eprintid: 1554767 rev_number: 39 eprint_status: archive userid: 608 dir: disk0/01/55/47/67 datestamp: 2017-10-09 13:34:12 lastmod: 2021-12-17 22:53:57 status_changed: 2017-10-09 13:34:12 type: article metadata_visibility: show creators_name: White, IR creators_name: Carpenter, J creators_name: Horton, NJ title: A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials ispublished: pub divisions: UCL divisions: B02 divisions: D65 divisions: J38 keywords: Intention-to-treat analysis, longitudinal data analysis, mean score, missing data, randomised trials, sensitivity analysis. note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: Most analyses of randomised trials with incomplete outcomes make untestable assumptions and should therefore be subjected to sensitivity analyses. However, methods for sensitivity analyses are not widely used. We propose a mean score approach for exploring global sensitivity to departures from missing at random or other assumptions about incomplete outcome data in a randomised trial. We assume a single outcome analysed under a generalised linear model. One or more sensitivity parameters, specified by the user, measure the degree of departure from missing at random in a pattern mixture model. Advantages of our method are that its sensitivity parameters are relatively easy to interpret and so can be elicited from subject matter experts; it is fast and non-stochastic; and its point estimate, standard error and confidence interval agree perfectly with standard methods when particular values of the sensitivity parameters make those standard methods appropriate. We illustrate the method using data from a mental health trial. date: 2018-10 publisher: Academia Sinica, Institute of Statistical Science official_url: https://doi.org/10.5705/ss.202016.0308 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green article_type_text: Article verified: verified_manual elements_id: 1292321 doi: 10.5705/ss.202016.0308 lyricists_name: Carpenter, James lyricists_name: White, Ian lyricists_id: JCARP26 lyricists_id: IWWHI35 actors_name: White, Ian actors_id: IWWHI35 actors_role: owner full_text_status: public publication: Statistica Sinica volume: 28 number: 4 issn: 1017-0405 citation: White, IR; Carpenter, J; Horton, NJ; (2018) A mean score method for sensitivity analysis to departures from the missing at random assumption in randomised trials. Statistica Sinica , 28 (4) 10.5705/ss.202016.0308 <https://doi.org/10.5705/ss.202016.0308>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/1554767/1/rctmiss11b.pdf