In basic neuroscience research, data are often clustered or collected with repeated
measures, hence correlated. The most widely used methods such as t test and ANOVA do …

The stepped wedge cluster randomized design has received increasing attention in
pragmatic clinical trials and implementation science research. The key feature of the design …

Linear mixed-effect models (LMMs) are being increasingly widely used in psychology to
analyse multi-level research designs. This feature allows LMMs to address some of the …

We developed a linear-time algorithm applicable to a large class of trait evolution models,
for efficient likelihood calculations and parameter inference on very large trees. Our …

Objective: The aim of this study was to identify a mortality benefit with the use of whole blood
(WB) as part of the resuscitation of bleeding trauma patients. Background: Blood component …

Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on
a decade of the authors' collaborative work in age-period-cohort (APC) analysis. Within a …

Researchers in comparative research increasingly use multilevel models to test effects of
country‐level factors on individual behavior and preferences. However, the asymptotic …

The arcsine square root transformation has long been standard procedure when analyzing
proportional data in ecology, with applications in data sets containing binomial and non …

" The level is appropriate for an upper-level undergraduate or graduate-level statistics major.
Sampling: Design and Analysis (SDA) will also benefit a non-statistics major with a desire to …

Generalized linear mixed models (GLMMs) estimate fixed and random effects and are
especially useful when the dependent variable is binary, ordinal, count or quantitative but …