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A Nonparametric Approach to Program Evaluation: Utilizing Number Needed to Treat, L’Abbé Plots, and Event Rate Curves for Outcome Analysis
The medical sciences offer several helpful tools to the program evaluator for outcome analysis. Where a single point on the range of a dependent variable clearly defines attainment of outcome success, the number needed to treat (NNT) offers an indicator of a program’s efficacy. L’Abbé plots compare...
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Published in: | The American journal of evaluation 2002-06, Vol.23 (2), p.165-182 |
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Main Author: | |
Format: | Article |
Language: | English |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | The medical sciences offer several helpful tools to the program evaluator for outcome analysis. Where a single point on the range of a dependent variable clearly defines attainment of outcome success, the number needed to treat (NNT) offers an indicator of a program’s efficacy. L’Abbé plots compare several programs in terms of the event rates that constitute the NNTs.
If the nature of an outcome variable is not amenable to such a demarcation, then the evaluator may extend the NNT concept by calculating and plotting event rates on a continuous, ordinal basis. Graphical analysis of these curves may involve program comparisons, inclusion of other relevant variables, and visualization of the test statistic for inferential purposes. |
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ISSN: | 1098-2140 1557-0878 |
DOI: | 10.1177/109821400202300205 |