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...
Papers from 2011
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
Papers from 2010
AN ANALYSIS OF NONIGNORABLE NONRESPONSE IN A SURVEY WITH A ROTATING PANEL DESIGN, Caterina Giusti and Roderick J. Little
Modeling Menstrual Cycle Length and Variability at the Approach of Menopause Using Bayesian Changepoint Models, Xiaobi Huang, Michael R. Elliott, and Sioban D. Harlow
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
Predicting Treatment Efficacy via Quantitative MRI: A Bayesian Joint Model, Jincao Wu and Tim Johnson
Papers from 2009
Composite likelihood Bayesian information criteria for model selection in high dimensional data, X Gao and Peter Xuekun Song
WEIGHTING AND PREDICTION IN SAMPLE SURVEYS, Rod Little
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
Parametric Non-Mixture Cure Models for Schedule-Finding of Therapeutic Agents, Thomas M. Braun and Changying A. Liu
A Bayesian Approach to Modeling Associations Between Pulsatile Hormones, Nichole E. Carlson, Timothy D. Johnson, and Morton B. Brown
Cluster Mass Inference Method via Random Field Theory, Hui Zhang, Thomas E. Nichols, and Timothy D. Johnson
Papers from 2007
Bayesian Bivariate Image Analysis with Application to Dual Autoradiography, Timothy D. Johnson and Morand Piert
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
Bayesian Spatial Modeling of fMRI data: A Multiple-Subject Analysis, Lei Xu, Timothy Johnson, and Thomas Nichols
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
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
Simultaneously Optimizing Dose and Schedule of a New Cytotoxic Agent, Thomas M. Braun, Peter F. Thall, Hoang Nguyen, and Marcos de Lima
Multiple Imputation in the Presence of Outliers, Michael Elliott
Permutation Methods in Relative Risk Regression Models, Wenyu Jiang and Jack Kalbfleisch
Detecting Pulsatile Hormone Secretion Events: A Bayesian Approach, Tim Johnson
Semiparametric Regression of Multi-Dimensional Genetic Pathway Data: Least Squares Kernel Machines and Linear Mixed Models, Dawei Liu, Xihong Lin, and Debashis Ghosh
Exploiting Gene-Environment Independence for Analysis of Case-Control Studies: An Empirical Bayes Approach to Trade Off between Bias and Efficiency , Bhramar Mukherjee
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
A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes, Bhramar Mukherjee and Ivy Liu
Analysis of Case-Control Age-at-Onset Data Using a Modified Case-Cohort Method, Bin Nan and Xihong Lin
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
Generalized Monotonic Functional Mixed Models with Application to Modeling Normal Tissue Complications , Matthew Schipper, Jeremy Taylor, and Xihong Lin
Doubly Penalized Buckley-James Method for Survival Data with High-Dimensional Covariates, Sijian Wang, Bin Nan, Ji Zhu, and David G. Beer
Semiparametric Analysis for Correlated Recurrent and Terminal Events, Yining Ye, Jack Kalbfleisch, and Doug E. Schaubel
Papers from 2005
Semiparametric inferences for association with semi-competing risks data, Debashis Ghosh
Shrunken p-values for assessing differential expression, with applications to genomic data analysis, Debashis Ghosh
Simultaneous estimation procedures and multiple testing: a decision-theoretic framework, Debashis Ghosh
Papers from 2004
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
Semiparametric binary regression under monotonicity constraints, Moulinath Banerjee, Pinaki Biswas, and Debashis Ghosh
A Bayesian method for finding interactions in genomic studies, Wei Chen, Debashis Ghosh, Trivellore E. Raghuanthan, and Sharon Kardia
Finding cancer subtypes in microarray data using random projections, Debashis Ghosh
Mixture models for assessing differential expression in complex tissues using microarray data, Debashis Ghosh
Model checking techniques for regression models in cancer screening, Debashis Ghosh
Nonparametric and semiparametric inference for models of tumor size and metastasis, Debashis Ghosh
Nonparametric methods for analyzing replication origins in genomewide data, Debashis Ghosh
Semiparametic models and estimation procedures for binormal ROC curves with multiple biomarkers, Debashis Ghosh
Semiparametric methods for the binormal model with multiple biomarkers, Debashis Ghosh
