Sensitivity and specificity, as defined previously, depend on the cut-off point used to define positive and negative test results. To determine the best cut-off point shift that optimizes sensitivity and specificity, the receiver operating characteristic (ROC) curve is often used. This is a plot...
From "Meredith T. Niles" <mtniles@ucdavis.edu> To <statalist@hsphsun2.harvard.edu> Subject st: Interpreting mediation model sobel goodman test Date Tue, 18 Oct 2011 10:41:22 -0700Hello all, I am working on running multiple and single mediation models to assess farmer climate change ...
> > change practices. I am getting an odd result when running a Sobel > > goodman test in Stata with regards to the portion of total effect > that > > is mediated (5.139). Does anyone have any perspective on why this > > number is so large? Running the same test with another set...
The Stata Journal 4(2): 154-167. Rainey, Carlisle. 2016. “Compression and Conditional Effects: A Product Term Is Essential When Using Logistic Regression to Test for Interaction.” Political Science Research and Methods 4(3): 621-639.
Stata statistical software (StataCorp), version 13, was used. Results Test Set Cases Nearly half of the 240 cases were from women aged 40 to 49 years (49%); the remainder were from women aged 50 to 59 years (28%), 60 to 69 years (12%), and 70 years or older (11%). Breast ...
The following Stata code produced many of the tables and charts included in this chapter. Because of space constraints, we have omitted various parts of the code such as data management steps and much of the analysis beyond Hurricane Katrina; we are happy to share complete .do files by reques...
But the problem is that there are no concrete results in the literature for testing for weak IVs when the i.i.d. assumption fails. The only thing one can do (that I'm aware of, anyway) is to point to stats that have an asymptotic justification in a test of underidentification, which...
saturated: chi2(13) = 2.035703 1.625266 1.978009 1.855321 2.59467 2.368191 2.438014 2.704517 12.47, Prob > chi2 = 0.4899 25 / 38 Postestimation Standard postestimation Most standard postestimation features in Stata work after sem test, lrtest, lincom, testnl, nlcom, predict, and the estimates ...
AuthorWilliam Gould, StataCorp The results thatxtreg, fereports have simply been reformulated so that the reported intercept is the average value of the fixed effects. Intuition One way of writing the fixed-effects model is yit= a + xitb + vi+ eit(1) ...
> > Yes, I only included the summary first stage regression > results. Below is the complete output produced by STATA. > > > As you can see the Cragg Donald and > > Kleibergen Paap stats both suggest that the instruments are not weak. > > However, the AR and SW stats suggest that...