Data from: Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy

Mayo-Wilson E, Li T, Fusco N, Bertizzolo L, Canner JK, Cowley T, Doshi P, Ehmsen J, Gresham G, Guo N, Haythornthwaite JA, Heyward J, Hong H, Pham D, Payne JL, Rosman L, Stuart EA, Suarez-Cuervo C, Tolbert E, Twose C, Vedula S, Dickersin K

Date Published: May 31, 2018

DOI: https://doi.org/10.5061/dryad.mp26fb1

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Title MUDS Archive
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Description Data and code from the Integrating Multiple Data Sources (MUDS) for Meta-Analysis project. (https://wwwcf.nlm.nih.gov/hsr_project/view_hsrproj_record.cfm?NLMUNIQUE_ID=20143578)
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When using this data, please cite the original publication:

Mayo-Wilson E, Li T, Fusco N, Bertizzolo L, Canner JK, Cowley T, Doshi P, Ehmsen J, Gresham G, Guo N, Haythornthwaite JA, Heyward J, Hong H, Pham D, Payne JL, Rosman L, Stuart EA, Suarez-Cuervo C, Tolbert E, Twose C, Vedula S, Dickersin K (2017) Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy. Journal of Clinical Epidemiology 91: 95-110. https://doi.org/10.1016/j.jclinepi.2017.07.014

Additionally, please cite the Dryad data package:

Mayo-Wilson E, Li T, Fusco N, Bertizzolo L, Canner JK, Cowley T, Doshi P, Ehmsen J, Gresham G, Guo N, Haythornthwaite JA, Heyward J, Hong H, Pham D, Payne JL, Rosman L, Stuart EA, Suarez-Cuervo C, Tolbert E, Twose C, Vedula S, Dickersin K (2017) Data from: Cherry-picking by trialists and meta-analysts can drive conclusions about intervention efficacy. Dryad Digital Repository. https://doi.org/10.5061/dryad.mp26fb1
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