David Kellen
Statistics and Probability · 2019
A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it
- Management Science and Operations Research — 8 citations into it
- Artificial Intelligence — 6 citations into it
- Food Science — 5 citations into it
Whom David Kellen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Hadfield
- P. Dixon
- J. Westfall
- C. Judd
- U. Halekoh
- Douglas M. Bates
- Joseph P. Simmons
- Jeffrey N. Rouder
- David A. Kenny
- Hannes Matuschek
Papers from David Kellen's perspective
Ordered by how strongly the researchers David Kellen trusts endorse each paper. Same corpus, a different order for every researcher.
- Treating stimuli as a random factor in social psychology: a new and comprehensive solution to a pervasive but largely ignored problem. (Journal of Personality and Social Psychology)
- Fitting Linear Mixed-Effects Models Using lme4
- R: A language and environment for statistical computing.
- Data from Paper “False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant”
- Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli. (Journal of experimental psychology. General)
- Balancing Type I Error and Power in Linear Mixed Models
- MCMC methods for multi-response generalized linear mixed models
- A Kenward-Roger approximation and parametric bootstrap methods for tests in linear mixed models: The R Package pbkrtest
- Models of accuracy in repeated-measures designs
- Default Bayes factors for ANOVA designs
Their papers
- An Introduction to Mixed Models for Experimental Psychology (2019) — 364 citations