In the section, Test Procedure in Stata, we illustrate the Stata procedure required to perform multiple regression assuming that no assumptions have been violated. First, we set out the example we use to explain the multiple regression procedure in Stata....
Plot of residuals with a Lowess line in STATA shows that the amplitude of the errors appears to be increasing over time (positive autocorrelation). What the results mean Autocorrelation values can range from -1 to +1: +1 autocorrelation indicates a perfect positive correlation, where an increase...
Stata's power command has several methods implemented that allow us to compute power or sample size for tests on means, proportions, variances, regression slopes, case-control analysis, and survival analysis, among others. For those complicated models that are not directly supported by the power ...
In the UK, cohabitation has become the normative type of first co-residential partnership. While some couples go on to marry, others increasingly continue to cohabit or break up. One possible explanation is the rise in young people’s economic precariousness. However, few studies have analysed th...
Publication bias can be examined in multiple ways (Rothstein et al. 2005). First, the funnel plot is a simple graphical tool that can provide an overview of the effect size distribution and help to detect publication bias (Stanley and Doucouliagos 2010). A funnel plot can also support in...
st: R: How to take into account correlation in Logistic regression using Stata From: <carlo.lazzaro@tiscalinet.it> Prev by Date: Re: st: Slowing Stata down Next by Date: st: smart averaging Previous by thread: st: Stata/MP8 Next by thread: st: R: How to take into account cor...
to examine whether the shift in the turning point is significant, we used the nlcom command in STATA for low versus high values of each moderator in our model. As Web AppendixEreports, in all four cases, the results are not significant, suggesting that the shift in the turning point is ...
Let's learn to load commonly used CSV, TXT, Excel, JSON, Database, and XML/HTML data files in R. Moreover, we will also look at less commonly used file formats such as SAS, SPSS, Stata, Matlab, and Binary. Furthermore, we will use URLs to scrape HTML tables and XML data from ...
to look like this but with CLVEF and CPGPRESV and in the box. I made the legend in the picture with mergedlegend "BNPPRONT" "BNPPRONT1"; seriesplot x=xval y=BNPPRONT / name="BNPPRONT" lineattrs=(color=red pattern=dash) yaxis=y /*curvelabel='NTproBNP' curvelabelattrs=...
Some methods of supporting healthcare workers in changing their behaviour make use of social norms by exposing healthcare workers to the beliefs, values, attitudes or behaviours of a reference group or person. This review aimed to evaluate evidence on (i) the effect of social norms interventions...