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Analyzing missingness patterns in real-world data using the SMDI toolkit: application to a linked EHR-claims pharmacoepidemiology study.
Raman SR, Hammill BG, Shaw PA, Lee H, Toh S, Connolly JG, Dandreo KJ, Nalawade V, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ, Weberpals J. Raman SR, et al. Among authors: shaw pa. BMC Med Res Methodol. 2024 Oct 19;24(1):246. doi: 10.1186/s12874-024-02330-2. BMC Med Res Methodol. 2024. PMID: 39427148 Free PMC article.
smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies.
Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. Weberpals J, et al. Among authors: shaw pa. JAMIA Open. 2024 Jan 31;7(1):ooae008. doi: 10.1093/jamiaopen/ooae008. eCollection 2024 Apr. JAMIA Open. 2024. PMID: 38304248 Free PMC article.
277 results