verteu
Joined 13 years ago
Joined 13 years ago
> In the full sample, the estimated postpolicy association was 0.65 (95% CI, 0.01-1.30; P = .05) for depressive symptoms, 0.21 (95% CI, −0.08 to 0.50; P = .16) for anxiety, 0.23 (95% CI, −0.12 to 0.59) for hostility, and −0.52 (95% CI, −1.08 to 0.03; P = .06) for mental well-being.
> Although a small number of estimates were suggestive of worse outcomes before multiple testing correction, none remained statistically significant after prespecified correction. Results were similarly null in gender-stratified analyses.
One possibility is "adjust the minimum wage for inflation," but they seem to be against this: https://www.google.com/search?client=firefox-b-1-d&q=the+eco...
In my experience, those numbers are low for the US. This is about accurate: https://www.levels.fyi/companies/google/salaries/software-en...
> While a broad set of confounding factors with distant relationship to cancer are included in the model, sources of carcinogenic pollutants are inexplicably missing. NPPs tend to be located in industrialized and densely populated regions to minimize cost of transmission. Other industries, particular chemical and petrochemical plants are well established sources of carcinogens, yet they are not considered as a confounding factor. Occupational hazards are also excluded from the model.
Any details of the methodology? Is it possible some mistakes were made during this "trial and error"?
edit: Some aggregated data is available from https://pmc.ncbi.nlm.nih.gov/articles/PMC12929679/ , but far from enough to reproduce: https://media.springernature.com/original/springer-static/es...
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