BERD Resource by Statistical Package

Type of Resource Title URL Description - Provide helpful comments about this resource Keywords - separate by semicolons Programming knowledge required (1=none to 6 professional programmer) Statistical knowledge level required (1=none, 4=masters level 6=PhD level) Is there a cost associated with this resource StatPackage
Website Graphically Speaking A blog by SAS Institute which discusses new graphical features and tips. graphics 3 1 No SAS
Website Michael Friendly's personal website A variety resources and code for producing graphs and analyzing data Graphics; Linear Models; Structural Equation Models; Categorical Models 3 3 No SAS, R
Website The DO Loop blog Rick Wicklin is a researcher in computational statistics at SAS and is a principal developer of PROC IML and SAS/IML Studio. This blog focuses on statistical programming. It discusses statistical and computational algorithms, statistical graphics, simulation, efficiency, and data analysis. IML; matrix programing; statistical computing 4 4 No SAS
Website Don't Be Loopy: Re-Sampling and Simulation the SAS Way An excellent paper by David Cassell presented the SAS user group about how to program resampling statistics in SAS. The most common way that people do simulations and re-sampling plans in SASĀ® is, in fact, the slow and awkward way. People tend to think in terms of a huge macro loop wrapped around a piece of SAS code, with additional chunks of code to get the outputs of interest and then to weld together the pieces from each iteration. But SAS is designed to work with by-processing, so there is a better way. A faster way. This paper will show a simpler way to perform bootstrapping, jackknifing, cross-validation, and simulations from established populations. It is simpler and more efficient to get SAS to build all the iterations in one long SAS data set, then use by-processing to do all the computations at once. This lets us use SAS features to gather automatically the information from all the iterations, for simpler computations afterward. resampling; bootstrap; jackknife; cross-validation; simulation 3 4 No SAS
Book Missing Data: Analysis and Design Missing Data: Analysis and Design contains essential information for both beginners and advanced readers. For researchers with limited missing data analysis experience, this book offers an easy-to-read introduction to the theoretical underpinnings of analysis of missing data; provides clear, step-by-step instructions for performing state-of-the-art multiple imputation analyses; and offers practical advice, based on over 20 years' experience, for avoiding and troubleshooting problems. For more advanced readers, unique discussions of attrition, non-Monte-Carlo techniques for simulations involving missing data, evaluation of the benefits of auxiliary variables, and highly cost-effective planned missing data designs are provided. missing data 3 4 Yes SAS, SPSS
Book Survival analysis using SAS: A practical Guide Easy to read and comprehensive is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. survival analysis 2 3 Yes SAS
Online Interactive Course Penn State Online Applied Statistics Penn State offers both a certificate and a masters degree program in applied statistics. All coursework can be taken online. Individual courses can also be taken. masters programs; certificate program 2 2 Yes SAS, R
Software to Download Locally Written SAS Macros The SAS macros below were written and are maintained by Mayo Clinic staff. They contain SAS source code, a brief description of the macro's function and an example of the macro call. Exact confidence intervals for a proportion; bootstrap; competing risk; case-control matching; survival analysis 3 4 No SAS
Software to Download ICC9 a SAS Macro for Intralass Correlation Coefficient By Donna Spiegelman this macro computes an Intraclass Correlation Coefficient and its 95% confidence interval. Intraclass Correlation Coefficient; ICC 3 3 No SAS
Software to Download G*Power G*Power is a tool to compute statistical power analyses for many different t tests, F tests, chi-sq tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses. power;sample size;software 2 4 No Any, SAS, SPSS, R,
Video Instruction Introduction to Graph Template Language (GTL) Youtube video with an introduction to SAS Graph Template Language (GTL). GTL programming allows a user to customize the ODS graphics from SAS procedures. It is particularly useful for customizing the survival plots from LIFETEST. SAS; Graph Template Language; GTL; LIFETEST 3 4 No SAS