We instantiated the models from our companion paper in the OpenMx software, and compared the true values of parameters to maximum likelihood estimates from models fitted on the simulated data to quantify the bias and precision of estimates. We show that parameter estimates from these models are ...
1. faithful measurement or representation of the truth; correctness; precision 2. (General Physics) physics chem the degree of agreement between a measured or computed value of a physical quantity and the standard or accepted value for that quantity Collins English Dictionary – Complete and Unabridg...
This article investigates an effect size (MLM ES) and its variance for cluster randomized trials based on parameter estimates from multilevel modeling analysis. Accuracy and precision of MLM ES were evaluated using Monte Carlo simulation methods and compared with the performance of an effect size, ...
limit theorem, which states that for large counts, Poisson-distributed noise can be effectively modeled by a Gaussian distribution. Several studies have explored the behavior of Gaussian parameter errors in the Gaussian noise limit20,21,22,23,24,25,26,27,28. Our derivation method is similar to ...
With small samples these rates need to be estimated from the training data, so a natural question arises: How well do the estimates of the AUC, TPR and FPR compare with the true metrics?Through a simulation study using data models and analysis of real microarray data, we show that (i) ...
All models provided accurate predictions and residuals without trends, but the fit of CV and BI models was improved by IRT-informed functions. The IRT-informed BI model had more precise parameter estimates than the IRT-informed CV model. The IRT-informed models also had the best performance on...
The accuracy of item parameter estimates in the multidimensional item response theory (MIRT) model context is one that has not been researched in great det... Finch,H. - 《Applied Psychological Measurement》 被引量: 48发表: 2010年 [Accuracy of indirect estimates of renal function in advanced ...
We conclude that our method of estimating STD predicts normal, in vivo data very well, and propose that the deviation from these estimates is a potential tissue characterization parameter. 展开 关键词: Tissue characterization Attenuation Backscatter Precision Accuracy Diffraction correction Inter- and ...
Forest plot of average biomarker residuals characterizing each profile. Points and error bars represent estimates and 95% confidence intervals of average residual values of each biomarker. The dashed line represents a residual of 0. Female sample sizes: UKB = 77,207; TMS = 1,542; RS...
In the current study, there were 13 parameter estimates per sex, out of which 8 and 7 parameters for males and females (62, and 54%), respectively had small CI in the DCP3 data set. In the DCP4 data set, 38% of male and 46% of female parameter estimates had smaller CI. It ...