RT Journal Article
SR Electronic
T1 Tests for paired count outcomes
JF General Psychiatry
JO Gen Psych
FD BMJ Publishing Group Ltd
SP e100004
DO 10.1136/gpsych-2018-100004
VO 31
IS 1
A1 James A Proudfoot
A1 Tuo Lin
A1 Bokai Wang
A1 Xin M Tu
YR 2018
UL http://gpsych.bmj.com/content/31/1/e100004.abstract
AB 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.