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| Bayesian Statistics | 1 |
| Causal Models | 1 |
| Death | 1 |
| Educational Attainment | 1 |
| Experiments | 1 |
| Predictor Variables | 1 |
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| Journal of Educational and… | 1 |
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| Rubin, Donald B. | 1 |
| Zhang, Junni L. | 1 |
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Direct linkZhang, Junni L.; Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2003
The topic of "truncation by death" in randomized experiments arises in many fields, such as medicine, economics and education. Traditional approaches addressing this issue ignore the fact that the outcome after the truncation is neither "censored" nor "missing," but should be treated as being defined on an extended sample space. Using an…
Descriptors: Experiments, Predictor Variables, Bayesian Statistics, Death
