When you say “multiple” I assume that you mean “multiple linear regression”, which just means that you have more than one independent variable. When you have only one independent variable often the term “linear regression” or “simple linear regression” is used. Since you say that you ...
If you transform some of the X variables but do not transform Y, then most of the interpretation of the results of a multiple regression analysis remains unchanged. If you use the natural logarithm of Y, then R2 and significance tests for individual regression coefficients retain their usual ...
If you transform some of the X variables but do not transform Y, then most of the interpretation of the results of a multiple regression analysis remains unchanged. If you use the natural logarithm of Y, then R2 and significance tests for individual regression coefficients retain their usual ...
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 dynamic treatment effects in event studie...
Descriptive and multivariable regression analyses were conducted. Results One thousand six hundred eighty-three MS and 1,021 general population participants entered the study (mean age 52.4 and 58.6; female 79.9% and 52.4%, respectively). For people living with MS the most important life domains ...
has the same interpretation as in the Simple Linear Regression Model. − is the intercept term (the same as in the Simple Linear Regression Model). − The rest of the coefficients are also known as (partial) slope coefficients.
(LASSO) regression and Ridge regression with a good probabilistic interpretation of variables suitable for disease prediction [56]. The LASSO penalty selected variables by reducing the absolute value of the weight, while the Ridge penalty by further reducing the extremities of weights. Details of the...
Descriptive and multivariable regression analyses were conducted. Results One thousand six hundred eighty-three MS and 1,021 general population participants entered the study (mean age 52.4 and 58.6; female 79.9% and 52.4%, respectively). For people living with MS the most important life domains ...
Pepe, M., Longton, G. & Janes, H. Estimation and comparison of receiver operating characteristic curves. The Stata Journal 1–16 (2009). Hosmer, D. W. & Lemeshow, S. Assessing the Fit of the Model.Applied Logistic regression. John Wiley&Sons, 160–164 (2000). ...
multivariate regression discontinuity designs; frontier regression discontinuity; supplementary analyses; credibility1. Introduction Multivariate regression discontinuity designs (MRDD) raise challenges that are distinct from those identified in traditional RDD [1]. Traditional RDD studies focus on units that ...