Regression factor is the Terminology of General Practice and Community Health published by the National Science and Technology Terminology Examination Committee on 20 14, which comes from the first edition of Terminology of General Practice and Community Health. Due to accidental factors, a certain characteristic level of individual tested objects is too high or too low, and then returns to the actual level.
Time factor, also known as historical factor, refers to major events that may have an impact on the target population during the implementation of the health education plan, such as the promulgation of health-related public policies, major changes in living conditions, natural disasters or social disasters.
The attitude and behavior of the investigator make the target population be hinted and act according to the investigator's wishes. Regression factor refers to the phenomenon that a certain characteristic level of an individual test object is too high or too low due to accidental factors, but it may return to the original actual level in future tests.
The selection factor refers to that in the evaluation stage, if the selection of the intervention group and the control group is not balanced, it will cause the selection deviation, thus affecting the correctness of the observation results. However, in the evaluation, we can prevent or reduce the influence of selection bias on the correctness of the evaluation results by randomization or paired selection.
Univariate regression will include the following factors
1, independent variable: that is, the explained variable, such as whether the explained variable is revenue or cost.
2. Dependent variable: that is, the measurement of the explained variable, such as weight or height.
3. Linear regression model: that is, the influence of independent variables on dependent variables is determined by calculating the intercept or slope of regression model.
4. Model setting: whether there are independent variables in the model, and whether the independent variables have uncontrollable interference factors.
5. Interpretation tools: Use regression models to predict or interpret data.