Published February 15, 2020 | Version v2
Dataset Open

MiRoR7-P1- Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design

  • 1. INSERM, U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Methods of therapeutic evaluation of chronic diseases Team (METHODS), Paris, F-75004 France; Paris Descartes University, Sorbonne Paris Cité, France.
  • 2. Cochrane France, Paris, France
  • 3. Sorbonne Université, INSERM, Institut Pierre Louis de Santé Publique, Département Biostatistique, Santé Publique et Information Médicale, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière – Charles Foix, Paris, France
  • 4. Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Netherlands.

Description

dataset referring to 

Disagreements in risk of bias assessment for randomised controlled trials included in more than one Cochrane systematic reviews: a research on research study using cross-sectional design

 

 

Lorenzo Bertizzolo1, Patrick M Bossuyt2, Ignacio Atal1, 5, Philippe Ravaud1, 3-6, Agnès Dechartres7

 

1 INSERM, U1153 Epidemiology and Biostatistics Sorbonne Paris Cité Research Center (CRESS), Methods of therapeutic evaluation of chronic diseases Team (METHODS), Paris, F-75004 France; Paris Descartes University, Sorbonne Paris Cité, France.

2 Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Netherlands.

3 Centre d’Épidémiologie Clinique, Hôpital Hôtel Dieu, AP-HP (Assistance Publique des Hôpitaux de Paris), Paris, France.

4 Faculté de Médecine, Université Paris Descartes, Sorbonne Paris Cité, Paris, France.

5 Cochrane France, Paris, France

6 Columbia University, Mailman School of Public Health, Department of Epidemiology, New York, USA

7 Sorbonne Université, INSERM, Institut Pierre Louis de Santé Publique, Département Biostatistique, Santé Publique et Information Médicale, AP-HP, Hôpitaux Universitaires Pitié Salpêtrière – Charles Foix, Paris, France

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Additional details

Related works

Is supplement to
Journal article: 10.1136/bmjopen-2018-028382. (DOI)

Funding

MIROR – Methods in Research on Research 676207
European Commission