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lsmeffect
2011 Feb 03
0
Mixed Model Logistic Weighting
...participants
nested within state with a certain amount of covariates. Here is what my
model looks like:
m1 <- lmer(Overweight ~ age + factor(A_RACE_G) + Prevalance +
HH_Income_Dicot + Unemployment_Rate + Intensity_effect + (1 | state2) +
GSD_EFFECT + FMA_EFFECT + BMI_EFFECT + DBS_EFFECT + NSM_EFFECT + NCF_EFFECT
+ ACF_EFFECT + NES_EFFECT + AMS_EFFECT + FTS_EFFECT + PRI_EFFECT +
PUI_EFFECT + MLR_EFFECT + PES_EFFECT + PAS_EFFECT + PFA_EFFECT + HES_EFFECT
+ SRS_EFFECT + SWP_EFFECT + TAX_EFFECT + WBP_EFFECT, data = reduced, family
= binomial (link = "logit"), REML = FALSE)
My m...