What is it about?
Maximum likelihood solution for cases of truncated and censored samples.
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Why is it important?
Considers approaches to estimating treatment effects where the sample has been selected because values are extreme and there is no control group.
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This page is a summary of: Estimating Treatment Effects in Clinical Trials Subject to Regression to the Mean, Biometrics, June 1985, JSTOR,
DOI: 10.2307/2530881.
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