RESEARCH OPPORTUNITIES
Generalizability Network Research Study
Columbia University is looking for collaborators to run their Generalizability, Applicability, and Replicability of RCTs Study. To learn more about the study, check out Amelia Averitt’s presentation from the July 10th community call: https://drive.google.com/file/d/1acWhR5FCsTMWL7hxmYCgVlUt6r1bBFm1/view?usp=sharing
The study protocol is posted here: OHDSI/StudyProtocolSandbox/Generalizability
To participate in the study, please contact let Amelia Averitt know by replying to her forum post:
http://forums.ohdsi.org/t/generalizability-applicability-and-replicability-of-rcts-a-study/4669?u=maurabeaton
OHDSI MEETINGS THIS WEEK
OHDSI Community Call – Tuesday at 12pm ET
https://meetings.webex.com/collabs/#/meetings/detail?uuid=M59X2V1U61WC9ASID2Z5N3UT95-D1JL&rnd=811649.986822111212121
US TOLL: +1-415-655-0001
Meeting Number: 199 982 907
Population-Level Estimation (Eastern hemisphere) Workgroup Call – Wednesday at 3pm Hong Kong time
https://meetings.webex.com/collabs/meetings/join?uuid=M6WE9AOKFETH2VEFPVCZWWBIT0-D1JL
Architecture Working Group – Thursday at 10am ET
Webex: https://jjconferencing.webex.com/mw3100/mywebex/default.do?service=1&siteurl=jjconferencing&nomenu=true&main_url=%2Fmc3100%2Fe.do%3Fsiteurl%3Djjconferencing%26AT%3DMI%26EventID%3D610982452%26UID%3D501476547%26Host%3DQUhTSwAAAAQu4P1o9qm71JJ1Zj4-uvZbjQttsCinu71JCRxBAHAXnzjjRAiTspTzU9ojLmjMF4CcTBWw4zn1dqYPTWu5vJ9_0%26FrameSet%3D2%26MTID%3Dm3e1ceeca56f1e94c9fcf1ae98c10e02e
GIS Working Group Meeting – Next Monday (August 13th) at 10am ET
https://tufts.webex.com/mw3200/mywebex/default.do?service=1&siteurl=tufts&nomenu=true&main_url=%2Fmc3200%2Fe.do%3Fsiteurl%3Dtufts%26AT%3DMI%26EventID%3D562301137%26UID%3D528546812%26Host%3DQUhTSwAAAAT_EHuT3Ok-zHVhY1-kVGh78TH62dPsFk0x99qz1E9039sh_Eiepw8CoZeIF2SfnopQ8oAZaLN9PkzIZovRf2kV0%26FrameSet%3D2%26MTID%3Dm243d8e9a9c6c2d42d5182aeb5d30efdb
Meeting Number: 735 317 239
Password: gaia
ANNOUNCEMENTS
2018 Collaborator Showcase – DEADLINE TO SUBMIT ABSTRACTS TOMORROW AT 5PM
Time is running out to submit abstracts for the 2018 collaborator showcase. Collaborators are encouraged to submit abstracts for present posters, software demonstration or oral presentations during the collaborator showcase which will take place during the main symposium on Friday, October 12th. More details are available here: https://www.ohdsi.org/collaborator-showcase/
2018 OHDSI Symposium – REGISTER NOW
Registration is open for the 2018 OHDSI Symposium which will take place Friday, October 12th. You can register here: https://www.ohdsi.org/symposium-registration-2/
2018 OHDSI Symposium – TUTORIAL REGISTRATION OPEN
Registration is now open for tutorial sessions at this year’s OHDSI symposium. Intro tutorials will take place on Thursday, October 11th. Advanced tutorials will take place Saturday, October 13th. More information about tutorials is available here:
https://www.ohdsi.org/tutorial-workshops/
https://www.ohdsi.org/tutorial-registration-2/
Intro tutorials are being offered free of cost, however registration does not guarantee a seat in the tutorial. When you register, you will be placed on the tutorial wait-list. The final participant list will be determined by the tutorial faculty.
Advanced tutorials also offer the free wait-list registration. In addition, we are also offering a limited number of paid tickets ($318.17) which will guarantee your seat in the tutorial.
Call for Community Feedback
We’re developing official guidelines on how to start an OHDSI working group and OHDSI chapter and are eager for some community feedback. Guidelines can be found here:
Guidelines for starting an OHDSI chapter: http://forums.ohdsi.org/t/guidelines-for-starting-an-ohdsi-chapter-feedback-wanted/4760
Guidelines for starting an OHDSI working group: http://forums.ohdsi.org/t/guidelines-for-starting-an-ohdsi-working-group-feedback-wanted/4783
Nothing has really happened until it has been recorded.
– Virginia Woolf
COMMUNITY PUBLICATIONS
De-identification of free-text descriptions of suspected adverse drug reactions using
deep learning
https://www.ijcai-boom.org/uploads/5/1/6/8/51680821/eva-lisa_meldau.pdf
Empirical confidence interval calibration for population-level effect estimation studies in observational healthcare data.
https://www.ncbi.nlm.nih.gov/pubmed/29531023