Binary isotonic regression procedures, with application to cancer biomarkers, Debashis Ghosh, Moulinath Banerjee, and Pinaki Biswas
The false discovery rate: a variable selection perspective, Debashis Ghosh, Wei Chen, and Trivellore E. Raghuanthan
Classification and selection of biomarkers in genomic data using LASSO, Debashis Ghosh and Arul Chinnaiyan
Covariate adjustment in the analysis of microarray data from clinical studies, Debashis Ghosh and Arul Chinnaiyan
Semiparametric methods for identification of tumor progression genes from microarray data, Debashis Ghosh and Arul Chinnaiyan
Multiple Imputation For Interval Censored Data With Auxiliary Variables, Chiu-Hsieh Hsu, Jeremy Taylor, and Susan Murray
Survival Analysis Using Auxiliary Variables Via Nonparametric Multiple Imputation, Chiu-Hsieh Hsu, Jeremy Taylor, Susan Murray, and Daniel Commenges
Resampling methods for estimating functions with U-statistic structure, Wenyu Jiang and Jack Kalbfleisch
A Bayesian Hierarchical Approach to Multirater Correlated ROC Analysis, Tim Johnson and Valen Johnson
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
A Bayesian Chi-Squared Test for Goodness of Fit, Valen Johnson
Bayes Factors Based on Test Statistics, Valen Johnson
Does Weighting for Nonresponse Increase the Variance of Survey Means?, Rod Little and Sonya L. Vartivarian
Causal Inference in Hybrid Intervention Trials Involving Treatment Choice, Qi Long, Rod Little, and Xihong Lin
New estimating methods for surrogate outcome data, Bin Nan
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
Censored Linear Regression for Case-Cohort Studies, Bin Nan, Menggang Yu, and Jack Kalbfleisch
Individualized predictions of disease progression following radiation therapy for prostate cancer., Jeremy Taylor, Menggang Yu, and Howard M. Sandler
Monotone Constrained Tensor-product B-spline with application to screening studies, Yue Wang and Jeremy Taylor
A Hybrid Newton-Type Method for the Linear Regression in Case-cohort Studies, Menggang Yu and Bin Nan
Individual Prediction in Prostate Cancer Studies Using a Joint Longitudinal-Survival-Cure Model, Menggang Yu, Jeremy Taylor, and Howard M. Sandler
Papers from 2003
Histospline Method in Nonparametric Regression Models with Application to Clustered/Longitudinal Data, Raymond J. Carroll, Peter Hall, Tatiyana V. Apanasovich, and Xihong Lin
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
Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Non-ignorable Dropout, Joseph W. Hogan, Xihong Lin, and Benjamin A. Herman
MAXIMUM LIKELIHOOD ESTIMATION OF ORDERED MULTINOMIAL PARAMETERS , Nicholas P. Jewell and Jack Kalbfleisch
A POPULATION PHARMACOKINETIC MODEL WITH TIME-DEPENDENT COVARIATES MEASURED WITH ERRORS, Lang Lil, Xihong Lin, Mort B. Brown, Suneel Gupta, and Kyung-Hoon Lee
Equivalent Kernels of Smoothing Splines in Nonparametric Regression for Clustered/Longitudinal Data, Xihong Lin, Naisyin Wang, Alan H. Welsh, and Raymond J. Carroll
To Model or Not to Model? Competing Modes of Inference for Finite Population Sampling, Rod Little
Robust Likelihood-based Analysis of Multivariate Data with Missing Values, Rod Little and An Hyonggin
Selective Multiple Imputation of Keys for Statistical Disclosure Control in Microdata, Rod Little and Fang Liu
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
An Extended General Location Model for Causal Inference from Data Subject to Noncompliance and Missing Values, Yahong Peng, Rod Little, and Trivellore E. Raghuanthan
Cluster Stability Scores for Microarray Data in Cancer Studies, Mark Smolkin and Debashis Ghosh
Maximization by Parts in Likelihood Inference, Peter Xuekun Song, Yanqin Fan, and Jack Kalbfleisch
On the Formation of Weighting Adjustment Cells for Unit Nonresponse, Sonya Vartivarian and Rod Little
Weighting Adjustments for Unit Nonresponse with Multiple Outcome Variables, Sonya L. Vartivarian and Rod Little
Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data, Naisyin Wang, Raymond J. Carroll, and Xihong Lin
Semiparametric Regression Models with Missing Data: the Mathematics in the Work of Robins et al., Menggang Yu and Bin Nan
Inference for the Population Total from Probability-Proportional-to-Size Samples Based on Predictions from a Penalized Spline Nonparametric Model, Hui Zheng and Rod Little
Penalized Spline Nonparametric Mixed Models for Inference About a Finite Population Mean from Two-Stage Samples, Hui Zheng and Rod Little