TY - JOUR T1 - Tests for paired count outcomes JF - General Psychiatry JO - Gen Psych DO - 10.1136/gpsych-2018-100004 VL - 31 IS - 1 SP - e100004 AU - James A Proudfoot AU - Tuo Lin AU - Bokai Wang AU - Xin M Tu Y1 - 2018/09/01 UR - http://gpsych.bmj.com/content/31/1/e100004.abstract N2 - For moderate to large sample sizes, all tests yielded pvalues close to the nominal, except when models were misspecified. The signed-rank test generally had the lowest power. Within the current context of count outcomes, the signed-rank test shows subpar power when compared with tests that are contrasted based on full data, such as the GEE. Parametric models for count outcomes such as the GLMM with a Poisson for marginal count outcomes are quite sensitive to departures from assumed parametric models. There is some small bias for all the asymptotic tests, that is,the signed-ranktest, GLMM and GEE, especially for small sample sizes. Resampling methods such as permutation can help alleviate this. ER -