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Quatrième de couverture : "Cet ouvrage est destiné aux étudiants de première année commune aux études de santé (PACES). Il est conçu pour aider à assimiler le cours et bien préparer les concours. Un cours complet. Toutes les notions du programme De nombreux exemples et des remarques pédagogiques. Des conseils pour éviter les pièges les plus fréquents. Pour chaque chapitre une synthèse des savoirs à connaître. Un entraînement aux concours. A la fin de chaque chapitre des QCM extraits d'annales de concours.Des corrigés détaillés et commentés pour travailler en parfaite autonomie."

Biometry --- Mathematics --- Statistics as Topic

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"Psychological statistics and psychometrics using Stata by Scott Baldwin is a complete and concise resource for students and researchers in the behavioral sciences. Professor Baldwin includes dozens of worked examples using real data to illustrate the theory and concepts. This book would be an excellent textbook for a graduate-level course in psychometrics. It is also an ideal reference for psychometricians who are new to Stata. Baldwin's primary goal in this book is to help readers become competent users of statistics. To that end, he first introduces basic statistical methods such as regression, t tests, and ANOVA. He focuses on explaining the models, how they can be used with different types of variables, and how to interpret the results. After building this foundation, Baldwin covers more advanced statistical techniques, including power-and-sample size calculations, multilevel modeling, and structural equation modeling. This book also discusses measurement concepts that are crucial in psychometrics. For instance, Baldwin explores how reliability and validity can be understood and evaluated using exploratory and confirmatory factor analysis. Baldwin includes dozens of worked examples using real data to illustrate the theory and concepts. In addition to teaching statistical topics, this book helps readers become proficient Stata users. Baldwin teaches Stata basics ranging from navigating the interface to using features for data management, descriptive statistics, and graphics. He emphasizes the need for reproducibility in data analysis; therefore, he is careful to explain how version control and do-files can be used to ensure that results are reproducible. As each statistical concept is introduced, the corresponding commands for fitting and interpreting models are demonstrated. Beyond this, readers learn how to run simulations in Stata to help them better understand the models they are fitting and other statistical concepts. This book is an excellent textbook for graduate-level courses in psychometrics. It is also an ideal reference for psychometricians and other social scientists who are new to Stata"--Publisher's website

Psychometrics --- Psychometrics --- Psychometrics --- Statistics as Topic

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"Cet ouvrage d'analyse statistique avancée avec R est un recueil d'aides, de conseils, de méthodes pour pouvoir explorer, analyser et modéliser la masse de données qui ne fait que croître quotidiennement. À partir de jeux de données de différents domaines, il montre comment bien appliquer les différentes notions de statistiques et les représenter graphiquement. Les plus : Mise en pratique immédiate des notions avec le logiciel, De nombreuses figures, Des rubriques méthodologiques, Des exercices d'application. Le public : Étudiants en Licence 3 et Master, Élèves des écoles d'ingénieurs." [Quatrième de couverture]

R (Computer program language) --- Statistics --- Statistique --- R (logiciel) --- Data processing. --- Informatique --- Statistics as Topic --- Statistics as Topic.

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This practical book is designed for applied researchers who want to use mixed models with their data. It discusses the basic principles of mixed model analysis, including two-level and three-level structures, and covers continuous outcome variables, dichotomous outcome variables, and categorical and survival outcome variables. Emphasizing interpretation of results, the book develops the most important applications of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and mixed model predictions. All examples are analyzed with STATA, and an extensive overview and comparison of alternative software packages is provided. All datasets used in the book are available for download, so readers can re-analyze the examples to gain a strong understanding of the methods. Although most examples are taken from epidemiological and clinical studies, this book is also highly recommended for researchers working in other fields. (Provided by publisher)

Medical statistics --- Analysis of variance --- Mathematical statistics --- Statistics as Topic --- Analysis of Variance --- Biomedical Research --- Models, Statistical --- methods --- methods

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Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why do old men have big ears? Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science

Statistics. --- Statistics as Topic. --- Statistics --- Statistics as Topic --- Area Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Statistical --- Study, Statistical --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Mathematical linguistics --- Social aspects.