Welcome to the University of Pennsylvania Biostatistics Working Papers site. The papers available under this site include a selection of recent research conducted by our Penn Biostatistics faculty. Formed in 1997, the Division of Biostatistics in the Department of Biostatistics and Epidemiology within the Penn School of Medicine has grown to its current size of 25 faculty, with expected further expansion. In addition to conducting methodological research, the Penn Biostatistics faculty plays a crucial role in the collaborative research process, from design of the research plan through analysis and publication of study results. Both our methodological and collaborative research efforts are primarily funded through grants from the National Institute of Heath and private industries. The Division also holds several training grants from NIH to prepare our next generation of biostatisticians. Further information about the department may be found at dbe.med.upenn.edu/biostat-research/.
Submissions from 2016
Maximum Likelihood Based Analysis of Equally Spaced Longitudinal Count Data with Specified Marginal Means, First-order Antedependence, and Linear Conditional Expectations, Victoria Gamerman, Matthew Guerra, and Justine Shults
Distance-Based Analysis of Variance for Brain Connectivity, Russell T. Shinohara, Haochang Shou, Marco Carone, Robert Schultz, Birkan Tunc, Drew Parker, and Ragini Verma
Simulating Longer Vectors of Correlated Binary Random Variables via Multinomial Sampling, Justine Shults
Interpretable High-Dimensional Inference Via Score Maximization with an Application in Neuroimaging, Simon N. Vandekar, Philip T. Reiss, and Russell T. Shinohara
Submissions from 2015
Removing inter-subject technical variability in magnetic resonance imaging studies, Jean-Philippe Fortin, Elizabeth M. Sweeney, John Muschelli, Ciprian M. Crainiceanu, Russell T. Shinohara, and Alzheimer’s Disease Neuroimaging Initiative
Nonparametric methods for doubly robust estimation of continuous treatment effects, Edward H. Kennedy, Zongming Ma, Matthew D. McHugh, and Dylan S. Small
Addressing Confounding in Predictive Models with an Application to Neuroimaging, Kristin A. Linn, Bilwaj Gaonkar, Jimit Doshi, Christos Davatzikos, and Russell T. Shinohara
Control-Group Feature Normalization for Multivariate Pattern Analysis Using the Support Vector Machine, Kristin A. Linn, Bilwaj Gaonkar, Jimit Doshi, Christos Davatzikos, and Russell T. Shinohara
Statistical Estimation of T1 Relaxation Time Using Conventional Magnetic Resonance Imaging, Amanda Mejia, Elizabeth M. Sweeney, Blake Dewey, Govind Nair, Pascal Sati, Colin Shea, Daniel S. Reich, and Russell T. Shinohara
Statistical estimation of white matter microstructure from conventional MRI, Leah Suttner, Amanda Mejia, Blake Dewey, Pascal Sati, Daniel S. Reich, and Russell T. Shinohara
Submissions from 2014
Regression modeling of longitudinal binary outcomes with outcome-dependent observation times, Kay See Tan, Andrea B. Troxel, Stephen E. Kimmel, Kevin G. Volpp, and Benjamin French
Submissions from 2013
On the Simulation of Longitudinal Discrete Data with Specified Marginal Means and First-Order Antedependence, Matthew Guerra and Justine Shults
Normalization Techniques for Statistical Inference from Magnetic Resonance Imaging, Russell T. Shinohara, Elizabeth M. Sweeney, Jeff Goldsmith, Navid Shiee, Farrah J. Mateen, Peter A. Calabresi, Samson Jarso, Dzung L. Pham, Daniel S. Reich, and Ciprian M. Crainiceanu
Submissions from 2010
Bayesian Methods for Network-Structured Genomics Data, Stefano Monni and Hongzhe Li
Submissions from 2009
A Hidden Markov Random Field Model for Genome-wide Association Studies, Hongzhe Li, Zhi Wei, and J M. Maris
"Implementation of quasi-least squares With the R package qlspack", Jichun Xie and Justine Shults
