eprintid: 10134915
rev_number: 21
eprint_status: archive
userid: 608
dir: disk0/10/13/49/15
datestamp: 2021-09-23 15:10:39
lastmod: 2022-10-03 10:49:26
status_changed: 2021-09-23 15:10:39
type: article
metadata_visibility: show
creators_name: Morris, TP
creators_name: van Smeden, M
title: Causal analyses of existing databases: The importance of understanding what can be achieved with your data before analysis (commentary on Hernán)
ispublished: pub
divisions: UCL
divisions: B02
divisions: D65
divisions: J38
keywords: Causal analysis, Sample size, Power, Meta-analysis, Planning
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2022-02
date_type: published
publisher: Elsevier BV
official_url: https://doi.org/10.1016/j.jclinepi.2021.09.026
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1888781
doi: 10.1016/j.jclinepi.2021.09.026
lyricists_name: Morris, Timothy
lyricists_id: TNMOR17
actors_name: Morris, Timothy
actors_id: TNMOR17
actors_role: owner
full_text_status: public
publication: Journal of Clinical Epidemiology
volume: 142
pagerange: 261-283
citation:        Morris, TP;    van Smeden, M;      (2022)    Causal analyses of existing databases: The importance of understanding what can be achieved with your data before analysis (commentary on Hernán).                   Journal of Clinical Epidemiology , 142    pp. 261-283.    10.1016/j.jclinepi.2021.09.026 <https://doi.org/10.1016/j.jclinepi.2021.09.026>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10134915/1/causal-analyses-of-existing-databases_accepted-version.pdf