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By using binary logistic regression it was found that width difference and weight difference are highly correlated with the property variation.
The practice of giving prelacteal feeds was analyzed by using binary logistic regression.
By using binary logistic regression, we identified thrombocytopenia, hyponatraemia and anaemia to be of decreased significance as predictors of need for advanced supportive care.
Indirect information about non-random dropouts will be obtained by using binary logistic models to predict the dropout probability using baseline variables.
We examined variation in WNV antibody prevalence by using binary logistic regression with species and age as categorical factors and capture date and urbanization index as covariates.
Ethnicity and economic variables (i.e., source of family income, occupation of father, occupation of mother, and wealth ranks) were categorized into three categories, and odds ratio was calculated by using binary logistic regression.
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The confounders were also subjected to the same procedure and examined as predictors of benefit recipiency one by one using binary logistic regression.
Potential variables were verified by multivariate analysis using binary logistic regression.
The relationship between peak intensities, survival status and disease-free status was further analysed at various time points by univariate analysis using two-sided Fisher's exact test with Lancaster's mid-P correction (2FET) and the independent association of each variable further analysed by multivariate analysis using binary logistic regression (BLR).
Abnormal results in average GCIPL thickness in RRMS patients were independently associated to age in years (OR = 0.942, P = 0.030), years since the diagnosis of RRMS (OR = 1.185, P = 0.002), and ON antecedent (OR = 4.123, P = 0.001), after correcting by sex and intereye correlation using binary logistic generalized estimating equations (N = 140).
Odds ratio was calculated using binary logistic regression of two-by-two contingency tables.
More suggestions(16)
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