Contribution to the discussion of “When should meta-analysis avoid making hidden normality assumptions?”

Author:

Schlattmann Peter1ORCID

Affiliation:

1. Department of Medical, Statistics, Informatics and Data Science; Jena University Hospital; Jena Germany

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference5 articles.

1. Computer-assisted analysis of mixtures (C.A.MAN): Statistical algorithms;Böhning;Biometrics,1992

2. When should meta-analysis avoid making hidden normality assumptions?;Jackson;Biometrical Journal,2018

3. Interpreting parameters in the logistic regression model with random effects;Larsen;Biometrics,2000

4. R Development Core Team 2010 R: A language and environment for statistical computing http://www.R-project.org

5. Schlattmann , P. Hoehne , J. Verba , M. 2016 CAMAN: Finite mixture models and meta-analysis tools-Based on C.A.MAN. R package version 0.74. https://CRAN.R-project.org/package=CAMAN

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