McMaster Evidence-Based Clinical Practice Workshop Resources – Therapy module
This is the therapy module resources provided to the attendees at the McMaster Evidence-Based Clinical Practice Workshop.
| 0 Comments
McMaster Evidence-Based Clinical Practice Workshop Resources – Systematic review module
The Systematic review module resources provided to the attendees at the McMaster Evidence-Based Clinical Practice Workshop.
| 0 Comments
How well is the clinical importance of study results reported?
How well is the clinical importance of study results reported?
| 0 Comments
What is meant by intention to treat analysis? Survey of published randomised controlled trials
Results of a survey to document the meaning of ‘intention to treat’ analysis.
| 0 Comments
Blinding in clinical trials and other studies
Simon Day and Doug Altman discuss blinding in clinical trials.
| 0 Comments
Distinguishing between “no evidence of effect” and “evidence of no effect” in randomised controlled trials and other comparisons
Distinguishing between “no evidence of effect” and “evidence of no effect” in randomised controlled trials and other comparisons.
| 0 Comments
Tips for learners of evidence-based medicine: 1. relative risk reduction, absolute risk reductions and number needed to treat
Relative risk reduction, absolute risk reduction and number needed to treat.
| 0 Comments
Basic statistics for clinicians: 1. Hypothesis testing
The statistical concepts of hypothesis testing and p values.
| 0 Comments
Basic statistics for clinicians: 2. Interpreting study results: confidence intervals
Interpreting study results: confidence intervals.
| 0 Comments
Basic statistics for clinicians: 3. Assessing the effects of treatment: measures of association
Assessing the effects of treatment: measures of association.
| 0 Comments
Tips for teachers of evidence-based medicine: Relative risk reduction, absolute risk reduction and numbers needed to treat
Tips for teachers of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat.
| 0 Comments
The 2011 Oxford CEBM Levels of Evidence: Introductory Document
The 2011 Oxford Centre for Evidence-Based Medicine’s Levels of Evidence.
| 0 Comments
Tips and tricks in performing a systematic review
Why do, and what to do when starting a systematic review.
| 0 Comments
Meta-analysis: Its strengths and limitations
The strengths and limitations of meta-analysis.
| 0 Comments
Meta-analysis, collaborative overview, systematic review: what does it all mean?
Mike Clarke’s 9-minute read on meta-analysis, collaborative overview, systematic review.
| 0 Comments
The interpretation of clinical trials
Peter Greenberg’s 9-minute read on the interpretation of clinical trials.
| 0 Comments
Evidence Based Drug Therapy: What Do the Numbers Mean?
Strengths and limitations of different measures of the effects of treatments.
| 0 Comments
Harm
A University of Massachusetts Medical School text on adverse effects of treatments.
| 0 Comments
Therapy
A University of Massachusetts Medical School text discussing the strengths and limitations of different measures of the effects of treatment
| 0 Comments
What Evidence in Evidence-Based Medicine?
Philosopher John Worral’s reflections on the evidence used in Evidence-Based Medicine.
| 0 Comments
Evidence for the frontline: A report for the Alliance for Useful Evidence
Jonathan Sharples’ introduction to evaluation in education, policing and other public services.
| 0 Comments
Learning from research: systematic reviews for informing policy decisions
The EPPI Centre’s guide to using systematic reviews to inform policy decisions.
| 0 Comments
Patients as Consumers: Physician’s conflicts of interest
James Rickert talks with Helen Osborne about looking at healthcare from the perspectives of both a patient and provider.
| 0 Comments
Critical Appraisal of Research Evidence 101
Ontario Public Health Libraries Association guide to critical appraisal of research evidence.
| 0 Comments
Policy: twenty tips for interpreting scientific claims
This list will help non-scientists to interrogate advisers and to grasp the limitations of evidence.
| 0 Comments
What makes a good systematic review?
What makes a good systematic review from Oxford University’s Centre for Evidence-Based Intervention?
| 0 Comments
Understanding Health Research: A tool for making sense of health studies
An interactive online tool designed to help anybody to understand scientific health research evidence.
| 0 Comments
The Slippery Slope: Is a Surrogate Endpoint Evidence of Efficacy?
