. Braun and Jin Zhang

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Analysis of Periodontal Data using Circular Statistics, Samopriyo Maitra and Thomas M. Braun

Papers from 2011

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Proxy Pattern-Mixture Analysis for a Binary Variable Subject to Nonresponse., Rebecca H. Andridge and Roderick J. Little

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Optimization and Simulation of an Evolving Kidney Paired Donation (KPD) Program, Yijiang Li, Jack Kalbfleisch, Peter Xuekun Song, Yan Zhou, Alan Leichtman, and Michael Rees

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Subsample ignorable likelihood for accelerated failure time models with missing predictors, Nanhua Zhang and Roderick J. Little

Papers from 2010

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AN ANALYSIS OF NONIGNORABLE NONRESPONSE IN A SURVEY WITH A ROTATING PANEL DESIGN, Caterina Giusti and Roderick J. Little

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Modeling Menstrual Cycle Length and Variability at the Approach of Menopause Using Bayesian Changepoint Models, Xiaobi Huang, Michael R. Elliott, and Sioban D. Harlow

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Doubly Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models, Sijian Wang, Peter Xuewin Song, and Ji Zhu

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Predicting Treatment Efficacy via Quantitative MRI: A Bayesian Joint Model, Jincao Wu and Tim Johnson

Papers from 2009

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Composite likelihood Bayesian information criteria for model selection in high dimensional data, X Gao and Peter Xuekun Song

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WEIGHTING AND PREDICTION IN SAMPLE SURVEYS, Rod Little

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Longitudinal Image Analysis of Tumor/Brain Change in Contrast Uptake Induced by Radiation, Xiaoxi Zhang, Tim Johnson, Rod Little, and Yue Cao

Papers from 2008

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Parametric Non-Mixture Cure Models for Schedule-Finding of Therapeutic Agents, Thomas M. Braun and Changying A. Liu

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A Bayesian Approach to Modeling Associations Between Pulsatile Hormones, Nichole E. Carlson, Timothy D. Johnson, and Morton B. Brown

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Cluster Mass Inference Method via Random Field Theory, Hui Zhang, Thomas E. Nichols, and Timothy D. Johnson

Papers from 2007

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Bayesian Bivariate Image Analysis with Application to Dual Autoradiography, Timothy D. Johnson and Morand Piert

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Weighted Likelihood Method for Grouped Survival Data in Case-Cohort Studies with Application to HIV Vaccine Trials, Zhiguo Li, Peter B. Gilbert, and Bin Nan

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Bayesian Spatial Modeling of fMRI data: A Multiple-Subject Analysis, Lei Xu, Timothy Johnson, and Thomas Nichols

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A Bayesian Image Analysis of the Change in Tumor/Brain Contrast Uptake Induced by Radiation via Reversible Jump Markov Chain Monte Carlo, Xiaoxi Zhang, Tim Johnson, and Roderick J.A. Little

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Quantitative Magnetic Resonance Image Analysis via the EM Algorithm with Stochastic Variation, Xiaoxi Zhang, Timothy D. Johnson, and Roderick J.A. Little

Papers from 2006

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Simultaneously Optimizing Dose and Schedule of a New Cytotoxic Agent, Thomas M. Braun, Peter F. Thall, Hoang Nguyen, and Marcos de Lima

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Multiple Imputation in the Presence of Outliers, Michael Elliott

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Permutation Methods in Relative Risk Regression Models, Wenyu Jiang and Jack Kalbfleisch

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Detecting Pulsatile Hormone Secretion Events: A Bayesian Approach, Tim Johnson

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Semiparametric Regression of Multi-Dimensional Genetic Pathway Data: Least Squares Kernel Machines and Linear Mixed Models, Dawei Liu, Xihong Lin, and Debashis Ghosh

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Exploiting Gene-Environment Independence for Analysis of Case-Control Studies: An Empirical Bayes Approach to Trade Off between Bias and Efficiency , Bhramar Mukherjee

