Each of these web sites is really a fairly complete online statistical software package in itself.Here are some of these "comprehensive" statistical analysis web sites: Check out the Power And Sample web site, which contains (at last count) 19 interactive calculators for power or required sample size for many different types of statistical tests: testing 1 mean, comparing 2 or more means, testing 1 proportion, comparing 2 or more proportions, testing odds ratios, and two 1-sample tests (normal and binomial-based).

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The web pages listed below comprise a powerful, conveniently-accessible, multi-platform statistical software package.

There are also links to online statistics books, tutorials, downloadable software, and related resources.

This calculator is implemented in Java, and can be run as a web page, or can be downloaded to your computer to run offline as a stand-alone application.

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One is the best-subset selection associated with criteria such as cross-validation (CV, [6]), generalized cross-validation (GCV, [7]), AIC [8], and BIC [9].

The other is based on regularization methods such as LASSO [10], SCAD [11], and adaptive LASSO [12], with tuning parameters selected by the same criteria such as CV and BIC.

If there are many covariates, the variable selection issue arises in terms of the consideration of model interpretation and estimability.

There are two main groups of variable selection procedures.

Also, genome-wide association studies in human populations aim at creating genomic profiles which combine the effects of many associated genetic variants to predict the disease risk of a new subject with high discriminative accuracy [1].