Effect of the number of removed lymph nodes on prostate cancer recurrence and survival: evidence from an observational study

Gigliarano, Chiara; Nonis, Alessandro; Briganti, Alberto; Bonetti, Marco; Serio, Clelia Di

doi:10.1186/s12859-018-2180-8

Table 8 Root Mean Squared Error (MSE) and Bias for the estimation of the marginal survival probability S(1000) for the three groups defined by the number of nodes received

From: Effect of the number of removed lymph nodes on prostate cancer recurrence and survival: evidence from an observational study

Generation		Estimation					Unadjusted		Weighted		Doubly Robust
PM	SM	PM	SM	n	Nodes	S(1000)	\(\sqrt {\text {MSE}}\)	Bias	\(\sqrt {\text {MSE}}\)	Bias	\(\sqrt {\text {MSE}}\)	Bias
2	2	3	2	1000	1-10	0.4108	0.0948	-0.0329	0.1144	0.0423	0.0929	0.0095
					11-20	0.4108	0.0293	-0.0070	0.0287	-0.0027	0.0265	0.0005
					>20	0.4108	0.1091	0.0728	0.1038	-0.0715	0.0895	0.0159
2	2	3	2	5000	1-10	0.4067	0.0498	-0.0312	0.0668	0.0483	0.0398	0.0029
					11-20	0.4067	0.0141	-0.0068	0.0126	-0.0023	0.0116	-0.0001
					>20	0.4067	0.0778	0.0697	0.0813	-0.0747	0.0377	0.0011
2	2	3	2	10000	1-10	0.4069	0.0394	-0.0294	0.0569	0.0471	0.0283	0.0000
					11-20	0.4069	0.0112	-0.0064	0.0094	-0.0021	0.0085	0.0002
					>20	0.4069	0.0735	0.0692	0.0809	-0.0776	0.0275	0.0006
[5pt] 2	3	3	3	1000	1-10	0.4108	0.0948	-0.0329	0.1144	0.0423	0.0929	0.0095
					11-20	0.2971	0.0283	-0.0044	0.0282	-0.0010	0.0269	0.0014
					>20	0.5514	0.1056	0.0727	0.1250	-0.0866	0.0882	0.0173
2	3	3	3	5000	1-10	0.4067	0.0507	-0.0325	0.0657	0.0468	0.0397	0.0020
					11-20	0.2941	0.0131	-0.0044	0.0125	-0.0008	0.0121	0.0003
					>20	0.5461	0.0769	0.0690	0.1004	-0.0923	0.0373	0.0022
2	3	3	3	10000	1-10	0.4069	0.0391	-0.0289	0.0575	0.0478	0.0279	0.0001
					11-20	0.2936	0.0099	-0.0045	0.0090	-0.0010	0.0086	0.0001
					>20	0.5473	0.0708	0.0666	0.1008	-0.0969	0.0270	0.0013
[5pt] 2	3	2	4	1000	1-10	0.4108	0.0948	-0.0329	0.1067	-0.0060	0.0920	0.0186
					11-20	0.2971	0.0283	-0.0044	0.0284	0.0001	0.0270	0.0082
					>20	0.5514	0.1056	0.0727	0.0978	0.0009	0.1013	-0.0114
2	3	2	4	5000	1-10	0.4067	0.0498	-0.0312	0.0463	0.0003	0.0413	0.0056
					11-20	0.2941	0.0131	-0.0046	0.0125	-0.0000	0.0134	0.0069
					3	0.5461	0.0764	0.0687	0.0443	0.0002	0.0470	-0.0029
2	3	2	4	10000	1-10	0.4069	0.0391	-0.0289	0.0320	-0.0012	0.0290	0.0019
					11-20	0.2936	0.0099	-0.0045	0.0090	0.0000	0.0105	0.0065
					>20	0.5473	0.0708	0.0666	0.0317	-0.0001	0.0335	-0.0024

Either the propensity score model or the survival model (but not both) used in the estimation process is different from the corresponding model used for data generation. Results are based on 3000 simulated samples. PM stands for Propensity Score Model, and SM stands for Survival Model. Please refer to the text for the description of the models

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