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Cet ouvrage présente les principales méthodes de statistique médicale utilisées dans la pratique quotidienne et dans la littérature théorique. Par une approche claire et synthétique, il aborde de manière détaillée les concepts et les techniques de base tels qu'intervalle de confiance, test d'hypothèse, p-valeur, test t, test x2, corrélation et régression. Il introduit également les tests non paramétriques, la survie, l'analyse de variance à un facteur et des techniques plus poussées telles que la régression linéaire multiple, logistique et non linéaire.L'auteur insiste tout particulièrement sur l'interprétation des résultats, les conditions et situations d'application des méthodes et il met l'accent sur les aspects pratiques. Les sections plus techniques ou avancées sont signalées et peuvent être sautées sans conséquence pour la compréhension de l'ensemble. Des exemples médicaux illustrent la théorie et des exercices résolus en détails figurent en fin de chaque chapitre.
Statistics as Topic --- Biometry --- methods --- WA 950 Theory or methods of medical statistics --- Medicine --- Research --- Statistical methods --- Methods --- Statistics as Topic - methods --- Statistics
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Statistics in Practice A new series of practical books outlining the use of statistical techniques in a wide range of application areas:* Human and Biological Sciences* Earth and Environmental Sciences* Industry, Commerce and FinanceStatistical Issues in Drug Development Stephen Senn Professor of Pharmaceutical & Health Statistics, University College, London Statistical Issues in Drug Development provides an accessible text for those working directly in drug development, regulatory and marketing departments within the pharmaceutical industry. As a consequence of regulatory authorities demanding increasingly higher standards, statistics has become a critical element in the design and conduct of drug development programmes. The concepts covered in this volume guide the non-statistician through the most pressing statistical issues and controversies in drug development. Key issues covered include:* Design & interpretation of clinical trials* Bayesian & frequentist methods* Sequential & cross-over trials* Drug monitoring & pharmaco-economicsThe book has been prepared in two sections. The first section considers the role of statistics in drug development from four different perspectives: historical, philosophical, technical and professional. The second section covers a series of controversial topics such as fixed versus random effects for meta-analysis, one-sided versus two-sided tests and the ethics of placebo run-ins. The approachable and wide-ranging coverage of this book will make it invaluable to all those working in drug development and regulation.
Mathematical statistics --- QV 771 Standardization and evaluation of drugs --- Clinical Trials --- Drug development --- Statistical methods --- Drug Industry --- Clinical Trials as Topic --- Statistics as Topic --- Drug Design --- methods --- Statistics --- Drug development - Statistical methods --- Statistics as Topic - methods
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Mathematical statistics --- WB 102 Clinical medicine --- Statistics --- Evidence-Based Medicine --- Models, Statistical --- Decision Support Techniques --- Decision Support Techniques. --- Statistics as Topic. --- Models, Statistical. --- economics. --- Economics.
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Cet ouvrage aborde les outils principaux de la statistique descriptive pour résoudre des questions très concrètes telles que :
* Comment construire ou interpréter de manière critique des tableaux de données ou des graphiques ?
* Comment travailler avec des proportions (ratios, pourcentages, etc.), avec des mesures d'évolution (nombres-indices), de tendance centrale (moyenne, mode, ..) et de dispersion (variance, espace interquartile, ...) ?
* Comment donner du sens aux chiffres ? Sadressant en priorité à des praticiens occasionnellement ou régulièrement amenés dans leur vie quotidienne à produire ou interpréter des données statistiques, sans avoir aucune expertise particulière préalable dans le domaine, l'ouvrage a été résolument conçu dans une perspective d'auto-apprentissage . Écrit dans un langage clair et accessible, il abonde en exemples concrets et exercices corrigés, principalement dans le champ économique, politique, social ou éducatif.Il intéressera les professionnels dans les domaines des sciences sociales, de l'éducation et de la santé mais aussi les professeurs et les étudiants des 1er et 2e cycles en sciences humaines.
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Mathématiques appliquées --- Statistieken --- Statistiques --- Toegepaste wiskunde --- Statistics --- Handbooks, manuals, etc --- Guides, manuels, etc --- Statistics as Topic --- Probability --- AA / International- internationaal --- 300 --- Algemene statistische naslagwerken. --- Handbooks, manuals, etc. --- Algemene statistische naslagwerken --- Probabilités. --- Probabilities --- WA 900 Public health statistics (including narrative reports on health conditions and health surveys) --- statistics and numerical data [Subheading] --- Methods --- Statistique mathematique --- Manuels --- Probabilités
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Clinical Trials as Topic --- Statistics as Topic --- Biometry --- Drug Evaluation --- Epidemiologic Research Design. --- Biostatistics --- Evidence-Based Medicine. --- methods. --- statistics and numerical data. --- Epidemiologic Research Design --- Evidence-Based Medicine --- methods --- Biostatistics. --- Clinical Trials --- Controlled Clinical Trials --- Pragmatic Clinical Trials --- W20.55.C5 - Clinical trials --- statistics & numerical data.
