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Confidence Intervals – CASP

The p-value gives no direct indication of how large or important the estimated effect size is. So, confidence intervals are often preferred.

| 0 Comments | Evaluated

Know Your Chances

This book has been shown in two randomized trials to improve people's understanding of risk in the context of health care choices.

| 0 Comments | Evaluated

The Systematic Review

This blog explains what a systematic review is, the steps involved in carrying one out, and how the review should be structured.

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The Bias of Language

Publication of research findings in a particular language may be prompted by the nature and direction of the results.

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Defining Bias

This blog explains what is meant by ‘bias’ in research, focusing particularly on attrition bias and detection bias.

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Balancing Benefits and harms

A blog explaining what is meant by ‘benefits’ and ‘harms’ in the context of healthcare interventions, and the importance of balancing them.

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Data Analysis Methods

A discussion of 2 approaches to data analysis in trials - ‘As Treated’, and ‘Intention-to-Treat’ - and some of the pros and cons of each.

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Defining Risk

This blog defines ‘risk’ in relation to health, and discusses some the difficulties in applying estimates of risk to a given individual.

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Cancer Screening Debate

This blog discusses problems that can be associated with cancer screening, including over-diagnosis and thus (unnecessary) over-treatment.

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CEBM – Study Designs

A short article explaining the relative strengths and weaknesses of different types of study design for assessing treatment effects.

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DISCERN online

A questionnaire providing a valid and reliable way of assessing the quality of written information on treatment choices.

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Means vs. Medians

Keith Bower’s 3-min video explaining how means (averages) and medians can be presented misleadingly.

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Mega-trials

In this 5 min audio resource, Neeraj Bhala discusses systematic reviews and the impact of mega-trials.

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