Regression models for primary outcomes and variables of interest.
收藏NIAID Data Ecosystem2026-03-08 收录
下载链接：
https://figshare.com/articles/dataset/_Regression_models_for_primary_outcomes_and_variables_of_interest_/1349531
下载链接
链接失效反馈官方服务：
资源简介：
OR: Odds Ratio; 95% CI: 95% Confidence Interval
¶The payment amount was ln transformed to provide a better fit for the data
1Based on a logistic regression model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates
2Based on a generalized linear model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates
3Based on a generalized linear model including age, sex, income, payer, CCI, race, hospital region, hospital location, hospital bedsize, density of neurosurgeons as covariates. Hospitalization charges underwent an ln transformation because this provided the best fit for our data
§The point estimates from these linear regressions represent beta coefficients and not odds ratios
Regression models for primary outcomes and variables of interest.
创建时间：
2015-03-23
