A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover.
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| Title: | A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover. |
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| Authors: | Zhao R; Department of Statistics, Ohio State University, Columbus, OH, USA., Lin J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Xu J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Liu G; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Wang B; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Lin J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA. |
| Source: | Journal of biopharmaceutical statistics [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 438-455. Date of Electronic Publication: 2024 Dec 11. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5711 (Electronic) Linking ISSN: 10543406 NLM ISO Abbreviation: J Biopharm Stat Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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