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Univariate and multivariate logistic regression analysis of different demographic and background variables associated with prognosis of enrolled complicated malaria patients admitted at Maharani Hospital Jagdalpur, Chhattisgarh, India.

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https://figshare.com/articles/dataset/_Univariate_and_multivariate_logistic_regression_analysis_of_different_demographic_and_background_variables_associated_with_prognosis_of_enrolled_complicated_malaria_patients_admitted_at_Maharani_Hospital_Jagdalpur_Chhattisgarh_India_/1277306
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Fatal form of complicated malaria (n = 62) was coded as 1 and non fatal complicated malaria (n = 160) as 0. Similarly two groups of an independent variable were also coded as “0” and “1”. The outcome of 8 cerebral malaria (CM) and 2 severe malaria (SM) patients is unknown. Ref  =  Reference for odds ratios; CI  =  Confidence interval; N/A  =  Not applicable. Variables which were significant in univariate analysis (p∼0.1) were taken in multivariate analysis). Complicated malaria included 168 CM and 54 SM (non cerebral) cases with known outcomes. Univariate and multivariate logistic regression analysis of different demographic and background variables associated with prognosis of enrolled complicated malaria patients admitted at Maharani Hospital Jagdalpur, Chhattisgarh, India.
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2014-12-22
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