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Quatrième de couverture : "Les biostatistiques médicales constituent un champ scientifique précieux pour le praticien qui souhaite calculer la valeur normale d'une grandeur biologique, évaluer la fiabilité d'un examen ou estimer le risque de complication d'un état pathologique. Le logiciel de statistique R permet de compiler et d'analyser efficacement ces données médicales. Cet ouvrage permet un apprentissage progressif de R pour pouvoir réaliser ses propres analyses. Conçu à l'origine pour un enseignement pratique, il propose une approche cohérente et unifiée des techniques de biostatistique rencontrées dans les études de recherche clinique et en épidémiologie. Depuis l'importation de sources de données jusqu'aux étapes de modélisation statistique, la structuration d'une base de données et l'exploration numérique ou graphique des variables qui la composent jouent un rôle essentiel. Les principales commandes R permettant de manipuler des variables numériques ou catégorielles sont illustrées de façon à pouvoir obtenir rapidement un résultat correctement interprétable"
Biometry. --- Medical informatics. --- R (Computer program language) --- Biométrie --- Médecine --- R (Langage de programmation) --- Informatique --- Biometry --- Medical statistics --- Statistiques médicales --- Computer programs --- Logiciels --- Biométrie --- Statistiques médicales --- Medical Informatics --- Software --- Biostatistics --- Medical informatics --- R (logiciel) --- Biométrie. --- Analyse des données --- Biométrie. --- Informatique médicale. --- Logiciel. --- Informatique. --- Logiciels. --- Médecine --- Analyse des données
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Biometry. --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods
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Biomathematics. Biometry. Biostatistics --- Human medicine --- Medical statistics. --- Biometry. --- R (Computer program language) --- Biostatistics. --- Software. --- Numerical Analysis, Computer-Assisted. --- Biometry --- Medical statistics --- Biométrie --- Statistiques médicales --- R (Langage de programmation) --- Computer programs. --- Logiciels --- GNU-S (Computer program language) --- Domain-specific programming languages --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Health --- Health statistics --- Medicine --- Statistical methods
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This volume of the Biostatistics and Health Sciences Set focuses on statistics applied to clinical research. The use of SAS for data management and statistical modeling is illustrated using various examples.ïÅư Many aspects of data processing and statistical analysis of cross-sectional and experimental medical data are covered, including regression models commonly found in medical statistics. This practical book is primarily intended for health researchers with a basic knowledge of statistical methodology. Assuming basic concepts, the authors focus on the practice of biostatistical methods essential to clinical research, epidemiology and analysis of biomedical data (including comparison of two groups, analysis of categorical data, ANOVA, linear and logistic regression, and survival analysis).ïÅư The use of examples from clinical trials and epidemiological studies provide the basis for a series of practical exercises, which provide instruction and familiarize the reader with essential SAS commands.
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Biometry --- Biométrie --- Computer programs. --- Logiciels --- Stata.
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Statistical science --- Operational research. Game theory --- Mathematics --- Biomathematics. Biometry. Biostatistics --- medische statistiek --- toegepaste wiskunde --- stochastische analyse --- biostatistiek --- biometrie --- kansrekening --- statistisch onderzoek
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