BERD Resource by Statistical Package: SAS

Updated at 8:05 am on 23SEP2022

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 http://blogs.sas.com/content/graphicallyspeaking/ A blog by SAS Institute which discusses new graphical features and tips. graphics 3 1 No SAS
Website Michael Friendly's personal website http://www.datavis.ca/courses/index.php 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 http://blogs.sas.com/content/iml/ 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 http://www2.sas.com/proceedings/forum2007/183-2007.pdf 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 SAS® 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
Website SAS Class Notes https://stats.idre.ucla.edu/sas/seminars/notes/ The class notes are not meant to be a SAS textbook or a reference manual. However, it is possible for individuals to use the class notes to help in learning SAS even if they don't enroll in the classes. - Entering Data - Exploring Data - Modifying Data - Managing Data - Analyzing Data - General Information SAS; SAS programming . . No SAS
Website UCLA Institute for Digital Research and Education https://stats.idre.ucla.edu/ Lots of resources like software (SAS, R, STATA, SPSS, M+), data analysis examples, codes and output, SAS macros, how to choose correct statistical tests, etc. SAS; R; STATA; SPSS; M+; data analysis examples; SAS code; SAS macros; choose correct statistical tests 4 4 No SAS, SPSS, R, M+,
Website Cause-Specific Analysis of Competing Risks Using the PHREG Procedure https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/2159-2018.pdf Competing-risks analysis extends the capabilities of conventional survival analysis to deal with time-to-event data that have multiple causes of failure. Two regression modeling approaches can be used: one focuses on the cumulative incidence function (CIF) from a particular cause, and the other focuses on the cause-specific hazard function. These two quantities, unlike the hazard function and the survival function in conventional survival settings, are not connected through a simple one-to-one relationship. The Fine and Gray model extends the Cox model to analyze the cumulative incidence function but is often mistakenly assumed to be the only modeling technique available. The cause-specific approach that simultaneously models all the cause-specific hazard functions offers a more natural interpretation. SAS/STAT 14.3 includes updates to the PHREG procedure to perform the cause-specific analysis of competing risks. This paper describes how cause-specific hazard regression works and compares it to the Fine and Gray method. Examples illustrate how to interpret the models appropriately and how to obtain predicted cumulative incidence function. hazard function; competing risks; survival analysis 3 4 No SAS
Website Fitting Compartment Models Using PROC NLMIXED https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/1883-2018.pdf The CMPTMODEL statement is a new enhancement to the NLMIXED procedure in SAS/STAT® 14.3. This statement enables you to fit a large class of pharmacokinetics (PK) models, including one-, two-, and three-compartment models, with intravenous (bolus and infusion) and extravascular (oral) types of drug administration. The CMPTMODEL statement also supports multiple dosages and PK models that have various parameterizations. This paper introduces the new statement and illustrates its usage through examples. Related concepts are also discussed, such as the %PKCONVRT autocall macro (which converts PK data sets that are stored according to industry standard to data sets that can be directly used by PROC NLMIXED), extension to Emax models, prediction, visualization, and fitting Bayesian PK models (by using the MCMC procedure). pharmacokinetic models; PK; one compartment model; two compartment model; three compartment model; 4 4 No SAS
Website Causal Mediation Analysis with the CAUSALMED Procedure https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/1991-2018.pdf Important policy and health care decisions often depend on understanding the direct and indirect (mediated) effects of a treatment on an outcome. For example, does a youth program directly reduce juvenile delinquent behavior, or does it indirectly reduce delinquent behavior by changing the moral and social values of teenagers? Or, for example, is a particular gene directly responsible for causing lung cancer, or does it have an indirect (mediated) effect through its influence on smoking behavior? Causal mediation analysis deals with the mechanisms of causal treatment effects, and it estimates direct and indirect effects. A treatment variable is assumed to have causal effects on an outcome variable through two pathways: a direct pathway and a mediated (indirect) pathway through a mediator variable. This paper introduces the CAUSALMED procedure, new in SAS/STAT® 14.3, for estimating various causal mediation effects from observational data in a counterfactual framework. The paper also defines these causal mediation and related effects in terms of counterfactual outcomes and describes the assumptions that are required for unbiased estimation. Examples illustrate the ideas behind causal mediation analysis and the applications of the CAUSALMED procedure. causal mediation; mediator; observational data; counterfactual analysis; 3 4 No SAS
Website UCLA Institute for Digital Research & Education Data Analysis Examples https://stats.idre.ucla.edu/other/dae/ This page contains links to examples illustrating the application of different statistical analysis techniques using different statistical packages. regression models; count models; censored and truncated regression; multivariate analysis; mixed effect models; power analysis 3 4 No SAS, SPSS, R, M+,
