Workshop: Statistical reviewing for general medical journals
TARGET AUDIENCE:
This workshop is designed for researchers in epidemiology, statistics, and related fields who possess strong quantitative skills. Final-year doctoral students are also welcome!
LEARNING OBJECTIVES:
As part of the workshop participants will:
* Learn how to provide concise and constructive feedback useful to both editors and authors Gain first-hand insights into the editorial and review processes at The BMJ.
* Understand the expectations for peer reviewers at leading biomedical journals and practice giving useful feedback.
* Explore ethical guidelines for peer review (COPE), recognize common biases in the review process, and discuss open science topics relevant for reviewing.
* Take part in hands-on exercises and receive practical advice, including tips to improve your own scientific reporting.
WORKSHOP LEADERS:
Dr. Jess Rohmann is a researcher at the Institute of Public Health at the Charité – Berlin and the BIH QUEST Center for Responsible Research. Her work focuses on causal inference, neurological applications, and research assessment reform.
Dr. Toivo Glatz is a researcher at the Institute of Public Health at the Charité – Berlin. He is interested in public health applications, open science and rigorous methods and serves on the Methodology and Statistics editorial board at Neurology.
Dr. Tim Feeney is a medical doctor by training with experience in general surgery and a research editor at The BMJ. He is a member of the Causal Inference Research Lab at UNC- Chapel Hill and is currently pursuing a PhD in Epidemiology.
Date:
12 December 2024, 9:30 (Thursday, 9th week, Michaelmas 2024)
Venue:
St Hugh's College, St Margaret's Road OX2 6LE
Speaker: Various Speakers
Organising department:
Nuffield Department of Population Health
Organiser contact email address:
derrick.bennett@ndph.ox.ac.uk
Booking required?:
Required
Booking url:
https://tinyurl.com/peerspectivesoxford
Cost:
Free
Audience:
Members of the University only
Editor:
Derrick Bennett
