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October 1, 2001Educational and Psychological Measurement

The Performance of the Full Information Maximum Likelihood Estimator in Multiple Regression Models With Missing Data

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CECraig K. EndersUniversity of California, Los Angeles

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Craig K. Enders (2001) studied this question.

synapsesocial.com/papers/6a11e28a45487b7639a581eb https://doi.org/10.1177/00131640121971482

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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Missing data estimators in the general linear model: an evaluation of simulated data as an experimental design1985 · 22 citations
2Maximum Likelihood Inference for Multiple Regression with Missing Values: A Simulation Study1979 · 37 citations
3Nonrandomly Missing Data in Multiple Regression: An Empirical Comparison of Common Missing-Data Treatments1994 · 64 citations
4Statistical Analysis With Missing Data1989 · 17,406 citations
5The Estimation of Variance-Covariance and Correlation Matrices from Incomplete Data1970 · 81 citations