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"This book is written with three main aims; to provide a thorough introduction to the general MI methods, to provide a detailed discussion of the practical use of the MI method and to present real-world examples drawn from the field of biostatistics"

toegepaste wiskunde --- Mathematical statistics --- Data Interpretation, Statistical --- Biomedical Research --- methods --- Biomathematics. Biometry. Biostatistics --- Biomedical Research - methods

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Miles and Huberman's seminal text has helped thousands of graduate students and researchers find meaning from their qualitative data. New to this edition is the integration of qualitative analysis software, coverage of new approaches of inquiry, inclusion of mixed methods, and examples from a wider range of social science disciplines.

Social sciences --- Education --- Research --- Research Design --- Biomedical Research --- methods --- Data Collection. --- Social Sciences. --- Research Design. --- Data Interpretation, Statistical. --- Research. --- Biomedical Research - methods --- Data Collection --- Data Interpretation, Statistical

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"The aims of this book: I have been teaching research methods to medical, nursing and social sciences students, and in postgraduate medicine, for over forty years. In that time, I have realised that the prospect of learning about doing research, or doing "science", terrifies a lot of people. Many have a "mental block" at the thought of it. "Research is what scientists do and I'm not a scientist!" So, this is where I give my first, and possibly, most important piece of advice: "Don't Panic!" Can you think of the source? These words were written by Douglas Adams in 1979... That's right! They are from his book, The Hitch Hiker's Guide to the Galaxy, and on the back of the Guide are found these immortal words. Remember them. You don't need to panic when you are learning about Research. You can do it"--

Biomedical Research --- Research Design --- Students, Medical --- methods --- Biomedical Research - methods --- Recherche biomédicale --- Plan de recherche. --- Étudiants en médecine. --- méthodes. --- Research Design. --- Students, Medical. --- methods. --- Recherche biomédicale --- Étudiants en médecine. --- méthodes.

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"This book will fill this void by contributing a comprehensive resource to locate empirically-informed approaches to research design, methods, and analysis relevant to gender, sex and health research. It is clear that generic methods are insufficient. Indeed, the lack of integration of sex and gender into research practices has led to poor science in some instances, where the impact of sex, gender and related considerations has been overlooked in design, method, and analysis. The purpose of this book is to provide the first resource dedicated to critically examining gender and sex study design, methods, and analysis in health research. The authors draw attention to the methodological complexities, and offer ways to thoughtfully address these by drawing on empirical examples across a range of topics and disciplines"-- Provided by publisher. "This is the first resource dedicated to critically examining gender and sex study design, methods, and analysis in health research. The authors draw attention to the methodological complexities, and offer ways to thoughtfully address these by drawing on empirical examples across a range of topics and disciplines"-- Provided by publisher.

Research --- Gender Identity --- Sex Characteristics --- Health --- Gender identity. --- Sex differences. --- Santé --- Identité sexuelle --- Différences entre sexes --- methods --- Methodology. --- Recherche --- Méthodologie --- Medicine --- Biomedical Research --- Research Design --- Research Design. --- Santé --- Identité sexuelle --- Différences entre sexes --- Méthodologie --- Gender Identity. --- Sex Characteristics. --- Medicine - Research --- Biomedical Research - methods

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Become a successful evidence-based practitioner How do you evaluate the evidence? Is the information accurate, relevant and meaningful for clinical decision making? Did the design fit the research questions and was the analysis and interpretation of data appropriate? Here are all the materials you need to take your first steps as evidence-based practitioners…how to use the design, data and analysis of research as the foundation for effective clinical decision making. You'll find support every step of the way as you progress from the foundations of clinical research and concepts of measurement through the processes of designing studies and analyzing data to writing their own research proposal.

Biomedical Research --- Evidence-Based Practice --- Clinical Decision-Making --- Statistics as Topic --- Research Design --- 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 --- Research --- Clinical Trials Data Monitoring Committees --- methods --- Medicine --- Evidence-based medicine --- Clinical medicine --- Research. --- Methodology. --- Decision making. --- wetenschappelijk onderzoek --- Biomedical Research - methods --- Evidence-Based Practice - methods --- Clinical Decision-Making - methods --- Statistics as Topic - methods --- methods. --- Research Design.