Odds ratios from logistic, geometric, Poisson, and negative binomial regression models

被引：0

作者：

Christopher J. Sroka

Haikady N. Nagaraja

机构：

[1] Department of Economics,

[2] Applied Statistics,undefined

[3] and International Business,undefined

[4] New Mexico State University,undefined

[5] Division of Biostatistics,undefined

[6] The Ohio State University,undefined

来源：

BMC Medical Research Methodology | / 18卷

关键词：

Binary data; Confidence intervals; Count data; Fisher information; Maximum likelihood;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 50 条

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[J]. BMC MEDICAL RESEARCH METHODOLOGY, 2018, 18
[2] What are the odds? Interpretation of odds ratios from a logistic regression model
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[9] Improved two-parameter estimators for the negative binomial and Poisson regression models
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[J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2019, 89 (14) : 2645 - 2660
[10] Modelling the claim count with Poisson regression and negative binomial regression
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