2.1k citations · 3.3k across the 4 of their papers we have counts for
5 papers
OPENMENDEL: A Cooperative Programming Project for Statistical Genetics
Hua Zhou, Janet S. Sinsheimer, Christopher A. German +12
Statistical methods for genomewide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed a…
The cave of Shadows. Addressing the human factor with generalized additive mixed models
Harald Baayen, Shravan Vasishth, Douglas Bates +1
Generalized additive mixed models are introduced as an extension of the generalized linear mixed model which makes it possible to deal with temporal autocorrelational structure in…
Balancing Type I Error and Power in Linear Mixed Models
Hannes Matuschek, Reinhold Kliegl, Shravan Vasishth +2
Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many…
Parsimonious Mixed Models
Douglas Bates, Reinhold Kliegl, Shravan Vasishth +1
The analysis of experimental data with mixed-effects models requires decisions about the specification of the appropriate random-effects structure. Recently, Barr, Levy, Scheepers,…
Fitting Linear Mixed-Effects Models using lme4
Douglas Bates, Martin Mächler, Ben Bolker +1
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package…