Logistic regression analyses of clustered data with low number of events
碩士 === 國立陽明大學 === 公共衛生研究所 === 95 === Previous studies have shown that when the number of events is low the parameter estimates of the logistical regression analysis are unreliable. Applying propensity score method is shown to improve the performances of the logistic regression with sparse events. H...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/68892268007641056098 |