Multivariable conditional logistic regression model of patient-level factors associated with cholera mortality in Malawi. The model includes 174 matched observations, with matching on age group and district. All participants were assumed to have equal risk time, consistent with the matched case-control design. Adjusted Odds ratios, 95% confidence intervals, and p-values are presented for each predictor. Nagelkerke’s R² indicates the overall explanatory power of the model.
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https://figshare.com/articles/dataset/Multivariable_conditional_logistic_regression_model_of_patient-level_factors_associated_with_cholera_mortality_in_Malawi_The_model_includes_174_matched_observations_with_matching_on_age_group_and_district_All_participants_were_assumed_to_ha/30321268
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资源简介：
Multivariable conditional logistic regression model of patient-level factors associated with cholera mortality in Malawi. The model includes 174 matched observations, with matching on age group and district. All participants were assumed to have equal risk time, consistent with the matched case-control design. Adjusted Odds ratios, 95% confidence intervals, and p-values are presented for each predictor. Nagelkerke’s R² indicates the overall explanatory power of the model.
创建时间：
2025-10-09
