eBook Critical Appraisal of Epidemiological Studies Clinical Trials ePub

This book presents a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively.

This book presents a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively. Its great strength is that it is applicable to a wide range of issues. by Mark Elwood (Author). ISBN-13: 978-0198529552.

Statistical issues are explained clearly without complex mathematics, and the most useful methods are summarized in the appendix, each with a worked example. Each main chapter includes self-test questions, with answers provided, making the book ideally suited to readers with no prior epidemiological or statistical knowledge.

This book is a revised and substantially expanded successor to Causal Relationships in Medicine: A Practical System for Critical Appraisal, published by Oxford in 1988

This book is a revised and substantially expanded successor to Causal Relationships in Medicine: A Practical System for Critical Appraisal, published by Oxford in 1988. The appraisal system proposed here is applicable to studies i This book is a revised and substantially expanded successor to Causal Relationships in Medicine: A Practical System for Critical Appraisal, published by Oxford in 1988.

This book presents a logical system of critical appraisal, and facilitates studies to. .

This book presents a logical system of critical appraisal, and facilitates studies to be evaluated and carried out effectively. In these chapters, sections of the original papers are reproduced and the original studies placed in context by a summary of current developments.

This book presents a system of critical appraisal applicable to clinical, epidemiological and public health .

This book presents a system of critical appraisal applicable to clinical, epidemiological and public health studies and to many other fields. It assumes no prior knowledge. The system shows how to describe a study, how to detect and assess selection biases, observation bias, confounding, and chance variation, and how to assess internal validity and external validity (generalisability).