A methodological framework for separable effects analysis that distinguishes four-arm and two-arm designs, with EIF-based estimation and falsification tests.
Statistics in medicine , volume=
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Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.
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Separable Effects in Four-Arm and Two-Arm Designs
A methodological framework for separable effects analysis that distinguishes four-arm and two-arm designs, with EIF-based estimation and falsification tests.
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SHARELIFE Imputations
Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.