- see [[220323_112352 t1-t0 difference]] model for comparison model 1: quasipoisson model with time 0 count (`t0LC`) as predictor/covariate - two rows per user - `t1`: outcome (bad, good domain count) - `conditionC`: -0.5, 0.5 (control, treatment indicator) - `qualityC`: -0.5, 0.5 (bad, good domain indicator) - `t0LC`: time0 count (bad, good domain count; log-transformed then centered) ```r > m <- feglm(t1 ~ conditionC * qualityC * t0LC | block, dt1, family = "quasipoisson", vcov = ~ screen_name) NOTE: 266 fixed-effects (2,910 observations) removed because of only 0 outcomes. > m GLM estimation, family = quasipoisson, Dep. Var.: t1 Observations: 62,866 Fixed-effects: block: 5,158 Standard-errors: Clustered (screen_name) Estimate Std. Error t value Pr(>|t|) conditionC 0.053382 0.036337 1.469054 0.141828 qualityC 2.415746 0.032736 73.795682 < 2.2e-16 *** t0LC 0.986016 0.016214 60.813525 < 2.2e-16 *** conditionC:qualityC -0.194418 0.064484 -3.014978 0.002572 ** conditionC:t0LC 0.016316 0.029032 0.562013 0.574111 qualityC:t0LC -1.005236 0.027283 -36.845423 < 2.2e-16 *** conditionC:qualityC:t0LC -0.010885 0.054878 -0.198359 0.842766 ``` model 2: quasipoisson model with time 0 count (`t0_badLC`, `t0_goodLC`) as separate predictors - two rows per user - `t0_badLC`: time0 bad domain count (log-transformed then centered) - `t0_goodLC`: time0 good domain count (log-transformed then centered) ```r > m <- feglm(t1 ~ conditionC * qualityC * (t0_badLC + t0_goodLC) | block, dt2, family = "quasipoisson", vcov = ~ screen_name) NOTE: 266 fixed-effects (2,910 observations) removed because of only 0 outcomes. > summary(m) GLM estimation, family = quasipoisson, Dep. Var.: t1 Observations: 62,866 Fixed-effects: block: 5,158 Standard-errors: Clustered (screen_name) Estimate Std. Error t value Pr(>|t|) conditionC 0.055417 0.048358 1.145983 0.251811 qualityC 3.612403 0.044214 81.702289 < 2.2e-16 *** t0_badLC 0.727530 0.017496 41.582303 < 2.2e-16 *** t0_goodLC 0.236764 0.021528 10.997869 < 2.2e-16 *** conditionC:qualityC -0.185196 0.088616 -2.089875 0.036637 * conditionC:t0_badLC 0.040933 0.034325 1.192500 0.233074 conditionC:t0_goodLC -0.013279 0.039269 -0.338141 0.735259 qualityC:t0_badLC -1.521137 0.028291 -53.766779 < 2.2e-16 *** qualityC:t0_goodLC 0.497291 0.036347 13.681918 < 2.2e-16 *** conditionC:qualityC:t0_badLC -0.010142 0.057090 -0.177643 0.859004 conditionC:qualityC:t0_goodLC 0.042030 0.072963 0.576050 0.564585 ```