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Exploiting Gene-Environment Independence for Analysis of Case-Control Studies: An Empirical Bayes Approach to Trade Off between Bias and Efficiency, Bhramar Mukherjee and Nilanjan Chatterjee

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A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes, Bhramar Mukherjee and Ivy Liu

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Analysis of Case-Control Age-at-Onset Data Using a Modified Case-Cohort Method, Bin Nan and Xihong Lin

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Combining Information from Two Surveys to Estimate County-Level Prevalence Rates of Cancer Risk Factors and Screening, Trivellore E. Raghuanthan, Dawei Xie, Nathaniel Schenker, Van Parsons, William W. Davis, Kevin W. Dodd, and Eric J. Feuer

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Generalized Monotonic Functional Mixed Models with Application to Modeling Normal Tissue Complications , Matthew Schipper, Jeremy Taylor, and Xihong Lin

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Doubly Penalized Buckley-James Method for Survival Data with High-Dimensional Covariates, Sijian Wang, Bin Nan, Ji Zhu, and David G. Beer

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Semiparametric Analysis for Correlated Recurrent and Terminal Events, Yining Ye, Jack Kalbfleisch, and Doug E. Schaubel

Papers from 2005

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Semiparametric inferences for association with semi-competing risks data, Debashis Ghosh

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Shrunken p-values for assessing differential expression, with applications to genomic data analysis, Debashis Ghosh

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Simultaneous estimation procedures and multiple testing: a decision-theoretic framework, Debashis Ghosh

Papers from 2004

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Asymptotic Results for Simultaneous Group Sequential Analysis of Rank-Based and Weighted Kaplan-Meier Tests with Paired Survival Data in the Presence of Censoring. Technical report, Adin-Cristian Andrei and Susan Murray

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Semiparametric binary regression under monotonicity constraints, Moulinath Banerjee, Pinaki Biswas, and Debashis Ghosh

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A Bayesian method for finding interactions in genomic studies, Wei Chen, Debashis Ghosh, Trivellore E. Raghuanthan, and Sharon Kardia

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Finding cancer subtypes in microarray data using random projections, Debashis Ghosh

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Mixture models for assessing differential expression in complex tissues using microarray data, Debashis Ghosh

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Model checking techniques for regression models in cancer screening, Debashis Ghosh

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Nonparametric and semiparametric inference for models of tumor size and metastasis, Debashis Ghosh

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Nonparametric methods for analyzing replication origins in genomewide data, Debashis Ghosh

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Semiparametic models and estimation procedures for binormal ROC curves with multiple biomarkers, Debashis Ghosh

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Semiparametric methods for the binormal model with multiple biomarkers, Debashis Ghosh

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Binary isotonic regression procedures, with application to cancer biomarkers, Debashis Ghosh, Moulinath Banerjee, and Pinaki Biswas

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The false discovery rate: a variable selection perspective, Debashis Ghosh, Wei Chen, and Trivellore E. Raghuanthan

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Classification and selection of biomarkers in genomic data using LASSO, Debashis Ghosh and Arul Chinnaiyan

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Covariate adjustment in the analysis of microarray data from clinical studies, Debashis Ghosh and Arul Chinnaiyan

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Semiparametric methods for identification of tumor progression genes from microarray data, Debashis Ghosh and Arul Chinnaiyan

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Multiple Imputation For Interval Censored Data With Auxiliary Variables, Chiu-Hsieh Hsu, Jeremy Taylor, and Susan Murray

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Survival Analysis Using Auxiliary Variables Via Nonparametric Multiple Imputation, Chiu-Hsieh Hsu, Jeremy Taylor, Susan Murray, and Daniel Commenges

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Resampling methods for estimating functions with U-statistic structure, Wenyu Jiang and Jack Kalbfleisch

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A Bayesian Hierarchical Approach to Multirater Correlated ROC Analysis, Tim Johnson and Valen Johnson