Quasi-Least Squares with Mixed Linear Correlation Structures, Jichun Xie, Justine Shults, Jon Peet, Dwight Stambolian, and Mary F. Cotch
Submissions from 2008
On the designation of the patterned associations for longitudinal Bernoulli data: weight matrix versus true correlation structure?, Hanjoo Kim, Joseph M. Hilbe, and Justine Shults
"%QLS SAS Macro: A SAS macro for Analysis of Longitudinal Data Using Quasi-Least Squares"., Hanjoo Kim and Justine Shults
Analysis of Adverse Events in Drug Safety: A Multivariate Approach Using Stratified Quasi-least Squares, Hanjoo Kim, Justine Shults, Scott Patterson, and Robert Goldberg-Alberts
A Network-constrained Empirical Bayes Method for Analysis of Genomic Data, Caiyan Li, Zhi Wei, and Hongzhe Li
U-Statistics-based Tests for Multiple Genes in Genetic Association Studies, Zhi Wei, Mingyao Li PhD, Timothy Rebbeck, and Hongzhe Li
Incorporation of Genetic Pathway Information into Analysis of Multivariate Gene Expression Data, Zhi Wei, Jane E. Minturn, Eric Rappaport, Garrett Brodeur, and Hongzhe Li
Submissions from 2007
Methodological Issues in the Study of the Effects of Hemoglobin Variability, Marshall Joffe, Wei Yang, Steve Brunelli, and Harold Feldman
Network-constrained Regularization and Variable Selection for Analysis of Genomic Data, Caiyan Li and Hongzhe Li
Statistical Methods for Inference of Genetic Networks and Regulatory Modules, Hongzhe Li
Vertex Clustering in Random Graphs via Reversible Jump Markov Chain Monte Carlo, Stefano Monni and Hongzhe Li
Analysis of multi-level correlated data in the framework of generalized estimating equations via xtmultcorr procedures in Stata and qls functions in Matlab, Justine Shults and Sarah J. Ratcliffe
Group SCAD Regression Analysis for Microarray Time Course Gene Expression Data, Lifeng Wang, Guang Chen, and Hongzhe Li PhD
Variable Selection for Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements, Lifeng Wang and Hongzhe Li
A Hidden Spatial-temporal Markov Random Field Model for Network-based Analysis of Time Course Gene Expression Data, Zhi Wei and Hongzhe Li
A Markov Random Field Model for Network-based Analysis of Genomic Data, Zhi Wei and HongZhe Li
Submissions from 2006
Conditional Likelihood Methods for Haplotype-based Association Analysis Using Matched Case-Control Data, Jinbo Chen and Carmen Rodriguez
Censored Data Regression in High-Dimension and Low-Sample Size Settings For Genomic Applications, Hongzhe Li
Survival Analysis Methods in Genetic Epidemiology, Hongzhe Li
Longitudinal Nested Compliance Class Model in the Presence of Time-Varying Noncompliance, Julia Y. Lin, Thomas R. TenHave, and Michael R. Elliott
Nested Markov Compliance Class Model in the Presence of Time-Varying Noncompliance, Julia Y. Lin, Thomas R. TenHave, and Michael R. Elliott
Group Additive Regression Models for Genomic Data Analysis, Yihui Luan and Hongzhe Li
Sensitivity of the Hazard Ratio to Non-Ignorable Treatment Assignment in an Observational Study, Nandita Mitra and Daniel F. Heitjan
Improved generalized estimating equation analysis via xtqls for implementation of quasi-least squares in Stata, Justine Shults, Sarah J. Ratcliffe, and Mary Leonard
On The Violation Of Bounds For The Correlation In Generalized Estimating Equation Analyses Of Binary Data From Longitudinal Trials, Justine Shults, Wenguang Sun, Xin Tu, and Jay Amsterdam
Use of Unbiased Estimating Equations to Estimate Correlation in Generalized Estimating Equation Analysis of Longitudinal Trials, Wenguang Sun, Justine Shults, and Mary Leonard
Nonparametric Pathway-Based Regression Models for Analysis of Genomic Data, Zhi Wei and Hongzhe Li
Submissions from 2005
Gradient Directed Regularization for Sparse Gaussian Concentration Graphs, with Applications to Inference of Genetic Networks, Hongzhe Li and Jiang Gui
Casual Mediation Analyses with Structural Mean Models, Thomas R. TenHave, Marshall Joffe, Kevin Lynch, Greg Brown, and Stephen Maisto