During its 330 years of history, parametric distributions have been useful for survival and
reliability analyses. In this paper, we comprehensively review the historical backgrounds …

The envelope spike (S) proteins of MERS-CoV and SARS-CoV determine the virus host
tropism and entry into host cells, and constitute a promising target for the development of …

Background Although null hypothesis significance testing (NHST) is the agreed gold
standard in medical decision making and the most widespread inferential framework used in …

The delivery of operational clean energy projects at scales is essential for addressing
climate change. Carbon capture and sequestration (CCUS) is among the most important …

Many randomized trials evaluate an intervention effect on time‐to‐event outcomes.
Individual participant data (IPD) from such trials can be obtained and combined in a so …

Background Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost
importance. Although genetic studies have identified AD-associated SNPs in APOE and …

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework
for statistical modelling, with an emphasis on numerical and graphical methods. This new …

Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects
Models Mixed Effects Models for the Population Approach: Models, Tasks, Methods and …

This is an international multicentre study aimed at evaluating the combined value of
dopaminergic neuroimaging and clinical features in predicting future phenoconversion of …

Bayesian additive regression trees (BART) provide a framework for flexible nonparametric
modeling of relationships of covariates to outcomes. Recently, BART models have been …