<p>Univariate and multivariate logistic logistic regression for predictors of malaria infection among residents of the Kintampo North Municipality and Kintampo South District.</p
<p>Binary logistic regression model of the predictors of post transfusion malaria among the study pa...
<p>CM: Cerebral malaria; SM: Severe malaria; Fatal complicated malaria was coded as 1 (n = 62) and n...
Multivariable logistic regression model of factors associated with the participants’ knowledge of ra...
<p>Univariate and multivariate logistic logistic regression for predictors of fever among 341 reside...
<p>OR* adjusted for age, year of survey and wealth index. Estimates of OR* for covariates not relate...
Abstract: Keerom regency is the most prevalent malaria in Papua (17.7%). Malaria prevention addresse...
Logistic regression analysis showing predictors of malaria parasite infection status.</p
<p>Multivariable logistic regression analysis for the effect avidity on clinical malaria.</p
<p>Univariate and multivariate logistic regression analysis of predictors of intestinal parasitic in...
<p>Fatal form of complicated malaria (n = 62) was coded as 1 and non fatal complicated malaria (n = ...
<p>Prediction accuracy of different mosquito indices by univariate and multivariate logistic regress...
<p>OR: Odds ratio; aOR: adjusted odds ratio.</p><p>Random-effect logistic regression models explorin...
<p>Complicated malaria (n = 232) was coded as 1 and mild malaria (n = 119) as 0. Similarly two group...
<p>Multivariate logistic regression analyses to identify risk factors for <i>Plasmodium</i> infectio...
Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...
<p>Binary logistic regression model of the predictors of post transfusion malaria among the study pa...
<p>CM: Cerebral malaria; SM: Severe malaria; Fatal complicated malaria was coded as 1 (n = 62) and n...
Multivariable logistic regression model of factors associated with the participants’ knowledge of ra...
<p>Univariate and multivariate logistic logistic regression for predictors of fever among 341 reside...
<p>OR* adjusted for age, year of survey and wealth index. Estimates of OR* for covariates not relate...
Abstract: Keerom regency is the most prevalent malaria in Papua (17.7%). Malaria prevention addresse...
Logistic regression analysis showing predictors of malaria parasite infection status.</p
<p>Multivariable logistic regression analysis for the effect avidity on clinical malaria.</p
<p>Univariate and multivariate logistic regression analysis of predictors of intestinal parasitic in...
<p>Fatal form of complicated malaria (n = 62) was coded as 1 and non fatal complicated malaria (n = ...
<p>Prediction accuracy of different mosquito indices by univariate and multivariate logistic regress...
<p>OR: Odds ratio; aOR: adjusted odds ratio.</p><p>Random-effect logistic regression models explorin...
<p>Complicated malaria (n = 232) was coded as 1 and mild malaria (n = 119) as 0. Similarly two group...
<p>Multivariate logistic regression analyses to identify risk factors for <i>Plasmodium</i> infectio...
Malaria is one of the most severe problems faced by the world even today. Understanding the causativ...
<p>Binary logistic regression model of the predictors of post transfusion malaria among the study pa...
<p>CM: Cerebral malaria; SM: Severe malaria; Fatal complicated malaria was coded as 1 (n = 62) and n...
Multivariable logistic regression model of factors associated with the participants’ knowledge of ra...