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Dive into the research topics where Joris Mulder is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity
Kavelaars, X. (Corresponding author), Mulder, J. & Kaptein, M., 11 May 2024, In: Multivariate Behavioral Research. 59, 4, p. 859-882 24 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Citation (Scopus) -
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
Kavelaars, X., Mulder, J. & Kaptein, M., 7 Dec 2022.Research output: Working paper › Preprint › Academic › peer-review
File39 Downloads (Pure) -
Bayesian multivariate logistic regression for superiority and inferiority decision-making under observed treatment heterogeneity
Kavelaars, X., Mulder, J. & Kaptein, M., 8 Jun 2022.Research output: Working paper › Preprint › Academic
File41 Downloads (Pure) -
Assessing model fit in latent class analysis when asymptotics do not hold
Van Kollenburg, G. H., Mulder, J. & Vermunt, J. K., 1 Jun 2015, In: Methodology. 11, 2, p. 65-79 15 p.Research output: Contribution to journal › Article › Academic › peer-review
17 Citations (Scopus)
Datasets
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Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity
Kavelaars, X. (Creator), Mulder, J. (Creator) & Kaptein, M. (Creator), Taylor and Francis Ltd., 11 May 2024
DOI: 10.6084/m9.figshare.25801638, https://tandf.figshare.com/articles/dataset/Bayesian_Multivariate_Logistic_Regression_for_Superiority_and_Inferiority_Decision-Making_under_Observable_Treatment_Heterogeneity/25801638 and one more link, https://tandf.figshare.com/articles/dataset/Bayesian_Multivariate_Logistic_Regression_for_Superiority_and_Inferiority_Decision-Making_under_Observable_Treatment_Heterogeneity/25801638/1 (show fewer)
Dataset