Advanced methods

Advanced methods
Advanced methods
 
Making sense in systematic reviews of complex interventions *GESI webinar*​ [February 2018]
Dr Jeremy Grimshaw, Senior Scientist, Ottawa Hospital Research Institute, Professor, Department of Medicine University of Ottawa, Board Chair Campbell Collaboration, Cochrane editor and author.
Kristin Danko, PhD Candidate in Epidemiology, University of Ottawa, Canada
 
'Summary of findings' tables in network meta-analysis (NMA) [February 2018]
Juan José Yepes-Nuñez and Holger J Schünemann, Department of Health Research Methods, Evidence, and Impact (HEI), McMaster University, Canada

CINeMA – Confidence in Network meta-analysis​ [October 2017]
Georgia Salanti and Theodore Papakonstantinou, CINeMA development team
[click here for recording and accompanying materials]

Statistical methods for updating meta-analyses *Statistical Methods Group webinar* [October 2017]
Mark Simmonds, Research Fellow at the Centre for Reviews and Dissemination, University of York, UK
[click here for recording and accompanying materials]

A comparison of arm-based and contrast-based approaches to network meta-analysis [June 2017]
Ian White, University College London, UK
Dr Emily Karahalios, Monash University, Australia
[click here for recording and accompanying materials]

Adverse effects 2: Searching for adverse effects [May 2017]
Su Golder, Cochrane Adverse Effects Methods Group
[click here for recording and accompanying materials]

Adverse effects 1: How to overcome the challenge of reviewing adverse effects [April 2017]
Yoon Loke, Cochrane Adverse Effects Methods Group
[click here for recording and accompanying materials]

GRADE-CERQual: An introduction for qualitative evidence synthesis [February 2017]
Heather Munthe-Kaas, Simon Lewin and Claire Glenton; Coordinators of the GRADE-CERQual Project Group
[click here for recording and accompanying materials]

An argument-based approach to aggregation of evidence involving multiple outcome indicators [October 2016]
Anthony Hunter, Professor of Artificial Intelligence, University College London 
Matt Williams, Consultant Oncologist, Charing Cross Hospital / Imperial College London
[click here for recording and accompanying materials]

If you are interested in this topic, there are more online learning resources in our Cochrane methodology collection.