Sentence examples for major statistical packages from inspiring English sources

7 8 24 25 26 27 28 IV estimators are available in most major statistical packages.

A common way to fit mixed models to data is the residual maximum likelihood (REML) algorithm, which is available in all major statistical packages.

MI is now implemented in many major statistical packages (including Stata [ 20] and SAS [ 21]) making it an easily accessible method.

Three features matrices for major statistical packages are included as potential aids to Japanese statisticians in assessing the utility of these packages in biostatistical applications.

Logistic regression and survival model routines, both basic approaches to predictive modeling, are found in all major statistical packages (e.g., SAS (Proc Logistic, …), Stata (logistic or logit, stcox, etc).. Routines for calculating empirical Bayes shrinkage estimates for n-of-1 trials are available in S-Plus, with more general Bayesian approaches available in WinBUGS or in R with R2WinBUGS.

Automatic variable selection methods, including forward selection, backward elimination, and stepwise selection (hereafter, 'stepwise methods') [ 6, 7] were developed in 1960s and gained popularity in epidemiology and other fields for a number of reasons, including computational simplicity, relative ease of interpretation, and their implementation in major statistical software packages [ 3].

Concerning the estimating procedures, the GEE method for marginal models is not difficult to implement and is now available in the major statistical analysis packages.

The main disadvantage is that these plots are not readily available in major statistical or graphical software packages.

R statistical packages were used to validate the data.

statistical packages.

Statistical Packages for Social Sciences (S.P.S.S).