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This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes new features introduced by readers' requests including a new chapter on propensity score, more detail on clustered data and Poisson regression and a new section on analysis of variance. As before it describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It prepares the reader to perform and interpret multivariable models. Numerous tables, graphs and tips help to simplify and explain the process of performing multivariable analysis.

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Probability without Equations: Concepts for Clinicians Description

Although few physicians, nurses, dentists, and other health professionals perform laboratory tests themselves, they all need to be able to interpret the results as well as understand findings reported in the medical literature. A general understanding of probability and statistics is essential for those needing to make daily decisions about the significance of research data, drug interaction precautions, or a patient's positive laboratory test for a rare disease.

Written with these needs in mind, Probability without Equations offers a thorough explanation of the subject without overwhelming the reader with equations and footnotes. Award-winning teacher Bart Holland presents a nontechnical treatment of intuitive concepts and presents numerous examples from medical research and practice. In plain language, this book explains the topics that clinicians need to understand:

• Analysis of variance

• "P-values" and the "t-test"

• Hazard models

• Regression and correlations

• Alpha and beta errors

"The Nobel prize-winning physicist Ernest Rutherford was fond of saying that if you need statistics to analyze the results of an experiment, you don't have a very good experiment. In a way he was right. However, a recurrent problem in medicine is that in a certain sense you commonly don't have a good experiment—but not because medical research scientists are generally incompetent! The nature of the data they work with is simply not as predictable as the data in some other fields, so the predictive nature of findings in medical science is generally rather imperfect."—from the introduction

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Every day clinicians encounter ethical dilemmas that have a direct impact on patient care. This timely Fourth Edition gives you expert guidance in approaching a wide range of ethical dilemmas and developing an action plan even when competing points of view have equal merit. Most chapters include real-life sample cases that the author walks through, discussing the salient issues and how to approach them.

Highlights of this edition include:

• A new chapter on ethical issues in cross-cultural medicine
• New material addressing conscientious objection by physicians, with particular reference to reproductive health and caring for underserved populations
• Revised sections on disclosure of errors to patients, gifts to physicians from drug companies, involuntary psychiatric treatment, genomic medicine, and ethical issues during public health emergencies such as pandemics
• Updates on organ transplantation including increasing the donor pool and non-heart beating donors
• Updated references throughout
• A summary of key points at the end of each chapter

A companion Website includes instant fully searchable text. This useful resource is a must-read for medical students and practicing professionals at every level of experience.

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Best Study Design and Statistical Analysis: A Practical Guide for Clinicians

Study Design and Statistical Analysis: A Practical Guide for Clinicians by Cambridge University Press




This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using univariate, bivariate and multivariable analysis, and publishing the results. It does so by using plain language rather than complex derivations and mathematical formulas. It focuses on the nuts and bolts of performing research by asking and answering the most basic questions about doing research studies. Making good use of numerous tables, graphs and tips, this book helps to demystify the process. A generous number of up-to-date examples from the clinical literature give an illustrated and practical account of how to use multivariable analysis.Read more Study Design and Statistical Analysis: A Practical Guide for Clinicians

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Multivariable Analysis: A Practical Guide for Clinicians and Public Health Researchers Description

Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research.