Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Pharmacology. Therapy --- Pharmacy. --- Farmacie --- Periodicals --- Health Sciences --- Pharmacy and Pharmacology --- Farmacologie. Therapie --- Pharmacy

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Histologie --- Hormonen --- Sciences and engineering --- biological sciences --- biology --- molecular --- cell --- health sciences --- obstetrics and gynecology --- molecular. --- cell. --- obstetrics and gynecology. --- Biological sciences --- Biology --- Cell. --- Molecular. --- Health sciences --- Obstetrics and gynecology.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Cet ouvrage expose les fondements théoriques des méthodes classiques de la statistique (estimation et tests) ainsi que des approches introduites plus récemment. Les premiers chapitres sont consacrés aux notions de la théorie des probabilités, nécessaires à la statistique. Puis sont développés les tests et méthodes d'estimation dans les situations paramétriques et non paramétriques. Les modèles de base de la régression sont traités en fin d'ouvrage. Chaque chapitre est accompagné d'exemples concrets, mais aussi d'exercices - plus de 150 au total - dont les corrigés ont été intégrés dans cette deuxième édition. La présentation témoigne d'un réel souci pédagogique de l'auteur qui bénéficie d'une vaste expérience d'enseignement auprès de publics très variés. Les résultats exposés sont, autant que possible, replacés dans la perspective de leur utilité pratique. Le niveau mathématique requis rend ce livre accessible aux étudiants de premier cycle universitaire et aux chercheurs dans les divers domaines des sciences appliquées. Il sera donc utile aux étudiants devant aborder les aspects théoriques de la statistique ou aux utilisateurs, pour les assurer du choix judicieux des méthodes qu'ils emploient.

Statistics. --- Statistical Theory and Methods. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Mathematical statistics. --- Statistique --- Statistique mathématique --- Statistics as Topic

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

vroedkunde --- Gynaecology. Obstetrics --- Midwives --- Obstetrics --- Midwifery --- Sages-femmes --- Obstétrique --- Periodicals. --- Périodiques --- Midwifery. --- tijdschriften --- Tijdschriften GEZ --- vroedkunde (gez) --- vroedvrouwen (gez) --- Bevalling --- Engeland --- Neonatologie --- Verloskunde --- Vroedvrouwen --- Zwangerschap --- Midwife --- Traditional Birth Attendant --- Birth Attendant, Traditional --- Birth Attendants, Traditional --- Traditional Birth Attendants --- Periodicals --- Health Sciences --- Medical Education, Training & Research --- Nursing --- Obstetrics and Gynecology --- Pediatrics --- Reproduction & Reproductive Medicine

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This text provides the first-ever compilation of bias analysis methods for use with epidemiologic data. It guides the reader through the planning stages of bias analysis, including the design of validation studies and the collection of validity data from other sources. Three chapters present methods for corrections to address selection bias, uncontrolled confounding, and classification errors. Subsequent chapters extend these methods to multidimensional bias analysis, probabilistic bias analysis, and multiple bias analysis. The text concludes with a chapter on presentation and interpretation of bias analysis results. Although techniques for bias analysis have been available for decades, these methods are considered difficult to implement. This text not only gathers the methods into one cohesive and organized presentation, it also explains the methods in a consistent fashion and provides customizable spreadsheets to implement the solutions. By downloading the spreadsheets (available at links provided in the text), readers can follow the examples in the text and then modify the spreadsheet to complete their own bias analyses. Readers without experience using quantitative bias analysis will be able to design, implement, and understand bias analyses that address the major threats to the validity of epidemiologic research. More experienced analysts will value the compilation of bias analysis methods and links to software tools that facilitate their projects. Timothy L. Lash is an Associate Professor of Epidemiology and Matthew P. Fox is an Assistant Professor in the Center for International Health and Development, both at the Boston University School of Public Health. Aliza K. Fink is a Project Manager at Macro International in Bethesda, Maryland. Together they have organized and presented many day-long workshops on the methods of quantitative bias analysis. In addition, they have collaborated on many papers that developed methods of quantitative bias analysis or used the methods in the data analysis.

Medicine & Public Health. --- Public Health/Gesundheitswesen. --- Epidemiology. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Methodology of the Social Sciences. --- Infectious Diseases. --- Simulation and Modeling. --- Medicine. --- Emerging infectious diseases. --- Computer simulation. --- Statistics. --- Social sciences --- Médecine --- Maladies infectieuses émergentes --- Epidémiologie --- Simulation par ordinateur --- Statistique --- Sciences sociales --- Methodology. --- Méthodologie --- Epidemiology --- Bias (Epidemiology) --- Epidemiologic Methods --- Research --- Methodology --- Epidemiology - Research - Methodology