A note on a reformulation of the KHB method
The Karlson–Holm–Breen (KHB) method has rapidly become popular as a way of separating the impact of confounding from rescaling when comparing conditional and unconditional parameter estimates in nonlinear probability models such as the logit and probit. In this note, we show that the same estimates...
| 主要な著者: | , , |
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| フォーマット: | Journal article |
| 出版事項: |
SAGE Publications
2018
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