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Interactive Learning

Cochrane Interactive Learning: Conducting an Intervention Review

What systematic reviews are, why they are useful, framing a review question, process for reviews.

Why protocols are a crucial step, components of a protocol, framing eligibility criteria.

Why systematic and rigorous searches are important, planning and designing search strategies, sources of studies, managing and reporting the process.

How to select studies for inclusion, systematically collecting different data types that meet criteria.

What bias is, how to assess the risk of bias in randomized trials in different sources.

How to analyse different types of data, effect measures, undertaking meta-analysis, recognizing heterogeneity.

How to interpret results of statistical analysis, reporting bias, using GRADE method to report on certainty of evidence.

The reporting process, creating ‘Summary of findings’ tables, writing up results, discussing evidence, drawing conclusions, summary formats.

Introducing health economics and considerations for this in a systematic review.

Introduction to  network meta-analysis (NMA) in the context of a systematic review of randomized trials.

Putting the equity lens on your systematic review.

Getting started with qualitative evidence synthesis, taking stock of evidence, synthesising and developing findings and writing up a report.

How to conduct a rapid review, including key differences from systematic reviews and practical approaches to streamline the process.

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Waleed A - 31 October 2021
Good
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Ameena M - 31 October 2021
useful















Phuong N - 30 October 2021
ahmed H - 29 October 2021
Helpful (0)
Venkataseshan S - 29 October 2021
Useful brief introduction of NMA
Marwan E - 29 October 2021
Helpful (1)
José Manuel R - 29 October 2021
It´s a great module to learn about Systematic reviews, In really satisfya
Anonymous - 27 October 2021
Helpful (0)
Jean-Francois B - 27 October 2021
The notion that one should subtract one indirect effect from another to get an estimate of the direct effect was not immediately intuitive to me. I had to work through self made numerical examples to grasp it.
Waldemar S - 27 October 2021
Piero Luis E - 27 October 2021
Anonymous - 27 October 2021
Anonymous - 26 October 2021
Helpful (0)
JAIME D - 26 October 2021
very good, thank you
Prioshini G - 26 October 2021
Olivia M - 26 October 2021
Anonymous - 26 October 2021
Claudio R - 26 October 2021
Helpful (1)
Mohamed A - 25 October 2021
The learning materials are good, but more explanation videos are needed. I think this will make the course more interesting and understandable. However, I really appreciate the effort done, thank you.
Ana O - 23 October 2021

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