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