A discussion of the dangers of relying on surrogate outcome measures.
| 0 Comments
Assessing Risk of Bias in Included Studies
An introduction to assessing risk of bias using the Cochrane ‘Risk of Bias Tool’.
| 0 Comments
Systematic Review X Narrative Review
Describing the distinct characteristics and goals of systematic and narrative reviews of the literature.
| 0 Comments
Reading the Medical literature
American College of Obstetricians and Gynaecologists (ACOG) introduction to critical appraisal and evidence-based medicine.
| 0 Comments
University of Western Australia: Bias Minimisation, were the right patients included?
University of Western Australia’s explanation of the importance of involving the right people in treatment comparisons.
| 0 Comments
University of Western Australia: Bias Minimisation, randomisation and blinding
University of Western Australia’s explanation of why random allocation to comparison groups and blinding (if possible) are important.
| 0 Comments
Sun Downstate; The Double Blind Method
Suny Downstate’s explanation of why blinding is important in assessing the effects of treatments.
| 0 Comments
Suny Downstate; Randomized Controlled Studies
Suny Downstate’s explanation of why random allocation to treatment comparison groups is important.
| 0 Comments
Suny Downstate; Systematic Reviews and Meta-analysis
Suny Downstate’s explanation of why it is important to consider all studies addressing a specific question.
| 0 Comments
What is a meta-analysis? How to use a systematic review
Oxford University’s Centre for Evidence-Based Intervention guide on how to use evidence from systematic reviews.
| 0 Comments
What is a meta-analysis?
An explanation of meta-analysis from Oxford University’s Centre for Evidence-Based Intervention.
| 0 Comments
Is the therapy clinically useful?
An article from the PEDro database on whether a treatment is useful.
| 0 Comments
Is the trial valid?
An article from the PEDro database on assessing the validity of a study.
| 0 Comments
Evidence-Based medicine in Pharmacy Practice
An article by Suzanne Albrecht on Evidence-Based Medicine in Pharmacy Practice.
| 0 Comments
Goals and tools in Meta-analysis
Meta-analysis in Michigan State University’s Evidence-Based Medicine Course.
| 0 Comments
Goals and tools in Prognosis evaluation
How to assess prognosis in Michigan State University’s Evidence-Based Medicine Course.
| 0 Comments
Evaluating relevance
How to evaluate relevance of research in Michigan State University’s Evidence-Based Medicine Course.
| 0 Comments
Limitations of current clinical practice
Discussion of the need to recognise the limitations of current clinical practice in Michigan State Univ’s Evidence-Based Medicine Course.
| 0 Comments
Apply the results to your patients
A Duke Univ. tutorial explaining how to address the question: how relevant is the research evidence to the needs of my patient?
| 0 Comments
What are the results?
A Duke Univ. tutorial explaining how to address the questions: How large was the treatment effect? What was the absolute risk reduction?
| 0 Comments
Evaluating the validity of a therapy study
A web-based Duke University tutorial explaining how to address the question: are the results of the study valid?
| 0 Comments
Delfini: Critical appraisal training video, measures of outcomes
A 15-min training video for understanding some statistics used for reporting research results.
| 0 Comments
Delfini: Critical appraisal matters
A 20-minute slide cast discussing how reliable evidence and critical appraisal can help to improve health outcomes.
| 0 Comments
Evidence-Based and Shared-Informed Decision-Making According to Homer (Simpson)
With help from Homer Simpson, James McCormack uses a 17-minute slide cast to explain the principles of thoughtful treatment.
| 0 Comments
Teaching Tips: randomisation for trials
Chris Del Mar describes a group exercise that enables students to appreciate how trials work, and how they can go wrong.
| 0 Comments
Teaching Tip: Understanding Regression to the mean in preparation for teaching EBM
Chris Del Mar uses dice to simulate the natural fluctuations in pain, and to illustrate regression-to-the mean by re-testing the outliers.
| 0 Comments
Sunn Skepsis
Denne portalen er ment å gi deg som pasient råd om kvalitetskriterier for helseinformasjon og tilgang til forskningsbasert informasjon.
| 0 Comments
Dancing statistics: correlation
A 4-minute film demonstrating the statistical concept of correlation through dance.
| 0 Comments
How can you know if the spoon works?