Website Trimming the length of REDCap variables https://www.pharmasug.org/proceedings/2012/CC/PharmaSUG-2012-CC17.pdf The default length of non-validated text variables in REDCap is $500. This tends to bloat the resulting SAS data set. There is a SAS macro in the referenced web page that sets the length of the text variables to the maximum value actually found in the data. REDCap;variable length;trim;$500 2 1 No SAS
Book Missing Data: Analysis and Design https://amazon.com/dp/1461440173 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 https://www.amazon.com/dp/1599946408 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
Book Analysis of Observational Health Care Data Using SAS https://www.amazon.com/Analysis-Observational-Health-Care-Using/dp/1607642271/ref=sr_1_1?s=books&ie=UTF8&qid=1515099599&sr=1-1&keywords=analysis+of+observational+health+care+data+using+sas analysis of Observational Health Care Data Using SAS with many SAS code examples, includes examples of propensity score methods and cost-effectiveness analysis, etc. very practical and useful. observational data; propensity score methods; cost-effectiveness analysis 4 4 Yes SAS
Book Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling https://www.amazon.com/Multilevel-Analysis-Introduction-Advanced-Modeling/dp/184920201X/ref=mt_paperback?_encoding=UTF8&me= Introduction to multilevel analysis, topics include hierarchical linear model, random coefficients models, how to calculate ICC, how much does a model explain, etc. multilevel analysis; hierarchical linear model; random coefficients models; intra-class correlation coefficient; 4 5 Yes SAS, SPSS, R, M+,
Online Interactive Course Penn State Online Applied Statistics https://onlinecourses.science.psu.edu/statprogram/ 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
Online Interactive Course SAS tutorials http://video.sas.com/#category/videos/how-to-tutorials How To Use SAS Tutorials SAS; SAS Tutorials; SAS programming; SAS studio; . . No SAS
Online Interactive Course SAS e-Learning https://support.sas.com/edu/elearning.html?ctry=us&productType=library Excellent tool to learn the utilization of SAS. SAS; SAS macro; SAS modeling . 4 Yes SAS
Online Interactive Course SAS programming for beginners https://www.udemy.com/sas-programming-for-beginners/ Helps users get basic knowledge of SAS language and programming skills, designed for beginners, learning SAS step-by-step with hands-on SAS programs SAS; SAS programming; SAS basic . . Yes SAS
Online Interactive Course SAS Programming https://extension.ucsd.edu/courses-and-programs/sas-programming Per website, this course will help: - Importing, exporting, manipulating, transforming, and combining data - Create reports using SAS procedures - Advanced DATA step programming techniques - Using PROC SQL in SAS - Creating and using SAS Macros - Use ODS to create data visualizations and output in multiple formats SAS; SAS programming . . No SAS
Online Interactive Course Analytics Using SAS® https://www.capella.edu/online-degrees/certificate-analytics-sas/#/readMore SAS® Certification and a Digital Badge during Your Program SAS; SAS certification . . Yes SAS
Online Interactive Course Online Certificate in Applied Statistics using SAS http://csm.kennesaw.edu/statistics/programs/certificate-applied-statistics-sas-online.php This online program is an integrated extension of the highly respected traditional curriculum in Applied Statistics at Kennesaw State University (KSU). SAS; SAS online training; SAS programming . . Yes SAS
Online Interactive Course SAS Training and Tutorials https://www.lynda.com/SAS-tutorials/8038-0.html SAS for beginners SAS; SAS tutorials; SAS beginners . . Yes SAS
Online Interactive Course Master of Public Health https://www.jhsph.edu/academics/degree-programs/master-of-public-health/program-overview/online-part-time.html Master of Public Health (part-time online) offered by JHU/ Bloomberg School of Public Health master's degree . . Yes Any, SAS
Online Interactive Course Public Health Informatics https://www.jhsph.edu/academics/certificate-programs/certificates-for-hopkins-and-non-degree-students/public-health-informatics.html Certificate in BioInformatics offered by JHU/ Bloomberg School of Public Health certificate; BioInformatics; Informatics . . Yes Any, SAS
Online Interactive Course Doctor of Public Health  https://www.jhsph.edu/academics/degree-programs/doctoral-programs/doctor-of-public-health/ Doctor of Public Health offered by JHU/ Bloomberg School of Public Health PhD; Public Health; Doctor degree . 4 Yes Any, SAS
Interactive Program Data Science with SAS Certification Training https://www.simplilearn.com/big-data-and-analytics/data-scientist-certification-sas-excel-training Gain an understanding of SAS, statistics, PROC SQL, SAS macros SAS; SAS macro; PROC SQL; SAS statistics . 4 Yes SAS
Software to Download Locally Written SAS Macros http://www.mayo.edu/research/departments-divisions/department-health-sciences-research/division-biomedical-statistics-informatics/software/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 https://www.hsph.harvard.edu/donna-spiegelman/software/icc9/ 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 http://www.gpower.hhu.de/ 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) https://www.youtube.com/watch?v=Tu8jgNgLgfI 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
Video Instruction Portal to 200 SAS Video Tutorials http://video.sas.com/#category/videos/how-to-tutorials Video tutorials on a wide variety of SAS topics, from programming to statistics. Many use SAS Studio or Enterprise Guide. SAS tutorials; Enterprise Guide; SAS Studio;Viya 1 1 No SAS