Multiply Regression Analysis as An Integrated Approach in the TB Indicators Assessment in the Republic of Crimea

The use of multiply regression analysis for the TB indicators assessment and prediction in Republic Crimea is discussed. Basic period 2014-2018 were studied using Pearson correlation coefficient step-by-step linear analysis. During paired analysis, dependable association with an average high degree identified most interest. multiple coefficients higher than coefficients, which demonstrated greater significance group conditionality indicators. For key epidemiological equations are constructed relevant predictors found stepwise incidence, prevalence mortality rates proposed practical applying to predict situation.