Short, small group exercise on how to design a fair comparison using the "claim" that a spoon helps retain the bubbles in champagne.
| 0 Comments
DRUG TOO
James McCormick with another parody/spoof of the Cee Lo Green song ‘Forget You’ to prompt scepticism about many drug treatments.
| 0 Comments
Calling Bullshit Syllabus
Carl Bergstrom's and Jevin West's nice syllabus for 'Calling Bullshit'.
| 0 Comments
‘Tricks to help you get the result you want from your study (S4BE)
Inspired by a chapter in Ben Goldacre’s ‘Bad Science’, medical student Sam Marks shows you how to fiddle research results.
| 0 Comments
It’s just a phase
A resource explaining the differences between different trial phases.
| 0 Comments
Strictly Cochrane: a quickstep around research and systematic reviews
An interactive resource explaining how systematic and non-systematic reviews differ, and the importance of keeping reviews up to date.
| 0 Comments
The Princess and the p-value
An interactive resource introducing reporting and interpretation of statistics in controlled trials.
| 0 Comments
Explaining the mission of the AllTrials Campaign (TED talk)
Half the clinical trials of medicines we use haven’t been published. Síle Lane shows how the AllTrials Campaign is addressing this scandal.
| 0 Comments
Fast Stats to explain absolute risk, relative risk and Number Needed to Treat (NNT).
A 15-slide presentation on ‘Fast Stats’ to explain absolute risk, relative risk and Number Needed to Treat (NNT) prepared by PharmedOut.
| 0 Comments
Unsubstantiated and overstated claims of efficacy
A 32-slide presentation on misleading advertisements and FDA warnings prepared by PharmedOut.
| 0 Comments
Critical appraisal
University of New South Wales Medical Statistics Tutorial 4 addresses Critical Appraisal.
| 0 Comments
Probability and tests of statistical significance
University of New South Wales Medical Statistics Tutorial 6 addresses ‘Probability and tests of statistical significance’.
| 0 Comments
Bias – the biggest enemy
University of New South Wales Medical Stats Online Tutorial 5 addresses ‘Bias - the biggest enemy’.
| 0 Comments
Introduction to Evidence-Based Medicine
Bill Caley’s 26 slides with notes used as an ‘Introduction to Evidence-Based Medicine’.
| 0 Comments
Applying evidence to patients
A 27-minute talk on ‘Applying Evidence to Patients’, illustrated by 17 slides, with notes.
| 0 Comments
2×2 tables and relative risk
A 10-min talk on ‘2x2 tables and Relative Risk’, illustrated by 14 slides, with notes.
| 0 Comments
Appraisal of evidence and interpretation of results
A 14-min talk on ‘Appraisal of the Evidence and Interpretation of the Results’, illustrated by 19 slides, with notes.
| 0 Comments
Basic principles of randomised trials, and validity
A 8-min talk on ‘Basic principles of Randomised Trials, and Validity’, illustrated by 15 slides, with notes.
| 0 Comments
Defining clinical questions
An 8-min talk on ‘Defining Clinical Questions’ illustrated by 10 slides, with notes.
| 0 Comments
A way to teach about systematic reviews
81 slides used by David Nunan (Centre for Evidence-Based Medicine, Oxford) to present ‘A way to teach about systematic reviews’.
| 0 Comments
Appraising the evidence
Six key slides produced by the University of Western Australia to introduce critical appraisal.
| 0 Comments
Taking account of the play of chance
Differences in outcome events in treatment comparisons may reflect only the play of chance. Increased numbers of events reduces this problem
| 0 Comments
Quantifying uncertainty in treatment comparisons
Small studies in which few outcome events occur are usually not informative and the results are sometimes seriously misleading.
| 0 Comments
Bringing it all together for the benefit of patients and the public
Improving reports of research and up-to-date systematic reviews of reliable studies are essential foundations of effective health care.
| 0 Comments
Applying the results of trials and systematic reviews to individual patients
Paul Glasziou uses 28 slides to address ‘Applying the results of trials and systematic reviews to individual patients’.
| 0 Comments
10 Components of effective clinical epidemiology: How to get started
PDF & Podcast of 1-hr talk by Carl Heneghan (Centre for Evidence-Based Medicine, Oxford) on effective clinical epidemiology.
| 0 Comments
Critical appraisal of clinical trials
Slides developed by Amanda Burls for an interactive presentation covering the most important features of well controlled trials.
| 0 Comments
Explaining the unbiased creation of treatment comparison groups and blinded outcome assessment
A class were given coloured sweets and asked to design an experiment to find out whether red sweets helped children to think more quickly.
| 0 Comments
Systematic Reviews and Meta-analysis: Information Overload
None of us can keep up with the sheer volume of material published in medical journals each week.
| 0 Comments
Combining the Results from Clinical Trials
Chris Cates notes that emphasizing the results of patients in particular sub-groups in a trial can be misleading.
| 0 Comments
GenerationR – The importance of involving children and young people in research
3/3, 22-min video at the launch of GenerationR, a network of young people who advise researchers.
| 0 Comments
Generation R – The importance of medical research in children and young people
2/3, 35-min video at the launch of GenerationR, a network of young people who advise researchers.
| 0 Comments
No Power, No Evidence!
