Statistics from Altmetric.com
The skills to judge the validity of studies dealing with cause and effect relationships critically are a crucial requisite for career development in epidemiology, community medicine or public health.
This book proposes a scheme for the critical appraisal of epidemiological studies and trials. This approach starts by describing the methods and results. Then, it considers three possible non-causal explanations: “observation” bias, confounding and chance. This system forces the investigator or the reader to think about the quality of the data and design and to appraise critically whether a truly causal explanation can be accepted. The aim is to build a logical system of critical appraisal, to allow readers to evaluate studies and to carry out their own studies more effectively. …
If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.