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The ratio of the number of cases to the number of controls is estimated for each multifactor cell.
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Five different specifications, where Age, Size (both in logs), the limited liability dummy and 488 industry dummies31 are used as controls, are estimated through Tobit regressions.
The menstrual cycle phases for Oxford controls were estimated according to their self-reported menstrual cycle day.
Statistical significance between treatment groups and controls was estimated by the two-tailed nonparametric Kruskal Wallis test.
The disease activity (DAS28, patients) and galactosylation profile (patients and controls) were estimated using a linear mixed model.
The odds ratio (OR) for each variable in cases versus controls, was estimated with unconditional logistic regression.
among controls were estimated controlling for gender, age, as well as for height and weight, expressed in age gender-specific centiles of Greek growth curves.
Survival curves for cases and controls were estimated using Kaplan Meier analysis and the log-rank test was used to determine whether the difference in survival was significant.
Haplotype frequencies among prostate cancer cases and controls were estimated by using genotype data of the tag SNPs as described by Stram et al (2003).
In present study, 63,3th percentile of neopterin values of controls were estimated as <8.7 nmol/L Therefore we decided that our cut-off value as 10 nmol/L.
Descriptive statistics (means, SD), and percentages for cases and controls were estimated using X tests for categorical variables, and Wilcoxon rank-sum test for continuous variables.
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