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Douglas M. Bates
University of Wisconsin-Madison
89Publications
30H-index
39kCitations
Publications 89
Newest
Published on Mar 26, 2019in Human Genetics 3.93
Hua Zhou18
Estimated H-index: 18
(University of California, Los Angeles),
Janet S. Sinsheimer34
Estimated H-index: 34
(University of California, Los Angeles)
+ 12 AuthorsGordon D. Mosher (University of California, Riverside)
Statistical methods for genome-wide association studies (GWAS) continue to improve. However, the increasing volume and variety of genetic and genomic data make computational speed and ease of data manipulation mandatory in future software. In our view, a collaborative effort of statistical geneticists is required to develop open source software targeted to genetic epidemiology. Our attempt to meet this need is called the OpenMendel project (https://openmendel.github.io). It aims to (1) enable in...
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Published on Jun 1, 2017in Journal of Memory and Language 2.83
Harald Baayen8
Estimated H-index: 8
(University of Tübingen),
Shravan Vasishth22
Estimated H-index: 22
(University of Potsdam)
+ 1 AuthorsDouglas M. Bates30
Estimated H-index: 30
(University of Wisconsin-Madison)
Abstract 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 experimental data. This autocorrelational structure is likely to be a consequence of learning, fatigue, or the ebb and flow of attention within an experiment (the ‘human factor’). Unlike molecules or plots of barley, subjects in psycholinguistic experiments are intelligent beings that depend for their survival...
31 Citations Source Cite
Published on Jun 1, 2017in Journal of Memory and Language 2.83
Hannes Matuschek5
Estimated H-index: 5
(University of Potsdam),
Reinhold Kliegl58
Estimated H-index: 58
(University of Potsdam)
+ 2 AuthorsDouglas M. Bates30
Estimated H-index: 30
(University of Wisconsin-Madison)
Abstract Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many advantages over ANOVA, like ANOVAs, setting them up for data analysis also requires some care. One simple option, when numerically possible, is to fit the full variance-covariance structure of random effects (the maximal model; Barr, Levy, Scheepers & Tily, 2013), presumably to keep Type I error down to the n...
136 Citations Source Cite
Published on Jan 1, 2016
Martin Mächler15
Estimated H-index: 15
,
Douglas M. Bates30
Estimated H-index: 30
Linear algebra is at the core of many areas of statistical computing and from its inception the S language has supported numerical linear algebra via a matrix data type and several functions and operators, such as %*%, qr, chol, and solve. However, these data types and functions do not provide direct access to all of the facilities for efficient manipulation of dense matrices, as provided by the Lapack subroutines, and they do not provide for manipulation of sparse matrices. The Matrix package p...
Published on Nov 10, 2015in arXiv: Applications
Harald Baayen8
Estimated H-index: 8
,
Shravan Vasishth22
Estimated H-index: 22
+ 1 AuthorsReinhold Kliegl58
Estimated H-index: 58
Unlike molecules or plots of barley, subjects in psycholinguistic experiments are intelligent beings that depend for their survival on constant adaptation to their environment. This study presents three data sets documenting the presence of adaptive processes in psychological experiments. These adaptive processes leave a statistical footprint in the form of autocorrelations in the residual error associated with by-subject time series of trial-to-trial responses. Generalized additive mixed models...
5 Citations
Published on Oct 7, 2015in Journal of Statistical Software 22.74
Douglas M. Bates30
Estimated H-index: 30
,
Martin Mächler15
Estimated H-index: 15
+ 1 AuthorsSteven C. Walker10
Estimated H-index: 10
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 for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evalua...
11.1k Citations Source Cite
Published on Oct 6, 2015
Douglas M. Bates30
Estimated H-index: 30
,
Martin Mächler15
Estimated H-index: 15
+ 1 AuthorsSteven C. Walker10
Estimated H-index: 10
151 Citations
Published on Jun 16, 2015in arXiv: Methodology
Douglas M. Bates30
Estimated H-index: 30
,
Reinhold Kliegl58
Estimated H-index: 58
+ 1 AuthorsHarald Baayen8
Estimated H-index: 8
(University of Tübingen)
The analysis of experimental data with mixed-effects models requires decisions about the specification of the appropriate random-effects structure. Recently, Barr, Levy, Scheepers, and Tily, 2013 recommended fitting `maximal' models with all possible random effect components included. Estimation of maximal models, however, may not converge. We show that failure to converge typically is not due to a suboptimal estimation algorithm, but is a consequence of attempting to fit a model that is too com...
109 Citations
Published on Sep 29, 2014
Douglas M. Bates30
Estimated H-index: 30
(University of Wisconsin-Madison)
The analysis of longitudinal data may require a mixed-effects model, incorporating parameters for fixed effects associated with the whole population and also parameters describing distributions of random effects associated with individual subjects. These may enter the model nonlinearly, as in compartment models used in pharmacokinetics. Maximum likelihood estimation is carried out by numerical optimization. Keywords: repeated measures; growth curves; pharmacokinetics; compartment models; random ...
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Published on Jan 1, 2014
Vincent J. Carey60
Estimated H-index: 60
,
Douglas M. Bates30
Estimated H-index: 30
+ 17 AuthorsJonathan Casper10
Estimated H-index: 10
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