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Cette nouvelle édition, entièrement révisée, du manuel, répond aux demandes des utilisateurs qui souhaitent y retrouver le reflet des derniers développements en matière de méthodologie de la recherche et des enseignements tirés de l'expérience des cours de formation. Il s'agit d'un manuel pratique dédié à la formation, qui traite des concepts de base et des principes de la recherche scientifique, depuis le choix des objectifs et du plan d'étude, la réalisation des études et des essais, jusqu'à l'analyse des données et la présentation des résultats. Adapté aussi bien aux cours de formation collectifs qu'à l'auto-apprentissage, ce manuel est destiné aux jeunes scientifiques travaillant dans le domaine de la santé qui s'initient à la recherche et ont besoin de comprendre les étapes essentielles d'un plan de recherche : comment traduire une idée de recherche en une proposition de recherche faisable ; quelles sont les démarches à accomplir ensuite pour mettre en oeuvre l'étude proposée. Ce manuel fait constamment appel aux données réelles de projets de recherche consacrés aux problèmes rencontrés en sciences de la santé pour illustrer les principes et les méthodes. Le manuel se décline en onze modules de formation qui partent d'une explication des principes de base de la méthodologie scientifique pour passer à l'évaluation critique des plans d'études épidémiologique, expérimentale et clinique et aux chapitres traitant du biais et de la confusion, de la mesure de la fiabilité, des tests de signification et de l'établissement d'une association et de la causalité.

W 20.5 Medical research (General) --- Research methods --- Research Design --- Education Research --- Health Services

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Evidence from randomized controlled clinical trials is widely accepted as the only sound basis for assessing the efficacy of new medical treatments. Statistical methods play a key role in all stages of these trials, including their justification, design, and analysis. This second edition of Introduction to Randomized Controlled Clinical Trials provides a concise presentation of the principles applied in this area. It details the concepts behind randomization and methods for designing and analyzing trials and also includes information on meta-analysis and specialized designs, such as cross-over trials, cluster-randomized designs, and equivalence studies.This latest edition features new and revised references, examples, exercises, and a new chapter dedicated to binary outcomes and survival analysis. It also presents numerous examples taken from the medical literature, contains exercises at the end of each chapter, and offers solutions in an appendix. The author uses Minitab and R software throughout the text for implementing the methods that are presented.Comprehensive and accessible, Introduction to Randomized Controlled Clinical Trials is well-suited for those familiar with elementary statistical ideas and methods who want to further their knowledge of the subject.

W 20.5 Medical research (General) --- Research Design --- Statistics --- Randomized Controlled Trials

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This publication focuses on the impact of health economic evaluation studies on decision-making in nine European countries (Austria, Finland, France, Germany, Great Britain, Norway, Portugal, Spain and the Netherlands). EUROMET 2004: The Influence of Economic Evaluation Studies on Health Care Decision-Making reports on the results of a project called 'European Network on methodology and Application of Economic Evaluation Techniques' (EUROMET). On the one hand, the study showed an increasing number of economic evaluation studies, but on the other hand the availability of data and lack of expertise were seen as special barriers which limited the use of economic evaluation studies in the decision-making process. Economic evaluation studies had, before 2000, no major influence on healthcare decision-making in most European countries. In addition, the knowledge of healthcare decision-makers and of professionals in payer's organizations – such as health insurers, sickness funds and regional budget fund holders – was low or nearly not existing. Especially structural barriers are emphasised in this study. The respondents believe that increasing flexibility of healthcare budgets from one sector to another would encourage the transferability of economic study results. EUROMET focuses on the question of how sensitive decision makers are to economic evaluation study results in 2004 - with special emphasis on pharmaceuticals - and to what extent they admit to base their decisions on these results.

W 20.5 Medical research (General) --- Europe --- Statistics --- Evaluation Studies as Topic --- Decision Making --- Delivery of Health Care --- Economics --- Interdisciplinary Communication

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A considerable number of journal publications using a range of qualitative synthesis approaches has been published. Mary Dixon-Woods and colleagues (Mary Dixon-Woods, Booth, & Sutton, 2007) identified 42 qualitative evidence synthesis papers published in health care literature between 1990 and 2004. An ongoing update by Hannes and Macaitis (2010)identified around 100 additional qualitative or mixed methods syntheses. Yet these generally lack a clear, detailed description of what was done and why (Greenhalgh et al, 2007; McInnes & Wimpenny, 2008) . Choices are most commonly influenced by what others have successfully used in the past or by a particular school of thought (Atkins et al, 2008; Britten et al, 2002). This is a substantive limitation.This book brings balance to the options available to researchers, including approaches that have not had a substantial uptake among researchers. It provides arguments for when and why researchers or other parties of interest should opt for a certain approach to synthesis, which challenges they might face in adopting it and what the potential strengths and weaknesses are compared with other approaches.This book acts as a resource for readers who would otherwise have to piece together the methodology from a range of journal articles. In addition, it should stimulate further development and documentation of synthesis methodology in a field that is characterized by diversity.

Qualitative Research --- Methods --- Research --- Medicine --- Biomedical Research --- W 20.5 Medical research (General) --- #SBIB:303H30 --- Kwalitatieve methoden: algemeen --- Biology --- Qualitative research --- Qualitative analysis (Research) --- Qualitative methods (Research) --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Biomass --- Life (Biology) --- Natural history --- Research&delete& --- Methodology --- Health Workforce --- Meta-Analysis as Topic. --- Qualitative Research. --- Qualitative research. --- Methodology. --- Methods. --- kvalitative forskningsmetoder --- evidensbaseret medicin --- systematiske oversigtsartikler --- systematic reviews --- mixed method --- kvantitativ forskning

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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