Biostatistics
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Subject Areas on Research
- A comparison of two methods of estimating propensity scores after multiple imputation.
- A divide-and-conquer strategy to solve the out-of-memory problem of processing thousands of Affymetrix microarrays.
- A min-max combination of biomarkers to improve diagnostic accuracy.
- A phylogenetic transform enhances analysis of compositional microbiota data.
- A spatiotemporal quantile regression model for emergency department expenditures.
- Accommodating the ecological fallacy in disease mapping in the absence of individual exposures.
- Adjusting for misclassification in a stratified biomarker clinical trial.
- Advances in data analytic methods for evaluating treatment outcome and mechanisms of change: introduction to the special issue.
- Bayesian analysis of multi-type recurrent events and dependent termination with nonparametric covariate functions.
- Challenges to accrual predictions to phase III cancer clinical trials: a survey of study chairs and lead statisticians of 248 NCI-sponsored trials.
- Developing educational resources for population genetics in R: an open and collaborative approach.
- Direct and flexible marginal inference for semicontinuous data.
- Guidelines for Genome-Scale Analysis of Biological Rhythms.
- Kernel-based logistic regression model for protein sequence without vectorialization.
- Mixed model analysis of censored longitudinal data with flexible random-effects density.
- Reporting standards for literature searches and report inclusion criteria: making research syntheses more transparent and easy to replicate.
- Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.
- Statistical lessons learned for designing cluster randomized pragmatic clinical trials from the NIH Health Care Systems Collaboratory Biostatistics and Design Core.
- Towards an integrated ecosystem of R packages for the analysis of population genetic data.
- Using pilot data to size a two-arm randomized trial to find a nearly optimal personalized treatment strategy.
- minotaur: A platform for the analysis and visualization of multivariate results from genome scans with R Shiny.
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Keywords of People
- Chakraborty, Hrishikesh, Assoc Dir, DCRI, Duke Clinical Research Institute
- Chiswell, Karen, Statistical Scientist, Duke Clinical Research Institute
- Cui, Xiaoxing, Research Assistant, Ph D Student, Nicholas School of the Environment
- Herring, Amy H, Sara and Charles Ayres Professor, Statistical Science
- Ma, Li, Associate Professor of Statistical Science, Statistical Science
- Pan, William Kuang-Yao, Associate Professor of Global Environmental Health, Environmental Sciences and Policy
- Rockhold, Frank Wesley, Professor of Biostatistics & Bioinformatics, Biostatistics & Bioinformatics
- Sprinkle, Shanna, House Staff, Surgery
- Troy, Jesse David, Assistant Professor of Pediatrics, Pediatrics, Blood and Marrow Transplantation