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analyse des données --- Sas (logiciel)

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Social sciences --- Sciences sociales --- Statistical methods --- Méthodes statistiques --- SAS (Computer program) --- SPSS X (Computer program) --- SAS (Logiciel) --- SPSS X (Logiciel)

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Easy to read and comprehensive, Survival Analysis Using SAS: A Practical Guide, Second Edition, by Paul D. Allison, 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. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. Survival Analysis Using SAS: A Practical Guide, Second Edition, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data.

Failure time data analysis --- Survival analysis (Biometry) --- Survival Analysis --- Automatic Data Processing --- Data processing --- SAS (Computer file) --- Analyse de survie (biométrie) --- SAS (logiciel) --- Temps entre défaillances, Analyse des --- Statistique médicale --- Informatique --- QA 76.755 - Computer Software. Handbook --- SAS --- Handbooks --- Software --- Electronic data processing --- Statistique médicale. --- Informatique. --- Failure time data analysis - Data processing --- Survival analysis (Biometry) - Data processing

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#SBIB:303H520 --- #SBIB:303H4 --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- Informatica in de sociale wetenschappen --- Regression analysis --- #SBIB:003.AANKOOP --- Data processing --- SAS (Computer file) --- Statistical analysis system --- SAS system --- 303.5 --- 305.971 --- AA / International- internationaal --- Theorie van correlatie en regressie. (OLS, adjusted LS, weighted LS, restricted LS, GLS, SLS, LIML, FIML, maximum likelihood). Parametric and non-parametric methods and theory (wiskundige statistiek) --- Speciale gevallen in econometrische modelbouw --- Programming --- Mathematical statistics --- SAS (logiciel) --- Statistical methods --- Data analysis --- Computer software --- computer applications --- Regression analysis - Data processing

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R is a powerful and free software system for data analysis and graphics, with over 1,200 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. Robert A. Muenchen is the manager of the Statistical Consulting Center at the University of Tennessee and has 28 years of experience as a consulting statistician. He has served on the advisory boards of SPSS Inc. and the Statistical Graphics Corporation. "This is a really great book. It is easy to read, quite comprehensive, and would be extremely valuable to both regular R users and users of SAS and SPSS who wish to switch to or learn about R…An invaluable reference." - David Hitchcock, University of South Carolina "Thanks for writing R for SAS and SPSS Users--it is a comprehensible and clever document. The graphics chapter is superb!" - Tony N. Brown, Vanderbilt University "This is a Rosetta Stone for SPSS and SAS users to start learning R quickly and effectively." - Ralph O'Brien, ASA Fellow "I am a professional SAS and SPSS programmer and found this book extremely useful." - Tony Chu, Public Policy Research Data Analyst.

Image processing. --- Image restruction. --- Imaging systems in medicine. --- R (Computer program language). --- Radio astronomy. --- SAS (Computer file). --- SPSS (Computer file). --- Sun --Corona. --- Tomography. --- R (Computer program language) --- Image Enhancement --- Tomography --- Image Processing, Computer-Assisted --- Photography --- Diagnostic Imaging --- Diagnostic Techniques and Procedures --- Computing Methodologies --- Information Science --- Diagnosis --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- SAS (Computer file) --- SPSS (Computer file) --- GNU-S (Computer program language) --- Statistical package for the social sciences --- Statistical analysis system --- SAS system --- Ferroelectric crystals. --- Photoferroelectric effect. --- Cristaux ferroélectriques --- Cristaux ferroélectriques --- Image restruction --- 681.3*J0 --- Image processing: image displays; image processing software (Computing methododologies) --- Computerwetenschap--?*J0 --- 681.3*I4 Image processing: image displays; image processing software (Computing methododologies) --- Mathematics. --- Mathematical statistics. --- Data mining. --- Computer graphics. --- Computer software. --- Statistics. --- Psychology --- Psychological measurement. --- Mathematical Software. --- Statistics and Computing/Statistics Programs. --- Probability and Statistics in Computer Science. --- Data Mining and Knowledge Discovery. --- Computer Graphics. --- Psychological Methods/Evaluation. --- Methodology. --- 681.3*A0 --- 681.3*I4 --- 681.3*I5 --- 681.3*I5 Pattern recognition (Computing methodologies) --- Pattern recognition (Computing methodologies) --- 681.3*A0 General --- General --- Domain-specific programming languages --- Radio astronomy --- Imaging systems in medicine --- Sun --- Corona --- Computer science. --- Psychological tests and testing. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Software, Computer --- Computer systems --- Digital techniques --- Statistical methods --- Statistics . --- Psychology—Methodology. --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics --- Measurement --- Scaling --- Methodology --- SAS (Logiciel) --- SPSS (Logiciel) --- Sun - Corona