Access to several Critical Appraisal tools in different languages. Click here to consult the resource Resource quality according to evaluation criteria, range 0-32: 26
Centre for Evidence-Based Medicine: Critical Appraisal tools CONTINUE READING »
This article provides a breakdown of the components of qualitative research methodology. Its intention is to simplify the terminology and process of qualitative research to enable novice readers of research to better understand the concepts involved. Click here to consult the resource Resource quality according
A nurses’ guide to Qualitative Research CONTINUE READING »
The aim of this article is to provide a robust and simple process for assessing the credibility of articles and their value to your clinical practice. Click here to consult the resource Resource quality according to evaluation criteria, range 0-32: 29
Critical Appraisal of Clinical Research CONTINUE READING »
Critical appraisal of published literature. Click here to consult the resource Resource quality according to evaluation criteria, range 0-32: 25
Critical appraisal of published literature CONTINUE READING »
This set of eight critical appraisal tools are designed to be used when reading research, these include tools for Systematic Reviews, Randomised Controlled Trials, Cohort Studies, Case Control Studies, Economic Evaluations, Diagnostic Studies, Qualitative studies and Clinical Prediction Rule. Click here to consult the resource
CASP Appraisal Checklists CONTINUE READING »
A systematic review was undertaken of 121 published critical appraisal tools sourcedfrom 108 papers located on electronic databases and the Internet. The tools were classifiedaccording to the study design for which they were intended. Click here to consult the resource Resource quality according to evaluation
A systematic review of the content of critical appraisal tools CONTINUE READING »
This article considers why 5% may be set as a reasonable cut-off for statistical significance, explains the correct interpretation of P < 0.05 and other values of P, examines arguments for and against the concept of statistical significance, and suggests other and better ways for
In the first of a series of four articles the authors explain the statistical concepts of hypothesis testing and p values. In many clinical trials investigators test a null hypothesis that there is no difference between a new treatment and a placebo or between two
Basic statistics for clinicians: 1. Hypothesis testing. CONTINUE READING »
