Table 2.

Performance for scenario I with true intervention effect of ${\beta }_t=-0.264$

Event Generation model	Number of steps (clusters)
		AG model			PWP-TT model			PWP-GT model
		Bias	MSE	CP	Bias	MSE	CP	Bias	MSE	CP
Poisson	2	0.0267	0.0034	0.937	0.0006	0.0032	0.959	0.0393	0.0047	0.868
	4	0.0259	0.0036	0.941	0.0013	0.0036	0.948	0.0386	0.0051	0.894
	5	0.0266	0.0040	0.933	0.0021	0.0040	0.940	0.0380	0.0054	0.899
	8	0.0255	0.0041	0.943	0.0011	0.0041	0.938	0.0397	0.0056	0.896
	10	0.0251	0.0042	0.936	0.0016	0.0042	0.943	0.0376	0.0057	0.897
	20	0.0259	0.0042	0.938	0.0020	0.0042	0.949	0.0363	0.0057	0.912
Mixed-Poisson	2	0.0283	0.0035	0.930	0.0085	0.0032	0.947	0.0572	0.0065	0.785
	4	0.0284	0.0039	0.923	0.0099	0.0037	0.936	0.0563	0.0068	0.826
	5	0.0290	0.0041	0.927	0.0106	0.0039	0.938	0.0543	0.0067	0.844
	8	0.0282	0.0043	0.932	0.0097	0.0041	0.943	0.0547	0.0070	0.846
	10	0.0254	0.0042	0.937	0.0075	0.0042	0.947	0.0534	0.0071	0.845
	20	0.0281	0.0046	0.920	0.0097	0.0045	0.938	0.0530	0.0073	0.856
Weibull (constant)	2	0.0462	0.0052	0.870	0.0424	0.0050	0.882	0.0016	0.0032	0.944
	4	0.0546	0.0065	0.848	0.0509	0.0062	0.867	0.0003	0.0037	0.945
	5	0.0567	0.0067	0.858	0.0529	0.0065	0.864	0.0032	0.0037	0.949
	8	0.0563	0.0071	0.849	0.0522	0.0068	0.863	0.0016	0.0043	0.934
	10	0.0566	0.0072	0.842	0.0522	0.0069	0.860	0.0019	0.0042	0.945
	20	0.0553	0.0070	0.869	0.0496	0.0067	0.884	0.0004	0.0044	0.949
Weibull (change)	2	0.1229	0.0162	0.100	0.0253	0.0026	0.897	-0.0014	0.0019	0.950
	4	0.1221	0.0162	0.157	0.0299	0.0032	0.892	-0.0019	0.0021	0.963
	5	0.1247	0.0168	0.162	0.0328	0.0033	0.896	-0.0004	0.0022	0.955
	8	0.1240	0.0167	0.171	0.0330	0.0035	0.902	-0.0014	0.0024	0.954
	10	0.1250	0.0171	0.191	0.0348	0.0038	0.888	0.0010	0.0025	0.956
	20	0.1237	0.0169	0.222	0.0334	0.0038	0.901	-0.0012	0.0026	0.949

AG Andersen-Gill, PWP-TT Prentice-Williams-Peterson Total-Time, PWP-GT Prentice-Williams-Peterson Gap-Time, MSE Mean square error, CP Coverage probability