Practical considerations for sensitivity analysis after mult…

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Practical considerations for sensitivity analysis after multiple imputation applied to epidemiological studies with incomplete data

Article 2012 EN Gold

BACKGROUND: Multiple Imputation as usually implemented assumes that data are Missing At Random (MAR), meaning that the underlying missing data mechanism, given the observed data, is independent of the unobserved data. To explore the sensitivity of the inferences to departures from the MAR assumption, we applied the method proposed by Carpenter et al. (2007).This approach aims to approximate infere…

64

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5

Authors

3.67

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5 authors
#AuthorInstitutionsORCID
1 Vanina Héraud-Bousquet Corresponding Institut de Veille Sanitaire (FR) —
2 Christine Larsen Institut de Veille Sanitaire (FR)
3 James R. Carpenter London School of Hygiene & Tro… (GB)
4 Jean‐Claude Desenclos Institut de Veille Sanitaire (FR) —
5 Yann Le Strat Institut de Veille Sanitaire (FR)

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