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"Adding topics useful to medical statisticians, this new edition of a popular intermediate-level reference explores the use of SAS for analyzing medical data. A new chapter on visualizing data includes a detailed account of graphics for investigating data and smoothing techniques. The book also includes new chapters on measurement in medicine, epidemiology/observational studies, meta-analysis, Bayesian methods, and handling missing data. The book maintains its example-based approach, with SAS code and output included throughout and available online"--Provided by publisher.

Data Interpretation, Statistical. --- Mathematical Computing. --- SAS (Computer file)

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Programming --- Mathematical statistics --- Data processing. --- SAS (Computer file) --- 519.226 --- -#SBIB:303H4 --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Data processing --- Informatica in de sociale wetenschappen --- Statistical methods --- 519.226 Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- #SBIB:303H4 --- Statistical analysis system --- SAS system --- Mathematical statistics - Data processing. --- Statistique --- DATA INTERPRETATION, STATISTICAL --- METHODS

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Students and instructors of statistics courses using SAS University Edition will welcome this book. Learning fundamental statistics is essential to solving problems with SAS. Essential Statistics Using SAS University Edition demonstrates how to use SAS University Edition to apply a variety of statistical methodologies, from the simple to the not-so-simple, to a range of data sets. Learn how to apply the appropriate statistical method to answer a particular question about a data set, and correctly interpret the numerical results that you obtain. SAS University Edition users who are new to SAS or who need a refresher course will benefit from the statistics overview and topics, such as multiple linear regression, logistic regression, and Poisson regression.

Quantitative methods in social research --- SAS (Computer program language) --- Mathematical statistics --- Statistics --- Data processing --- Mathematical statistics - Data processing --- Statistics - Data processing