Faculty researchers in the Department of Biostatistics and Applied Mathematics at The University of Texas M. D. Anderson Cancer Center participate in the investigation and development of biostatistical theory and methodology and the application of such efforts to collaborative studies in basic science and clinical research related to the prevention, screening, diagnosis, treatment, analysis, and understanding of cancer. Research sections in the department include biostatistics, bioinformatics, biomathematics, and health services.
Biostatisticians investigate the theory and application of Bayesian statistics and inference; sequential design and analysis of clinical trials and basic science experiments; survival analysis; nonparametric methods; nonlinear regression; longitudinal data analysis; translational cancer prevention study design and analysis; dynamic processes of cancer screening procedures; the pharmacokinetics and pharmacodynamics of anticancer agents; and computer-assisted image interpretation.
Specialists in bioinformatics investigate methods to extract meaningful biologic information from high-throughput genomic data, involving statistical, mathematical, and computational modeling of gene expression profiles, cDNA microarrays and SAGE.
The biomathematics specialists formulate mathematical models of complex biologic systems, with a particular focus on carcinogenesis; cellular and molecular responses to radiation therapy; and structural bioinformatics, involving molecular docking, protein folding, and ligand binding.
Health services researchers investigate the distribution and determinants of health care quality, treatment outcomes, and access to cancer care services and supportive care; conduct cost-effectiveness analyses; and model the relationships between cancer and medical decision making, pharmacoeconomics, and labor economics.
Papers from 2011
Basic properties of the soft maximum, John D. Cook
Random inequalities between survival and uniform distributions, John D. Cook
Block Adaptive Randomization, John D. Cook
Skeptical and Optimistic Robust Priors for Clinical Trials, John D. Cook, Jairo A. Fuquene Mr, and Luis R. Pericchi
Bayesian Model Selection in High-dimensional Settings, Valen Johnson and David Rossell
Robust Classification of Functional and Quantitative Image Data using Functional Mixed Models, Hongxiao Zhu, Philip J. Brown, and Jeffrey S. Morris
Robust, Adaptive Functional Regression in Functional Mixed Model Framework, Hongxiao Zhu, Phil Brown, and Jeffrey S. Morris
Papers from 2010
An inequality for the product of positive random variables
Asymptotic results for Normal-Cauchy model, John D. Cook
Determining distribution parameters from quantiles, John D. Cook
Upper bounds on non-central chi-squared tails and truncated normal moments, John D. Cook
Goodness-of-fit Diagnostics for Bayesian Hierarchical Models, Valen Johnson
Consistent Bayesian model selection in p<=n settings, Valen E. Johnson
Automated Analysis of Quantitative Image Data Using Isomorphic Functional Mixed Models with Application to Proteomics Data, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, Richard C. Herrick, Pietro Sanna, and Howard B. Gutstein
The King’s Foot of Patient Reported Outcomes: Current Practices and New Developments for the Measurement of Change, Richard J. Swartz, Ethan Basch, Li Cai, P H, Lori Mcleod, Tito Mendoza, Bruce Rapkin, Carolyn Schwartz, and The SAMSI Psychometric Program Longitudinal Assessment of Patient Reported Outcomes Working Group
Papers from 2009
Exact calculation of inequality probabilities, John D. Cook
Inequality Probabilities for Folded Normal Random Variables, John D. Cook
Utility-Based Optimization of Combination Therapy Using Ordinal Toxicity and Efficacy in Phase I/II Trials, Nadine Houede, Peter F. Thall, Hoang Nguyen, Xavier Paoletti, and Andrew KRAMAR
Comparison of Pinnacle and SameSpots for Spot Quantification and Differential Expression in 2-Dimensional Gel Electrophoresis Studies, Jeffrey S. Morris, Brittan N. Clark, Wei Wei, and Howard B. Gutstein
Bayesian Adaptive Sequential Item Selection (BASIS): An Opmtimal Approach to Item Selection, Richard J Swartz, Seung Choi, and Richard C. Herrick
Papers from 2008
Numerical Computation of Stochastic Inequality Probabilities
A Bayesian Chi-Squared Goodness-of-Fit Test for Censored Data Models, Jing Cao, Ann Moosman, and Valen E. Johnson
Exact Operating Characteristics for Single-arm Phase II Trials, John D. Cook
A Case for Robust Bayesian priors with Applications to Binary Clinical Trials, Jairo A. Fuquene P., John D. Cook, and Luis Raul Pericchi
Bayesian Design of Single-Arm Phase II Clinical Trials with Continuous Monitoring, Valen E. Johnson and John D. Cook