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A Bayesian Mixture Model Relating Dose to Critical Organs and Functional Complication in 3D Conformal Radiation Therapy, Tim Johnson, Jeremy Taylor, Randall K. Ten Haken, and Avraham Eisbruch

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A Bayesian Chi-Squared Test for Goodness of Fit, Valen Johnson

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Bayes Factors Based on Test Statistics, Valen Johnson

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Does Weighting for Nonresponse Increase the Variance of Survey Means?, Rod Little and Sonya L. Vartivarian

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Causal Inference in Hybrid Intervention Trials Involving Treatment Choice, Qi Long, Rod Little, and Xihong Lin

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New estimating methods for surrogate outcome data, Bin Nan

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Piecewise Constant Cross-Ratio Estimation for Association in Bivariate Survival Data with Application to Studying Markers of Menopausal Transition, Bin Nan, Xihong Lin, Lynda D. Lisabet, and Sioban Harlow

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Censored Linear Regression for Case-Cohort Studies, Bin Nan, Menggang Yu, and Jack Kalbfleisch

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Individualized predictions of disease progression following radiation therapy for prostate cancer., Jeremy Taylor, Menggang Yu, and Howard M. Sandler

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Monotone Constrained Tensor-product B-spline with application to screening studies, Yue Wang and Jeremy Taylor

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A Hybrid Newton-Type Method for the Linear Regression in Case-cohort Studies, Menggang Yu and Bin Nan

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Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal-Survival-Cure Model, Menggang Yu, Jeremy Taylor, and Howard M. Sandler

Papers from 2003

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Histospline Method in Nonparametric Regression Models with Application to Clustered/Longitudinal Data, Raymond J. Carroll, Peter Hall, Tatiyana V. Apanasovich, and Xihong Lin

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A Fully Bayesian Approach for Combining Multilevel Failure Information in Fault Tree Quantification and Corresponding Optimal Resource Allocation, M Hamada, H. F. Martz, C S. Reese, T. Graves, Valen Johnson, and A. G. Wilson

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Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Non-ignorable Dropout, Joseph W. Hogan, Xihong Lin, and Benjamin A. Herman

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MAXIMUM LIKELIHOOD ESTIMATION OF ORDERED MULTINOMIAL PARAMETERS , Nicholas P. Jewell and Jack Kalbfleisch

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A POPULATION PHARMACOKINETIC MODEL WITH TIME-DEPENDENT COVARIATES MEASURED WITH ERRORS, Lang Lil, Xihong Lin, Mort B. Brown, Suneel Gupta, and Kyung-Hoon Lee

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Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data, Xihong Lin, Naisyin Wang, Alan H. Welsh, and Raymond J. Carroll

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To Model or Not to Model? Competing Modes of Inference for Finite Population Sampling, Rod Little

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Robust Likelihood-based Analysis of Multivariate Data with Missing Values, Rod Little and An Hyonggin

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Selective Multiple Imputation of Keys for Statistical Disclosure Control in Microdata, Rod Little and Fang Liu

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A Varying-Coefficient Cox Model for the Effect of Age at a Marker Event on Age at Menopause, Bin Nan, Xihong Lin, Lynda D. Lisabeth, and Sioban D. Harlow

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An Extended General Location Model for Causal Inference from Data Subject to Noncompliance and Missing Values, Yahong Peng, Rod Little, and Trivellore E. Raghuanthan

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Cluster Stability Scores for Microarray Data in Cancer Studies, Mark Smolkin and Debashis Ghosh

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Maximization by Parts in Likelihood Inference, Peter Xuekun Song, Yanqin Fan, and Jack Kalbfleisch

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On the Formation of Weighting Adjustment Cells for Unit Nonresponse, Sonya Vartivarian and Rod Little

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Weighting Adjustments for Unit Nonresponse with Multiple Outcome Variables, Sonya L. Vartivarian and Rod Little

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Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data, Naisyin Wang, Raymond J. Carroll, and Xihong Lin