To <statalist@hsphsun2.harvard.edu> Subject re: st: AW: Labeling variable values in Regression Tables Date Thu, 10 Jun 2010 12:02:37 -0400<> Thomas said Is anyone familiar with a way to have the values of the categorical independent variables show up in regression tables? For instance,...
Robustness checks were run to check if the results remained the same with the inclusion of the independent (control) variables: age, gender, education and living in Copenhagen. We reported Adjusted Relative Risk (ARR) as effect sizes, as this provides a more straightforward evaluation of ...
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Estimates of the determinants of public attitudes toward GM food labeling are shown in Table4. There are five dependent variables representing different labeling cases as well as a column indicating the trust in government management of GM food labeling. In the model of consumer confidence in govern...
No, because standard Stata regression output displays variable names. You need to use some post-processing routine that has the ability to alter the variable names. For instance, for non-categorical variables, -esttab- will display variable labels rather than variable names. But there is no way...
Right now I'm simply setting local x and y variables equal > to coordinates where there is whitespace in the graph, and then using > -text(`y' `x' "Label")-, which is working OK, although it needs to be > changed for every graph. Would be nice to have a more automated ...
Subject st: RE: AW: RE: Correct labeling in egenmore axis()? Date Tue, 11 May 2010 18:47:05 +0100Independently of all this, small offsets for different variables for the same group usually work well. SJ-7-1 gr0026 . . . . Stata tip 42: The overlay problem: Offset for clarity ...
The effect of FOP regulations on the described variables is estimated using interrupted-time series analyses (ITSA) models with synthetic control groups, with two interventions. The first intervention was in July 2016, when the FOP regulations were first implemented, while the second intervention was...
Using a validated questionnaire, we collected sociodemographic variables such as sex (male, female), age (continuous), self-declared weight and height (Kg and mts), education (none, primary, secondary, high school, university, postgraduate), nutritional knowledge, and interest in own health (both...