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A Semiparametric Approach for Analyzing Nonignorable Missing Data

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NBER2010-08-01 更新2025-01-04 收录
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In missing data analysis, there is often a need to assess the sensitivity of key inferences to departures from untestable assumptions regarding the missing data process. Such sensitivity analysis often requires specifying a missing data model which commonly assumes parametric functional forms for

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2010-08-01
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