StataAssumptionsThere are eight "assumptions" that underpin multiple regression. If any of these eight assumptions are not met, you cannot analyze your data using multiple regression because you will not get a valid result. Since assumptions #1 and #2 relate to your choice of variables, they ...
A multiple linear regression model was constructed for the reported response rates of studies investigating the prevalence of female sexual difficulties. All statistical analyses were performed with Stata version 8 (StataCorp, College Station, TX, USA). ...
Jia, W., et al. (2023).Environmental regulation and firms' emission reduction – The policy of eliminating backward production capacity as a quasi-natural experiment Appendix B. Supplementary data【数据+Stata】 Sun, L., & Abraham, S. (2021). Estimating dynamictreatment effectsin event studies ...
Comparison of artificial neural network and multiple line regression in the optimization of formulation ... N Arulsudar,N Subramanian,RS Muthy - Journal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Société canadienne des sciences ...
Association between correlated molecules and PM10 was further tested in a multivariate linear regression model including age, gender, treatment with disease-modifier drugs (yes/no), and smoker status. Continuous variables compared different PM exposure conditions tested in vitro using non-parametric or ...
Negative associations between multiple sclerosis-related disability and Personal Wellbeing Index life domains, obtained through multivariable linear regression. Notes: Data are presented as coefficient (standard deviation); no MS-related disability was the base category. A separate, linear multivariable regre...
The prediction errors or residuals are given by [Y − (Predicted Y)]. There are two ways of summarizing how good the regression analysis is. The standard error of estimate, Se, indicates the approximate size of the prediction errors. The coefficient of determination, R2, indicates the ...
Graphic representation of the conceptual model (elements of the conceptual model correspond with the variables used in the regression model) Full size image Trust in CSA and its farmer Food from CSA is distributed directly to the members, meaning there are no intermediates or retailers involved (Ko...
Associations between randomization assignment and the primary and secondary outcomes were evaluated using multilevel, mixed-effects logistic regression models with center included as a random effect. Results from these models are presented as odds ratios (ORs) together with their 95% CIs. P values fro...
To examine the relationship between the HBSC-SCL sum-score and total number of hospital contacts, all the above regression models were fit with the sum-score as the predictor. The sum-score entered the regression models via a restricted cubic spline with 5 knots at the points recommended by ...