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Statistics With Confidence

Author: Douglas Altman
Publisher: John Wiley & Sons
ISBN: 1118702506
Size: 64.57 MB
Format: PDF, ePub, Docs
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This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice.

Research In Health Care

Author: Julius Sim
Publisher: Nelson Thornes
ISBN: 9780748737185
Size: 69.28 MB
Format: PDF, Kindle
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This comprehensive book emphasises the importance of evidence-based practice. It covers the essential stages in research, from posing the right questions, designing your study, through to the methods for collecting, presenting and analysing data. The use of both qualitative and quantitative date are examined in detail to help the researcher to chose the most appropriate techniques.

Confidence Intervals

Author: Michael Smithson
Publisher: SAGE
ISBN: 9780761924999
Size: 21.50 MB
Format: PDF, ePub, Docs
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Using lots of easy to understand examples from different disciplines, the author introduces the basis of the confidence interval framework and provides the criteria for `best′ confidence intervals, along with the trade-offs between confidence and precision. The book covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.

Concise Epidemiologic Principles And Concepts

Author: Laurens Holmes, Jr.; Franklin Opara
Publisher: AuthorHouse
ISBN: 1491810025
Size: 58.57 MB
Format: PDF, Mobi
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This textbook describes the basics of research in medical, clinical, and biomedical settings as well as the concepts and application of epidemiologic designs in research conduct. Design transcends statistical techniques, and no matter how sophisticated a statistical modeling, errors of design/sampling cannot be corrected. The authors of this textbook have presented a complex field in a very simplified and reader-friendly manner with the intent that such presentation will facilitate the understanding of design process and epidemiologic thinking in clinical and biomedical research. Covers these relevant topics in epidemiology: Case-Cohort Design Prospective Case-Control Quantitative Evidence Synthesis (QES) Instant Cohort Design & Case-Crossover Design Effect Modification & Interaction Epidemiologic Tree - Molecular Epidemiology & Health Disparities Epidemiologic Challenge – “Big Data”, mHealth, Social Media 3 “Ts” - Team Science, Transdisciplinary Research, Translational Research Bias, Random error, Confounding Systems Science & Evidence Discovery Research is presented as an exercise around measurement, with measurement error inevitable in its conduct—hence the inherent uncertainties of all findings in clinical and biomedical research. Concise Epidemiologic Principles and Concepts covers research conceptualization, namely research objectives, questions, hypothesis, design, implementation, data collection, analysis, results, and interpretation. While the primary focus of epidemiology is to assess the relationship between exposure (risk or predisposing factor) and outcome (disease or health-related event), causal association is presented in a simplified manner, including the role of quantitative evidence synthesis (meta-analysis) in causal inference. Epidemiology has evolved over the past three decades resulting in several fields being developed. This text presents in brief the perspectives and future of epidemiology in the era of the molecular basis of medicine. With molecular epidemiology, we are better equipped with tools to identify molecular biologic indicators of risk as well as biologic alterations in the early stages of disease.

Handbook Of Psychology Research Methods In Psychology

Author: Irving B. Weiner
Publisher: John Wiley & Sons
ISBN: 1118282035
Size: 32.16 MB
Format: PDF, ePub
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Psychology is of interest to academics from many fields, as well as to the thousands of academic and clinical psychologists and general public who can't help but be interested in learning more about why humans think and behave as they do. This award-winning twelve-volume reference covers every aspect of the ever-fascinating discipline of psychology and represents the most current knowledge in the field. This ten-year revision now covers discoveries based in neuroscience, clinical psychology's new interest in evidence-based practice and mindfulness, and new findings in social, developmental, and forensic psychology.

Vital Statistics E Book

Author: Stephen McKenzie
Publisher: Elsevier Health Sciences
ISBN: 0729581497
Size: 77.87 MB
Format: PDF, ePub, Mobi
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Vital Statistics: an introduction to health science statistics e-book is a new Australian publication. This textbook draws on real world, health-related and local examples, with a broad appeal to the Health Sciences student. It demonstrates how an understanding of statistics is useful in the real world, as well as in statistics exams. Vital Statistics: an introduction to health science statistics e-book is a relatively easy-to-read book that will painlessly introduce or re-introduce you to the statistical basics before guiding you through more demanding statistical challenges. Written in recognition of Health Sciences courses which require knowledge of statistical literacy, this book guides the reader to an understanding of why, as well as how and when to use statistics. It explores: How data relates to information, and how information relates to knowledge How to use statistics to distinguish information from disinformation The importance of probability, in statistics and in life That inferential statistics allow us to infer from samples to populations, and how useful such inferences can be How to appropriately apply and interpret statistical measures of difference and association How qualitative and quantitative methods differ, and when it’s appropriate to use each The special statistical needs of the health sciences, and some especially health science relevant statistics The vital importance of computers in the statistical analysis of data, and gives an overview of the most commonly used analyses Real-life local examples of health statistics are presented, e.g. A study conducted at the Department of Obstetrics and Gynecology, University of Utah School of Medicine, explored whether there might be a systematic bias affecting the results of genetic specimen tests, which could affect their generalizability. Reader-friendly writing style t-tests/ ANOVA family of inferential statistics all use variants of the same basic formula Learning Objectives at the start of each chapter and Quick Reference Summaries at the end of each chapter provide the reader with a scope of the content within each chapter.

How To Read A Paper

Author: Trisha Greenhalgh
Publisher: John Wiley & Sons
ISBN: 1118800966
Size: 35.33 MB
Format: PDF, Docs
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The best-selling introduction to evidence-based medicine In a clear and engaging style, How to Read a Paper demystifies evidence-based medicine and explains how to critically appraise published research and also put the findings into practice. An ideal introduction to evidence-based medicine, How to Read a Paper explains what to look for in different types of papers and how best to evaluate the literature and then implement the findings in an evidence-based, patient-centred way. Helpful checklist summaries of the key points in each chapter provide a useful framework for applying the principles of evidence-based medicine in everyday practice. This fifth edition has been fully updated with new examples and references to reflect recent developments and current practice. It also includes two new chapters on applying evidence-based medicine with patients and on the common criticisms of evidence-based medicine and responses. How to Read a Paper is a standard text for medical and nursing schools as well as a friendly guide for everyone wanting to teach or learn the basics of evidence-based medicine.

Practical Evidence Based Physiotherapy E Book

Author: Robert Herbert
Publisher: Elsevier Health Sciences
ISBN: 0702047139
Size: 11.78 MB
Format: PDF, ePub, Docs
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Evidence-based practice has become a central part of physiotherapy today, but it is still an area which is constantly expanding and being updated. Written by an international team of experts, this second edition continues to outline the basic definitions of evidence-based practice and clinical reasoning, while detailing how to find and critically appraise evidence and clinical practice guidelines and the steps to follow in the implementation and evaluation of evidence. For those struggling to understand both the concepts and how to implement them, this book will prove to be an invaluable and practical guide. Considers how both quantitative and qualitative research can be used to answer clinical questions Written for readers with different levels of expertise Highlighted critical points and text box summaries (basic) Detailed explanations in text (intermediate) Footnotes (advanced) Presents detailed strategies for searching physiotherapy-relevant databases Extensive consideration of clinical practice guidelines Chapter asking the question: When and how should new therapies be introduced into clinical practice? Search strategies Evaluating quality of interventions Placebo effects Meta-regression