13 / 40 DDML models The DDML framework can be applied to other models (all implemented in ddml): Interactive model Y = g0(D, X) + U (2) where D is a scalar binary variable and that D is not required to be addit
(all implemented in ddml): Interactive model yi = g (di , xi ) + ui zi = m(xi ) + vi E [ui |xi , di ] = 0 E [ui |xi ] = 0 As in the Partial Linear Model, we are interested in the ATE, but do not assume that di (a binary treatment variable) and xi are separable...
Double lassoPost selection inferenceWe extend the Heckman (1979) sample selection model by allowing for a large number of controls that are selected using lasso under a sparsity scenario. The standard lasso estimation is known to under-select causing an omitted variable bias in addition to the ...
The Student's t-test or the Mann-Whitney test was used if the variable was continuous and according to its distribution. In addition, an analysis of hospitalization-free survival was performed using the log-rank test with its corre- sponding Kaplan-Meier curve and the Cox regression test. ...
Models 1, 2 and 3 were repeated for neighborhood double disadvantage as the independent variable, with neighborhood double disadvantage replacing urbanicity in the models. Models were fitted using Stata v17 and MLwiN v3.06 statistical software, using the runmlwin command to execute MLwiN within Stata...
Data were analyzed using Stata 11.2 software (College Station, TX, Jamshidi et al. Arthritis Research & Therapy (2017) 19:168 Page 4 of 9 USA) and plotted using GraphPad prism version 6.0 (GraphPad Software, USA). Results A total of 216 subjects were screened across 10 hospitals in Iran,...
3.1.2. Main explanation variable The main explanation variable in this paper is the digital economy index for various provinces in China. In line with existing research (Chen, 2022; Wang et al., 2024), the digital economy is measured using several indicators: the digital inclusive finance index...
HDRS was the dependent variable. Our primary hypothesis was that the interaction of time with group would be significant, with active dTMS being superior to sham at week 4. After that, pairwise comparisons were performed at each time point (contrast command in Stata). Similar analyses were ...
Moreover, when I try to issue the following command: generate double x = 9223372034619058931 I get the variable *x* with all values being equal to 9223372034619059200, again. I have found a workaround by forcing Stata to read these numbers in as strings. But I would like to try to avoid...
I ask, in response, if the variable in question is an identifier why do you want to convert it to numeric? Do you want to do calculations with it? In most cases I have heard of there is no gain in converting identifiers to numeric, even when all the characters are numeric. Nick n....