A Semiparametric Approach for Analyzing Nonignorable Missing Data
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https://www.nber.org/papers/w16270
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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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美国国家经济研究局创建时间：
2010-08-01
