Announcing an event for Editors of health and medical journals
- Host: AHMEN (Australasian Health and Medical journal Editors’ Network) and ANDS (Australian National Data Service)
- When: Monday 19 June 2017, 10-4.30 pm
- Where: Woolcock institute, 431 Glebe Point Road, Sydney
Program
- Reporting guidelines for health data in journal articles (Paul Glasziou, EQUATOR Network)
- COPE session: cases of fabrication and falsification of data in journal articles, managing retractions (Ginny Barbour)
- Common statistical errors in in medical papers (Petra Graham, Macquarie University)
- Panel discussion: Starving the trolls – practical approaches for journal editors
- ANDS–AHMEN: roundtable discussion on data publishing – data management and sharing, sensitive data, data policies, funders
Morning and afternoon tea and lunch will be provided.
Registration
This event is free but numbers are strictly limited.
If you would like to attend, please email ahmen@medicalwriters.org to secure your spot.
I would encourage you to join or renew your AMWA membership, although for this event membership is not mandatory.
About AHMEN
AHMEN is a subgroup of AMWA set up to promote excellence in the scholarly publication of journals in the Australasian region.
It provides a community where members can keep up to date with the latest trends and innovations, network with peers and participate in continuing professional development. The subgroup welcomes current (and past) journal Editors and others that work at, or with, health and medical journals, such as journal publishers, editorial managers.
You must be a member of AMWA to join this group.
Upcoming Webinar - Statistics for Medical Writers
AMWA is pleased to bring you the first webinar of 2026. Presented by Dr Richard Kay, this webinar will give you a clear, logical structure
for thinking about statistical methodology in pharmaceutical R&D. You'll be introduced to methods used in different settings, which are
driven by the endpoint type, with a particular focus on binary (odds ratios, relative risks) and time to event (Kaplan-Meier curves, hazard
ratios) endpoints. Ideas behind p-values, confidence intervals, and powering a study to detect important levels of effect will be covered.
Each concept will be illustrated with case studies.
Read more
Read more
