. Author manuscript; available in PMC: 2010 Oct 12.

Published in final edited form as: Stat Med. 2009 May 15;28(11):1620–1635. doi: 10.1002/sim.3563

Table IV.

Mean bias, MSE, correlation and SE for predicted values with two independent variables following a log-normal distribution.

Sample size, method	Mean bias	MSE	Correlation	SEE
$n = 300 (m_{1}^{*} = m_{2}^{†} = m_{3}^{‡} = 100)$ , New	−10.2079	199764.1000	0.9376	254.6255
$n = 300 (m_{1}^{*} = m_{2}^{†} = m_{3}^{‡} = 100)$ , SHR	85.9998	47835.6600	0.9335	—
$n = 3000 (m_{1}^{*} = m_{2}^{†} = m_{3}^{‡} = 1000)$ , New	1.0546	17442.6700	0.9918	71.3051
$n = 3000 (m_{1}^{*} = m_{2}^{†} = m_{3}^{‡} = 1000)$ , SHR	66.5488	12226.2700	0.9328	—

Note: Correlation is the mean correlation between observed and predicted values across simulations. SEE is the mean of standard error estimates for predicted values.

The sample size for subset with only outcome Y and predictor X₁.

^†

The sample size for subset with only outcome Y and predictor X₂.

^‡

The sample size for subset with only predictors X₁ and X₂.