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Donald R Williams

Showing results (1-10 of 28) with videos related to

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Psychological Methods|January 31, 2022
Learning to live with sampling variability: Expected replicability in partial correlation networksDonald R Williams
Multivariate Behavioral Research|March 19, 2021
Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network ComparisonsDonald R Williams
The British Journal of Mathematical and Statistical Psychology|June 18, 2019
Back to the basics: Rethinking partial correlation network methodologyDonald R Williams, Philippe Rast
Psychoneuroendocrinology|November 9, 2016
Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysisDonald R Williams, Paul-Christian Bürkner
BMC Psychiatry|June 9, 2018
Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASPDaniel S Quintana, Donald R Williams
Psychological Methods|April 14, 2022
Why overfitting is not (usually) a problem in partial correlation networksDonald R Williams, Josue E Rodriguez
The British Journal of Clinical Psychology|February 21, 2017
Data extraction and statistical errors: A quantitative critique of Gumley, Braehler, and Macbeth (2014)Donald R Williams, Paul-Christian Bürkner
Multivariate Behavioral Research|February 18, 2022
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality IndicesJoran Jongerling, Sacha Epskamp, Donald R Williams
Behavior Research Methods|November 24, 2021
Putting the individual into reliability: Bayesian testing of homogeneous within-person variance in hierarchical modelsDonald R Williams, Stephen R Martin, Philippe Rast
Psychological Methods|November 3, 2022
Who is and is not "average"? Random effects selection with spike-and-slab priorsJosue E Rodriguez, Donald R Williams, Philippe Rast
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Psychological Methods|January 31, 2022
Learning to live with sampling variability: Expected replicability in partial correlation networksDonald R Williams
Multivariate Behavioral Research|March 19, 2021
Bayesian Estimation for Gaussian Graphical Models: Structure Learning, Predictability, and Network ComparisonsDonald R Williams
The British Journal of Mathematical and Statistical Psychology|June 18, 2019
Back to the basics: Rethinking partial correlation network methodologyDonald R Williams, Philippe Rast
Psychoneuroendocrinology|November 9, 2016
Effects of intranasal oxytocin on symptoms of schizophrenia: A multivariate Bayesian meta-analysisDonald R Williams, Paul-Christian Bürkner
BMC Psychiatry|June 9, 2018
Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASPDaniel S Quintana, Donald R Williams
Psychological Methods|April 14, 2022
Why overfitting is not (usually) a problem in partial correlation networksDonald R Williams, Josue E Rodriguez
The British Journal of Clinical Psychology|February 21, 2017
Data extraction and statistical errors: A quantitative critique of Gumley, Braehler, and Macbeth (2014)Donald R Williams, Paul-Christian Bürkner
Multivariate Behavioral Research|February 18, 2022
Bayesian Uncertainty Estimation for Gaussian Graphical Models and Centrality IndicesJoran Jongerling, Sacha Epskamp, Donald R Williams
Behavior Research Methods|November 24, 2021
Putting the individual into reliability: Bayesian testing of homogeneous within-person variance in hierarchical modelsDonald R Williams, Stephen R Martin, Philippe Rast
Psychological Methods|November 3, 2022
Who is and is not "average"? Random effects selection with spike-and-slab priorsJosue E Rodriguez, Donald R Williams, Philippe Rast
Pageof 3