Skip to main content
. Author manuscript; available in PMC: 2014 Mar 1.
Published in final edited form as: Biometrics. 2013 Feb 5;69(1):245–253. doi: 10.1111/j.1541-0420.2012.01831.x

Table 2.

Percent bias, model-based standard errors (SE), and empirical standard errors (ESE) for four estimators for cumulative risk after ten rounds of screening for simulated data.

Moderate dependence Strong dependence
% Bias SE ESE % Bias SE ESE
Scenario 1: Independent censoring, constant risk
 Discrete survival −0.002 0.005 0.009
 Population average −0.009 0.003 0.005
 Adjusted population average 0.007 0.005 0.009
 Censoring bias −0.094 0.010 0.015
Scenario 2: Independent censoring, variable risk
 Discrete survival −0.007 0.005 0.008 −0.010 0.004 0.008
 Population average 5.209 0.003 0.005 20.552 0.003 0.005
 Adjusted population average 1.574 0.004 0.007 7.043 0.004 0.008
 Censoring bias −0.072 0.011 0.010 −0.074 0.009 0.018
Scenario 3: Dependent censoring, variable risk
 Discrete survival −4.708 0.004 0.005 −11.376 0.004 0.005
 Population average 9.630 0.001 0.002 10.148 0.002 0.002
 Adjusted population average 3.576 0.003 0.004 3.940 0.003 0.004
 Censoring bias −0.809 0.013 0.010 −4.435 0.011 0.007
Scenario 4: Dependent censoring, constant risk
 Discrete survival −1.993 0.019 0.032 −3.976 0.018 0.031
 Population average 0.696 0.003 0.006 0.709 0.003 0.006
 Adjusted population average 1.280 0.011 0.018 2.339 0.011 0.018
 Censoring bias −0.699 0.027 0.067 −1.022 0.025 0.070