- [[221102_182033 proportion users not exposed to any bad stuff|proportion users (per day) with exposure score = 0]] Results for weighted regressions are much weaker than [[221021_131830 32k pilot campaign - models with t0 and exposure covariates|models/results without weights]]. Nothing is significant when we use raw weights (raw exposure scores), and a few are significant when we use `sqrt(exposure)` weights. Note: Network exposure variables used for weighting are also winsorized! See [[221020_161056 compare sqrt and log transform#exposure distribution|network exposure distributions]]. # regression weighted by raw exposure ## count badness ![[_count_winsorize-0.95-clustse 6.png]] ## summed badness ![[_sum_winsorize-0.95-clustse 6.png]] --- old analyses below # regressions weighted by sqrt(exposure) ## count badness ![[_count_winsorize-0.95-clustse 5.png]] ## summed badness ![[_sum_winsorize-0.95-clustse 5.png]]