Multivariable logistic regression model of propensity score for participation in the self-administered OPAT versus healthcare-administered OPAT program.
收藏NIAID Data Ecosystem2026-03-09 收录
下载链接:
https://figshare.com/articles/dataset/_Multivariable_logistic_regression_model_of_propensity_score_for_participation_in_the_self_administered_OPAT_versus_healthcare_administered_OPAT_program_/1624960
下载链接
链接失效反馈官方服务:
资源简介:
The model’s area under the receiver operating characteristic curve was 0.91. Patients’ predicted probability of S- OPAT participation from the model is the propensity score used to control for selection bias in later outcome modeling.
*The p-values for the main category terms (e.g., health funding source) are from the type 3 analysis of the main effects of the nine categorical variables, and the p-values for the individual category terms test the difference between each category (e.g., Medicaid) and its referent category (indicated by aOR = 1.00; e.g., Medicare), all based on a sample size of 1,168 patients.
‡Fiscal years run from 1 October to 30 September. For H-OPAT, fiscal year 2010 also includes the 9 mo before the fiscal year (1 January 2009 to 30 September 2009).
aOR, adjusted odds ratio; ENT, ear/nose/throat; ref, referent category.
Multivariable logistic regression model of propensity score for participation in the self-administered OPAT versus healthcare-administered OPAT program.
创建时间:
2015-12-17



