Biometry Research Group

Software, Data Sets, Technical Reports

Statistical Software

• Composite Linear Models
• Conditional Logistic Regression
• Cox Regression for Survey Data
• Double Sampling for Survival Analysis
• Evaluating a New Marker for Risk Prediction
• Finding Biologically Relevant Response Patterns in High-throughput Experiments
• Loglinear Model for Haplotype Effects
• Missing Binary Outcome
• Partial Testing Design
• Power Calculations
• Predicting Treatment Effect from Surrogate Endpoints and Historical Trials: An Extrapolation Involving Probabilities of a Binary Outcome or Survival to a Specific Time
• SaTScan-Spatial and Space-Time Scan Statistics
• Sensitivity Analysis
• Simple and Flexible Classification of Gene Expression Microarrays Via Swirls and Ripples
• Survival Analysis

Data Sets

• Brain Cancer in New Mexico
• Lung Cancer in New Mexico

Technical Reports

Technical Report: CLM Formulation for Marginal Regression (ps, 41kb)
Reference: Baker S. Marginal regression for repeated categorical data with outcome subject to nonignorable nonresponses: Biometrics 1995;51:1042-1052.

Technical Appendix to Analyzing a Randomized Cancer Prevention Trial with a Missing Binary Outcome, an Auxilliary Variable, and All-or-None Compliance (pdf, 106kb)
Reference: Baker SG. Analyzing a randomized cancer prevention trial with a missing binary outome, an auxiliary variable, and all-or-none compliance. Journal of the American Statistical Association 2000;95:43-50.

Technical Report: Method-of-Moment Computations for Meta-Analysis Using Summary (Trial-Level) Data When Applied to Binary Surrogate and True Endpoints (pdf, 104kb)
Reference: Baker SG. A simple meta-analytic approach for using a binary surrogate endpoint to predict the effect of intervention on true endpoint. Biostatistics 2005;in press.

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