eprintid: 10178910 rev_number: 16 eprint_status: archive userid: 699 dir: disk0/10/17/89/10 datestamp: 2023-10-16 09:04:38 lastmod: 2024-10-13 06:10:05 status_changed: 2023-10-16 09:04:38 type: article metadata_visibility: show sword_depositor: 699 creators_name: Morris, Tim P creators_name: White, Ian R creators_name: Cro, Suzie creators_name: Bartlett, Jonathan W creators_name: Carpenter, James R creators_name: Pham, Tra My title: Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods? ispublished: pub divisions: UCL divisions: B02 divisions: D65 divisions: J38 note: This version is the author-accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. abstract: For simulation studies that evaluate methods of handling missing data, we argue that generating partially observed data by fixing the complete data and repeatedly simulating the missingness indicators is a superficially attractive idea but only rarely appropriate to use. date: 2024-01 date_type: published publisher: Wiley official_url: https://doi.org/10.1002/bimj.202300085 oa_status: green full_text_type: other language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 2096301 doi: 10.1002/bimj.202300085 lyricists_name: Morris, Timothy lyricists_id: TNMOR17 actors_name: Morris, Timothy actors_id: TNMOR17 actors_role: owner full_text_status: public publication: Biometrical Journal volume: 66 number: 1 article_number: 2300085 issn: 0323-3847 citation: Morris, Tim P; White, Ian R; Cro, Suzie; Bartlett, Jonathan W; Carpenter, James R; Pham, Tra My; (2024) Comment on Oberman & Vink: Should we fix or simulate the complete data in simulation studies evaluating missing data methods? Biometrical Journal , 66 (1) , Article 2300085. 10.1002/bimj.202300085 <https://doi.org/10.1002/bimj.202300085>. Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10178910/1/Oberman_Vink_letter_ACCEPTED.pdf