Статистическая обработка результато

Статистическая обработка результатов проведена с использованием программы Microsoft Office Excel 2007 (Microsoft Office®, USA) и программы «STATISTICА» v. 10.0 (StatSoft, USA). Однородность состава сравниваемых групп больных определяли используя критерий Колмогорова-Смирнова, оценку достоверности различий между средними – модуль «Непараметрическая статистика», при нормальном распределении использовали t-критерий Стьюдента. Статистические гипотезы считались подтвержденными при уровне значимости р

Результаты (английский) 1:

Statistical processing of results carried out using Microsoft Office Excel 2007 (Microsoft Office ®, USA) and the "STATISTICA" v. 10.0 (StatSoft, USA). Homogeneity compared groups of patients was determined using the Kolmogorov-Smirnov criterion, an assessment of the reliability of differences between average-module "nonparametric statistics" in the normal distribution of student's t-test was used. Statistical hypotheses were considered sufficiently when the significance level p < 0.01. To determine the probability of convergence of numerical values of laboratory parameters with the presence of slow consolidation, installed their diagnostic (predictive) significance of using modified Bayesian theorem, i.e., using known formulas to calculate diagnostic sensitivity and specificity.

Результаты (английский) 2:

Statistical analysis performed using the program Microsoft Office Excel 2007 (Microsoft Office®, USA) and the program "STATISTICA» v. 10.0 (StatSoft, USA). The homogeneity of the composition of the compared groups of patients were determined using the Kolmogorov-Smirnov test, evaluate the significance of differences between the average - module "Nonparametrics" normal distribution using the Student's t-test. Statistical hypothesis is considered confirmed when a significance level of p <0.01. To determine the probability of coincidence of the numerical values ​​of laboratory parameters with the presence of delayed consolidation, installed their diagnostic (predictive) relevance to the application of the modified T. Bayes Theorem, using the well-known formula, calculated the diagnostic sensitivity and specificity.

Результаты (английский) 3:

statistical analysis of the results was carried out with the use of microsoft office excel 2007 microsoft Office®, usa) and the STATISTICа» v. 10.0 (StatSoft, usa).homogeneity of the groups of patients defined by kolmogorov's - smirnov test, an evaluation of the differences among the average is the непараметрическая statistics;in the normal distribution using the t - test стьюдента. statistical hypotheses were confirmed, with significance level p < 0.01.to determine the probability of convergence of numerical values of laboratory indicators of delayed consolidationinstalling their diagnostic (predictive) validity of the modified theorem t. bayesian using known formulas, вычисляли diagnostic sensitivity and specificity.