Data for: Risk of bias in non-randomised studies of interventions (ROBINS-I): low inter-rater reliability and challenges in its application

Name: Data for: Risk of bias in non-randomised studies of interventions (ROBINS-I): low inter-rater reliability and challenges in its application
Creator: Silvia Minozzi
Published: 2019-05-09T23:28:31.012Z
Keywords: Observational Study, Clinical Research, Systematic Review, Research Method

Minozzi, Silvia; Banzi, Rita; Gianola, Silvia; Cinquini, Michela; Gerardi, Chiara; Castellini, Greta

doi:10.17632/5gh3hkk64w.1

Data for: Risk of bias in non-randomised studies of interventions (ROBINS-I): low inter-rater reliability and challenges in its application

Published: 9 May 2019| Version 1 | DOI: 10.17632/5gh3hkk64w.1

Contributors:

Silvia Minozzi, Rita Banzi, Silvia Gianola, Michela Cinquini, Chiara Gerardi, Greta Castellini

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Dataset underlying the findings of a paper submitted to the Journal of Clinical Epidemiology Minozzi S, Cinquini M, Gianola S, Castellini G, Gerardi C, and Banzi R Risk of bias in non-randomised studies of interventions (ROBINS-I): low inter-rater reliability and challenges in its application. Version 1_11 February 2019

Data for: Risk of bias in non-randomised studies of interventions (ROBINS-I): low inter-rater reliability and challenges in its application

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