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Statistical and Methodological Aspects of Oral Health Research provides oral health researchers with an overview of the methodological aspects that are important in planning, conducting and analyzing their research projects whilst also providing biostatisticians with an idea of the statistical problems that arise when tackling oral health research questions. This collection presents critical reflections on oral health research and offers advice on practical aspects of setting up research whilst introducing the reader to basic as well as advanced statistical methodology. Featur

Dental public health --- Dentistry --- Dental Research --- Health Services Research --- Oral Health --- Research Design --- Statistics as Topic --- Research --- Statistical methods --- methods --- Data Adjustment --- Data Reporting --- Design, Experimental --- Designs, Experimental --- Error Sources --- Experimental Designs --- Matched Groups --- Methodology, Research --- Problem Formulation --- Research Methodology --- Research Proposal --- Research Strategy --- 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 Strategies --- Research Technic --- Research Technique --- Scoring Method --- Source, Error --- Sources, Error --- Strategies, Research --- Strategy, Research --- Technic, Research --- Technics, Research --- Technique, Research --- Techniques, Research --- Clinical Trials Data Monitoring Committees --- Health, Oral --- Mouth Diseases --- Research, Dental --- 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 --- Dental public health - Research - Statistical methods --- Dentistry - Research - Statistical methods --- Health Services Research - methods

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The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials. Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques. Contains introductory explanations of Bayesian principles common to all areas of application. Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics. Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs. Highlights the differences between the Bayesian and classical approaches. Supported by an accompanying website hosting free software and case study guides. Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.

Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Bayesian statistical decision theory --- Biometry --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Methodology --- Statistical methods --- Bayesian statistical decision theory. --- Bayes Theorem. --- Statistique bayésienne. --- Biométrie. --- Methodology. --- methods. --- methods --- Statistique bayésienne. --- Biométrie.

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It is imperative that health professionals caring for patients with rheumatic diseases understand how to correctly interpret evidence in their field, taking into account the merits and shortcomings of available data. Understanding Evidence-Based Rheumatology offers a practical assessment of criteria, drugs, trials, and registries and provides useful tools for successfully interpreting this data. The book introduces readers to basic analysis of trial design, statistics, and application of data through no-nonsense, easy-to-follow insights. Using numerous examples, chapters outline the difficulties physicians encounter when measuring disease activity in rheumatology, and offer strategies for systematically approaching these situations. Ethical issues in study design and reporting are examined, and the book closes with a summary of future directions for scientific and clinical studies in rheumatology. Understanding Evidence-Based Rheumatology is an invaluable resource for trainees, experienced clinicians, and scientists, preparing them with the necessary tools to correctly gather evidence and shed light on the difficult practice of rheumatology.  .

Rheumatology. --- Rheumatism. --- Joints --- Diseases. --- Rheumatic diseases --- Collagen diseases --- Musculoskeletal system --- Arthropathy --- Rheumatology --- Internal medicine --- Connective tissues --- Diseases --- Internal medicine. --- Medicine. --- Internal Medicine. --- Medicine/Public Health, general. --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Medicine, Internal --- Medicine --- Health Workforce

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It is imperative that health professionals caring for patients with rheumatic diseases understand how to correctly interpret evidence in their field, taking into account the merits and shortcomings of available data. Understanding Evidence-Based Rheumatology offers a practical assessment of criteria, drugs, trials, and registries and provides useful tools for successfully interpreting this data. The book introduces readers to basic analysis of trial design, statistics, and application of data through no-nonsense, easy-to-follow insights. Using numerous examples, chapters outline the difficulties physicians encounter when measuring disease activity in rheumatology, and offer strategies for systematically approaching these situations. Ethical issues in study design and reporting are examined, and the book closes with a summary of future directions for scientific and clinical studies in rheumatology. Understanding Evidence-Based Rheumatology is an invaluable resource for trainees, experienced clinicians, and scientists, preparing them with the necessary tools to correctly gather evidence and shed light on the difficult practice of rheumatology.  .

Hygiene. Public health. Protection --- Pathology of the organs of movement --- Human medicine --- geneeskunde --- gezondheidszorg --- reumatologie --- evidence-based methodiek