Tutorials and Fundamentals
What is data dredging?
What is data dredging, how does it affect the p-value and what is its impact on the world around us?
A network for students interested in evidence-based health care
What is data dredging, how does it affect the p-value and what is its impact on the world around us?
This blog, written by Leonard Goh, was the winner of Cochrane Malaysia and Penang Medical College’s recent evidence-based medicine blog writing competition. Leonard has written an insightful and informative piece to answer the question: ‘Evidence-based health practice: a fairytale or reality’.
‘Evidence-based practice’ is a commonly used phrase. But this blog asks the question: ‘just how much can we trust published scientific literature?’ with particular reference to the problems of publication bias and statistical approaches.
This blog discusses the issue of statistical significance (whether a difference, such as an improvement in symptoms, is unlikely to have occurred by chance) vs. clinical significance (whether a difference, such as an improvement in symptoms, is meaningful and patient to patients).
This post talks about the real meaning of p-value. No fancy words. No complicated definitions. Only simple notions included.
Terms such as significant, hypothesis testing, and p-value are usually found in research papers, here is a review explaining them.
Sean reviews the Statistics Learning Centre’s Videos – a Youtube channel featuring a series of free tutorials which aim to help you learn the concepts of statistics from identifying types of data to performing t-tests in Excel.
The nuts and bolts 20 minute tutorial from Tim.
Revealing the truth behind rates, ratios and risk with QMP statistics tutorials. This is one of a series that helps with understanding of statistics and study design.
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