Non-Local Prior Densities for Default Bayesian Hypothesis Tests, Valen E. Johnson and David Rossell
A Bayesian Hierarchical Mixture Model for Platelet Derived Growth Factor Receptor Phosphorylation to Improve Estimation of Progression-free Survival in Prostate Cancer, Satochi Morita, Peter F. Thall, Benjamin Bekele, and Paul Mathew
Practical Model-Based Dose-Finding In Early Phase Clinical Trials: Optimizing tPA Dose For Treatment Of Ischemic Stroke In Children, Harry T. Whelan, John D. Cook, Catherine M. Amlie-Lefond, Collin A. Hovinga, Anthony K. Chan, Rebecca N. Ichord, Gabrielle A. deVeber, and Peter F. Thall
Papers from 2007
Comparing Methods of Tuning Adaptively Randomized Trials, John D. Cook
The Effect of Population Drift on Adaptively Randomized Trials, John D. Cook
Log-linear Models for Gene Association, Jianhua Hu and Valen E. Johnson
Bayesian inference in semiparametric mixed models for longitudinal data, Yisheng Li, Xihong Lin, and Peter Mueller
Determining the Effective Sample Size of a Parametric Prior, Satochi Morita, Peter F. Thall, and Peter Mueller
A Review of Phase 2-3 Clinical Trial Designs, Peter F. Thall
Patient-Specific Dose-Finding Based on Bivariate Outcomes and Covariates, Peter F. Thall, Hoang Q. Nguyen, and Elihu H. Estey
Bayesian and Frequentist Two-Stage Treatment Strategies Based on Sequential Failure Times Subject to Interval Censoring, Peter F. Thall, Leiko H. Wooten, Christopher J. Logothetis, Randall E. Millikan, and Nizar M. Tannir
Accounting for Patient Heterogeneity in Phase II Clinical Trials, Jay K. Wathen, Peter F. Thall, John D. Cook, and Elihu H. Estey
Papers from 2006
Efficacy-Toxicity trade-offs based on Lp norms, John D. Cook
Numerical Evaluation of Gamma Inequalities, John D. Cook
Understanding the Exponential Tuning Parameter in Adaptively Randomized Trials, John D. Cook
Practical Dose-finding in Phase I Clinical Trials Based on Toxicity Probability Intervals, Yuan Ji, Yisheng Li, and Benjamin Bekele
Bayesian Model Assessment Using Pivotal Quantities, Valen E. Johnson
Bayesian Aggregation Error?, Valen E. Johnson
Dose-Schedule Finding in Phase I/II Clinical Trials Using Bayesian Isotonic Transformation, Yisheng Li, Benjamin Bekele, Yuan Ji, and John D. Cook
Bayesian Analysis of Mass Spectrometry Proteomics Data using Wavelet Based Functional Mixed Models, Jeffrey S. Morris, Philip J. Brown, Richard C. Herrick, Keith A. Baggerly, and Kevin R. Coombes
Some Geometric Methods for Constructing Decision Criteria Based On Two-Dimensional Parameters, Peter F. Thall
Practical Bayesian Adaptive Randomization in Clinical Trials, Peter F. Thall and Jay K. Wathen
Bayesian Hypothesis Tests Using Nonparametric Statistics, Ying Yuan and Valen E. Johnson
Papers from 2005
Continuous Bayesian adaptive randomization based on event times with covariates, Ying Kuen Cheung, Lurdes Y. T. Inoue, J. Kyle Wathen, and Peter F. Thall
Bayesian Model Selection Using Test Statistics, Jianhua Hu and Valen E. Johnson
A New Dose-Assignment Rule and Bayesian Design in Phase I Oncology Trials, Yuan Ji, Yisheng Li, and Benjamin Bekele
Penalized Maximum Difference Dose - A New Criterion for Phase I/II Dose-Finding Trials, Yuan Ji, Yisheng Li, and Benjamin Bekele
Bayesian Dose-Finding Designs Based on a New Statistical Framework for Phase I Clinical Trials, Yuan Ji, Yisheng Li, and Guosheng Yin
Bayesian Mixture Models for Complex High-Dimensional Count Data in Phage Display Experiments, Yuan Ji, Guosheng Yin, Kam-Wah Tsui, Mikhail G. Kolonin, Jessica Sun, Wadih Arap, Renata Pasqualini, and Kim-Anh Do
A Note on the Consistency and Interpretation of Bayes Factors Based, Valen Johnson
Properties of Bayes Factors Based on Test Statistics, Valen Johnson
An Empirical Study of Univariate and GA-Based Feature Selection in Binary Classification with Microarray Data, Michael L. Lecocke and Kenneth Hess
A Hierarchical Model for the Reliability of an Anti-aircraft Missile System, C. Shane Reese, Valen E. Johnson, Michael Hamada, and Alyson Wilson
Some Ethical Issues in Phase II Trials in Acute Leukemia, Peter F. Thall and Elihu H. Estey
Bayesian Sensitivity Analyses of Confounded Treatment Effects, Peter F. Thall and Xuemei Wang
A Geometric Approach to Comparing Treatments for Rapidly Fatal Diseases, Peter F. Thall, Leiko H. Wooten, and Elizabeth J. Shpall
Monitoring Event Times in Early Phase Clinical Trials: Some Practical Issues, Peter F. Thall, Leiko H. Wooten, and Nizar M. Tannir
Papers from 2004
Learning Curves in Classification with Microarray Data, Kenneth R. Hess and David L. Gold
Bayes Factors Based on Test Statistics, Valen Johnson
Combining Bayesian Chi-Squared Statistics, Valen Johnson
An Empirical Study of Optimism and Selection Bias in Binary Classification with Microarray Data, Michael L. Lecocke and Kenneth Hess