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Essential Medical Statistics is a classic amongst medical statisticians. An introductory textbook, it presents statistics with a clarity and logic that will demystify the subject, while providing a comprehensive coverage of advanced as well as basic methods. Book overviewThe second edition of Essential Medical Statistics has been comprehensively revised and updated to include modern statistical methods and modern approaches to statistical analysis, while retaining the approachable and non-mathematical style of the first edition. The book now includes full coverage of the most commonly used regression models, multiple linear regression, logistic regression, Poisson regression and Cox regression, as well as a chapter on general issues in regression modelling. In addition, new chapters introduce more advanced topics such as meta-analysis, likelihood, bootstrapping and robust standard errors, and analysis of clustered data. Aimed at students of medical statistics, medical researchers, public health practitioners and practising clinicians using statistics in their daily work, the book is designed as both a teaching and a reference text. The format of the book is clear with highlighted formulae and worked examples, so that all concepts are presented in a simple, practical and easy-to-understand way. The second edition enhances the emphasis on choice of appropriate methods with new chapters on strategies for analysis and measures of association and impact.
Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Human medicine --- Medical statistics --- Statistics --- Biometry --- Medicine --- Research --- Statistical methods --- Medical statistics. --- Statistics as Topic. --- Biometry. --- Statistical methods. --- Statistics. --- 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 --- Anthropology, Physical --- Statistics as Topic --- Health Workforce --- Health --- Health statistics --- Research&delete& --- Médecine --- Statistique médicale --- Recherche --- Méthodes statistiques --- BIOMETRY --- Medicine - Research - Statistical methods
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Biometry. --- Statistics as Topic. --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data 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, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- 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, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Anthropology, Physical --- Statistics as Topic --- Biometry --- Statistics --- Medical statistics --- Statistique médicale --- Health --- Health statistics --- Medicine --- Statistical methods --- WA 900 Public health statistics (including narrative reports on health conditions and health surveys) --- Handbooks
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Conçu pour les étudiants non spécialisés en mathématiques, cet ouvrage vise à fournir une compréhension conceptuelle maximale de l'ensemble des techniques statistiques communément utilisées en sciences sociales et dans les sciences du comportement.Il allie un ton engageant à la rigueur scientifique. Ses autres atouts sont la place importante accordée aux techniques descriptives, le recours fréquent à des exemples concrets permettant de souligner les liens entre les questions de recherche et les tests statistiques et la présence de nombreux exercices corrigés. Par ses qualités,Méthodes statistiques en sciences humaines s'impose comme une source de référence indispensable tant pendant qu'après le cursus universitaire.
Human sciences (algemeen) --- Mathematical statistics --- Statistical science --- Statistics as Topic --- Psychology --- Psychometrics --- Data Collection --- methods --- Statistical methods --- Social sciences --- Psychologie --- Sciences sociales --- Statistical methods. --- Méthodes statistiques --- Méthodes de travail Werkwijzen --- Sciences sociales Sociale wetenschappen --- Probabilités Probabiliteit --- Statistiques Statistiek --- Tests Tests --- Psychometrics - methods --- Data Collection - methods --- Psychology - Statistical methods --- HA 29 Theory and method of social science statistics - General works --- Statistics --- Handbooks --- SCIENCES HUMAINES --- SCIENCES SOCIALES --- STATISTICS --- METHODES STATISTIQUES
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Clinical chemistry --- Clinical Trials --- Mathematics --- Research Design --- Statistics --- methods --- Clinical Trials as Topic --- Mathematics. --- Research Design. --- Statistics as Topic. --- Clinical medicine --- -Clinical trials --- -Controlled clinical trials --- Patient trials of new treatments --- Randomized clinical trials --- Trials, Clinical --- Human experimentation in medicine --- Medicine, Clinical --- Medicine --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data 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, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- 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, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Data Adjustment --- Data Reporting --- Design, Experimental --- Designs, Experimental --- Error Sources --- Experimental Designs --- Matched Groups --- Methodology, Research --- Problem Formulation --- Research Methodology --- Research Proposal --- Research Technics --- Research Techniques --- Scoring Methods --- Experimental Design --- Adjustment, Data --- Adjustments, Data --- Data Adjustments --- Design, Research --- Designs, Research --- Error Source --- Formulation, Problem --- Formulations, Problem --- Group, Matched --- Groups, Matched --- Matched Group --- Method, Scoring --- Methods, Scoring --- Problem Formulations --- Proposal, Research --- Proposals, Research --- Reporting, Data --- Research Designs --- Research Proposals --- Research Technic --- Research Technique --- Scoring Method --- Source, Error --- Sources, Error --- Technic, Research --- Technics, Research --- Technique, Research --- Techniques, Research --- Research --- Clinical Trials Data Monitoring Committees --- Mathematic --- methods. --- Problems, exercises, etc --- Statistical methods --- -methods. --- -Area Analysis --- Research Strategy --- Research Strategies --- Strategies, Research --- Strategy, Research --- Controlled clinical trials --- Statistics as Topic --- -methods --- -Data Adjustment --- Clinical trials --- W 20.5 Medical research (General) --- Biometry
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