v1 and v2 are two variables. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ References: st: How to compare the values of variables for respondent and his spouse within ...
Before we dive into the test, let’s take a moment to understand how the contingency table for two classifiers is calculated. A contingency table is a tabulation or count of two categorical variables. In the case of the McNemar’s test, we are interested in binary variables correct/incorrect...
FromStas Kolenikov To"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> SubjectRe: st: How to compare models after svy DateTue, 21 May 2013 09:17:21 -0400 What you are used to in logistic regression modeling, and what you refer as deviance differences, are essentially...
#To print the range of salary packages range.sal <- range(read.data$empsalary) print(range.sal) Output: [1] 20000 36000 #To print the details of a person with the highest salary, we use the subset() function to extract variables and observations max.sal <- subset(read.data, empsalary...
These last two variables allowed us to control for the decreasing influence of cultural factors on fertility and the increasing trend towards individualization and secularization. We also controlled for the presence of children in the household (regardless of which partner was the biological parent) ...
the Wald test is commonly used to perform multiple degree of freedom tests on sets of dummy variables used to model categorical variables in regression (for more information see our webbook on Regression with Stata, specificallyChapter 3 - Regression with Categorical Predictors). Another example is ...
special case ofstructural equation modeling (SEM). You specify factor loadings as a set ofregressionstatements from the factor to the observed variables.” With EFA, it’s possible to specify a few factors and a particular rotation; you can then compare your results to see if they fit your ...
Randomization to Clinical Scenario Participants were further randomized (1:1:1:1) to 1 of 4 possible scenarios. Each scenario asked participants to imagine themselves as Jamie, “a healthy 45-year-old who lives with two other people, works from home, has not been vaccinated against COVID-19...
MCAR occurs when the probability of missing data on a variable is unrelated to the values of that variable or any other variables in the datasets. In other words, the columns with missing data do not have an interdependency. The missing data is completely random and does not introduce bias....
Dear STATA users, I wonder how I can compare the values of a variable, say var1, at different observations? (In particular I want to do regressions such as the one below) if var1(at line 2) = var1(at line 10 ) { regress y x in 2/10 } Thanks for suggestions, Sarah On 7/18...