Longitudinal behavioral intervention trials to reduce HIV transmission risk collect complex multilevel and multivariate data longitudinally for each subject with important correlation structures ...
Role of CYP3A4 phenotyping by midazolam clearance in predicting irinotecan pharmacokinetics This is an ASCO Meeting Abstract from the 2004 ASCO Annual Meeting. This abstract does not include a full ...
We adapt a semi-Bayesian hierarchical modeling framework to jointly characterize the space–time variability of seasonal precipitation totals and precipitation extremes across the Northern Great Plains ...
Questionnaires that include items eliciting count responses are becoming increasingly common in psychology. This study proposes methodological techniques to overcome some of the challenges associated ...
Predictive modeling could revolutionize drug manufacturing by helping biopharma organizations achieve right-first-time scale-up,” says Tim Gardner, PhD, Founder and CEO of Riffyn. Biopharmaceutical ...
High performance liquid chromatography (HPLC) is a widely used and well-established technique, routinely employed by thousands of analytical scientists worldwide. Nonetheless, certain ...
Extending the Eaves et al Markov model for genetically informative data to the multivariate case is described. At the time of writing, this model has not yet been implemented in a software script, so ...
Derek Weix, MS, PhD grew up in Texas, where he earned a B.A. in mathematics from Trinity University in San Antonio and an MS and PhD in statistical science from Baylor University in Waco. His research ...
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