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Interactive Learning

Cochrane Interactive Learning: Conducting an Intervention Review

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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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Ruben R - 6 Juni 2025
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Melanie G - 5 Juni 2025
Helpful (0)
Wilhelm G - 3 Juni 2025
completed module 5, but didnt recieve a certificate and shows uncompleted when refreshing
Anonymous - 3 Juni 2025
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Thalita A - 3 Juni 2025
Very good, I am learning a lot. It is eliciting even more my curiosity on how to write a systematic review.
Muqaddas ghori M - 2 Juni 2025
shuhuang C - 2 Juni 2025
Abigail C - 2 Juni 2025
Helpful (1)
Samuel F - 1 Juni 2025
This is such an amazing guide for people who are novices to meta-analysis, and it's just the ideal course for meta-analysis. The resources option is an excellent guide. I love this course very much; I'll give it a strong 10/10!!!!
omar H - 31 Mai 2025
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Anonymous - 26 Mai 2025

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