<p>(A) Odds ratios and their associated P-value for all the selected cases in the univariate models.</p>*<p>Factors with P<0.05 are considered as significant.</p>†<p>Factors with a P<0.25 are entered in the multivariate model.</p><p>(B) Odds ratios and P-values for the final multivariate models. Previous steps, consisting in removing one by one the factors with the highest P-value at each step, are not shown. The program used to execute the analysis gave P = 0.002 for the overall model fit comparing 2002–06 with 1997–01 and P = <0.0001 comparing 2007–10 with 1997–01.</p>a<p>Humans are grouped into four age groups with the reference group being young children (0–4 years) (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.p...
<p>Statistics presented are twice the negative log-likelihood value (−2L), the number of parameters ...
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemio...
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...
<p>(A) Odd ratios and their associated P–value for all the selected cases in the univariate models. ...
<p>OR = odds ratio; Ref = reference; 95%CI = 95% confidence interval;</p><p>* Significant at p<...
AbstractIn logistic case–control studies, Prentice and Pyke (Biometrika 66 (1979) 403–411) showed th...
<p>Final logistic regression model of the factors significantly associated with a change in the odds...
<p>Logistic regression results showing adjusted odds ratios for exposure to pediatric reserve antibi...
<p><sup>a</sup><i>p</i> value;</p><p><sup>b</sup>odds ratio;</p><p><sup>c</sup>confidence interval</...
*<p>1.Odds ratios (ORs) were computed by having only SNP variables in the logistic regression.</p>*<...
<p><sup>a</sup>Adjusted for age, sex, village in separate logistic regression models.</p><p><sup>b</...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
Results from the bivariate logistic regression analysis of demographic predictors using unadjusted o...
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemio...
a<p>univariable conditional logistic regression model.</p>b<p>175 cases, 1382 controls.</p>c<p>130 c...
<p>Statistics presented are twice the negative log-likelihood value (−2L), the number of parameters ...
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemio...
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...
<p>(A) Odd ratios and their associated P–value for all the selected cases in the univariate models. ...
<p>OR = odds ratio; Ref = reference; 95%CI = 95% confidence interval;</p><p>* Significant at p<...
AbstractIn logistic case–control studies, Prentice and Pyke (Biometrika 66 (1979) 403–411) showed th...
<p>Final logistic regression model of the factors significantly associated with a change in the odds...
<p>Logistic regression results showing adjusted odds ratios for exposure to pediatric reserve antibi...
<p><sup>a</sup><i>p</i> value;</p><p><sup>b</sup>odds ratio;</p><p><sup>c</sup>confidence interval</...
*<p>1.Odds ratios (ORs) were computed by having only SNP variables in the logistic regression.</p>*<...
<p><sup>a</sup>Adjusted for age, sex, village in separate logistic regression models.</p><p><sup>b</...
Logistic regression model of the impact of setting, prevention level, and study design on the odds t...
Results from the bivariate logistic regression analysis of demographic predictors using unadjusted o...
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemio...
a<p>univariable conditional logistic regression model.</p>b<p>175 cases, 1382 controls.</p>c<p>130 c...
<p>Statistics presented are twice the negative log-likelihood value (−2L), the number of parameters ...
Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemio...
<p>Odds ratios of Multivariate logistic regression analyses for outcome of interest versus patient c...