This blog explains that studies need sufficient statistical power to detect a difference between groups being compared.
| 0 Comments
Beginners guide to interpreting odds ratios, confidence intervals and p values
A tutorial on interpreting odds ratios, confidence intervals and p-values, with questions to test the reader’s knowledge of each concept.
| 0 Comments
Sample Size matters even more than you think
This blog explains why adequate sample sizes are important, and discusses research showing that sample size may affect effect size.
| 0 Comments
What is it with Odds and Risk?
This blog explains odds ratios and relative risks, and provides the formulae for calculating both measures.
| 0 Comments
Preclinical animal studies: bad experiments cost lives
This blog notes that few therapies that treat disease in animals successfully translate into effective treatments for humans.
| 0 Comments
Surrogate Endpoints in EBM: What are the benefits and dangers?
What are surrogate outcomes, their pros and cons, and why you should be cautious in extrapolating from them to clinical decisions.
| 0 Comments
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.
| 0 Comments
The Mean: Simply Average?
This blog explains ‘the mean’ as a measure of average; describes how to calculate it; and flags up some caveats.
| 0 Comments
Publication Bias: An Editorial Problem?
A blog challenging the idea that publication bias mainly occurs at editorial level, after research has been submitted for publication.
| 0 Comments
The Bias of Language
Publication of research findings in a particular language may be prompted by the nature and direction of the results.
| 0 Comments
Defining Bias
This blog explains what is meant by ‘bias’ in research, focusing particularly on attrition bias and detection bias.
| 0 Comments
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.
| 0 Comments
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.
| 0 Comments
Defining Risk
This blog defines ‘risk’ in relation to health, and discusses some the difficulties in applying estimates of risk to a given individual.
| 0 Comments
Traditional Reviews vs. Systematic Reviews
This blog outlines 11 differences between systematic and traditional reviews, and why systematic reviews are preferable.
| 0 Comments
P Value in Plain English
Using simple terms and examples, this blog explains what p-values mean in the context of testing hypotheses in research.
| 0 Comments
Cancer Screening Debate
This blog discusses problems that can be associated with cancer screening, including over-diagnosis and thus (unnecessary) over-treatment.
| 0 Comments
Surrogate endpoints: pitfalls of easier questions
A blog explaining what surrogate endpoints are and why they should be interpreted cautiously.
| 0 Comments
Misconceptions about screening
Screening should not be for everyone or all diseases. It should only be offered when it is likely to do good than harm.
| 0 Comments
Randomized Control Trials
1/2, 40-min lecture on randomized trials by Dr R Ramakrishnan (Lecture 25) for the Central Coordinated Bioethics Programme in India.
| 0 Comments
Compliance with protocol and follow-up in clinical trials
Denis Black’s 10-min, downloadable, PowerPoint presentation on compliance, follow up, and intention-to-treat analysis in clinical trials.
| 0 Comments
Clinical Significance – CASP
To understand results of a trial it is important to understand the question it was asking.
| 0 Comments
Statistical Significance – CASP
In a well-conducted randomized trial, the groups being compared should differ from each other only by chance and by the treatment received.
| 0 Comments
P Values – CASP
Statistical significance is usually assessed by appeal to a p-value, a probability, which can take any value between 0 and 1 (certain).
| 0 Comments
Making sense of results – CASP
This module introduces the key concepts required to make sense of statistical information presented in research papers.
| 0 Comments
Screening – CASP
This module on screening has been designed to help people evaluate screening programmes.
| 0 Comments
Randomised Control Trials – CASP
This module looks at the critical appraisal of randomised trials.
| 0 Comments
Tamiflu: securing access to medical research data
A campaign by researchers has shown that Roche spun the research on Tamiflu to meet their commercial ends.
| 0 Comments
Los intervalos de confianza en investigación
¿Para qué sirven los intervalos de confianza en los estudios de investigación?
| 0 Comments
Watson en busca de la evidencia
Cómic acerca de conflictos de intereses y búsqueda de información.
| 0 Comments