Table 4.

Treatment effect estimates using each approach with corresponding standard error, p-value, design effect, maximum ASB and number of trees for dog ownership study; t^m(Y, X) indicates the MSE-based method that uses outcome information, t^m(X) indicates the MSE-based method that does not use outcome information, t^a(0.20) and t^a(0.10) indicate the ASB-based methods that use a 0.20 and 0.10 threshold, respectively, t^p(0.05) and t^p(0.10) indicate the p-value based methods that use a 0.05 and 0.10 threshold, respectively

Case study: Dog ownership
	Unweighted	twang	ta(.20)	ta(.10)	tm(Y, X)	tm(X)	tp(0.05)	tp(0.10)
Estimate	0.27	0.04	0.06	0.03	0.04	0.03	0.04	0.04
SE	0.02	0.03	0.03	0.03	0.03	0.03	0.03	0.03
p-value	< 0.01	0.29	0.04	0.31	0.29	0.29	0.29	0.29
Design effect	1	1.57	1.28	1.53	1.57	1.56	1.57	1.57
Maximum ASB	0.85	0.09	0.19	0.10	0.09	0.09	0.09	0.09
Number of trees	–	2684	274	1698	2684	2465	2684	2684