The collapsibility theorem in log-linear analysis of categorical data: an application in program evaluation

作者: Pedro Sánchez-Algarra , M. Teresa Anguera-Argilaga

DOI: 10.1023/A:1004284528991

关键词: Categorical variableStatisticsMultidimensional analysisEconometricsLog-linear analysisProgram evaluationVariable (computer science)Log-linear modelMathematicsHierarchy (mathematics)

摘要: The collapsibility theorem describes both the circumstances in which effects of hierarchical models change when additional variables are introduced, as exclusion certain and analysis specific marginal tables may lead to different conclusions.

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