Sentence examples for large simulation studies from inspiring English sources

The BYM model may be closer to the true data generating model than the alternative Poisson-Gamma model, but spatially structured models may also be anticonservative even if the BYM has been proved to behave quite well in large simulation studies (Lawson et al., 2000).

Using a real data set regarding Japanese banks and a large simulation study, this research confirms that the Extended DEA-DA outperforms conventional linear and nonlinear discriminant analysis techniques.

We performed a paired comparison of the Rolling 6 and 3 + 3 designs via a large simulation study over a wide spectrum of conditions defined by inter-patient arrival time, number of doses, DLT dose response slope, DLT dose response shape, and starting dose.

In Section 4, we present the results of a large simulation study on the performance of error estimators with bagged classification rules.

While the significance level is no longer maintained, based on the results of a large simulation study, the scheme's empirical levels were generally close to the nominal value.

By examining results from a large simulation study we found there is no clear "winner".

This large simulation study documented the robustness of the Poisson-Gamma and BYM models.

We conduct a large simulation study in Section 4 to show improved parameter estimation when using the proposed LCAR prior distribution.

We compared the performance of four methods of analysis (fixed-effects models, random-effects models, generalised estimating equations (GEE), and Mantel-Haenszel) using a re-analysis of a previously reported randomised trial (MIST2) and a large simulation study.

The use of wet weight serum PCB concentrations (e.g. ng/g serum) in multivariate regression models with adjustment for serum lipids as a covariate was shown to be least prone to bias in a large simulation study [ 5].

A large simulation study comparing all methods of standardisation, reflecting real life data with missing values, and looking at outcomes such as the detection of outliers would be necessary.