The American Statistician · 1980 · 18 citations · 4 references
Public HealthBiostatisticsData AnalyticsExperimental DesignStatisticsData AnalysisInferential StatisticsMissing Data HandlingMissing Data MethodsStatistical AnalysisVariance AnalysisImputation Of Missing ValuesMissing At RandomMissing Completely At RandomMissing Data AnalysisMissingness MechanismsVariance Estimation
Abstract The occurrence of missing data cells precludes a universally correct procedure for performing an analysis of variance. This is illustrated by the use of two computer routines to analyze a 2 × 3 factorial experiment with one missing cell. One of these routines does, however, provide information that may enhance the usefulness of the associated results. Key Words: Linear modelsMissing cellsAnalysis of varianceEstimable functions
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Linear Models in Messy Data: Some Problems and Alternatives
N. Scott Urquhart, David L. Weeks · Biometrics · 1978 · 36 citations