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[des-kes] Free Internet Course Do-It-Yourself: Essential Epidemiological Data Analysis Rosalia Sciortino Mon, 23 Jan 2012 23:46:10 -0800 Untuk yang berminat silahkan kontak Prof. Dr. Virasakti at Virasakdi Chongsuvivatwong [
[email protected]], Lia ________________________________________ From: Virasakdi Chongsuvivatwong [
[email protected]] Sent: Monday, January 23, 2012 9:00 PM To: Rosalia Sciortino Cc: Lancet SE Asia Overview Paper; Sina, Barbara (NIH/FIC) [E]; Beasley, R Palmer; Suwat Chariyalertsak; viroj;
[email protected]; Angkana Chaiprasert; , . .; Chusak Praskttisuk;
[email protected]; ARDC Nisa Chamsuwan; Wit Wichaidith; Torkel Snellingen; Alan.g; Edward.m; Hutcha.s; Rassamee; SawitriPsy; Tippawan Liabsuetrakul; ; Sopon Iamsirithaworn; Chuleeporn; ; MettaKuni; Chetta Ngamjarus; Bandit Thinkhamrop, PhD.; Pyatat Tatsanavivat Subject: Please help announcing the free Internet Course to people who may benefit from it Dear All, Please could you help making announcement to relevant parties about our IDRC supported free Internet course "Do-It-Yourself: Essential Epidemiological Data Analysis". I will start on 6th February 2012 at . This course is suitable for researchers who want to learn Epidemiology, Medical Statistics and Data Analysis at the same time. The course is based on the open-source software R and the downloadable free book "Analysis of Epidemiological Data Using R and Epicalc". The datasets and handout notes are freely downloadable from the class. Participants can select their own free time to lean the lesson and complete their homework. Active discussion is encouraged and all timely submitted assignment will be marked and discussed by the tutors. The course takes a continuation of 9 weeks. Each week will require a total of about 15-20 hours for the participants to work. Certain public health background is useful but not absolutely necessary. Neither any particular prerequisite nor endorsement is needed. Determination and self-discipline are however very necessary. Virasakdi Chongsuvivatwong Professor of Epidemiology Faculty of Medicine Prince of Songkla University Hatyai, 90110, Thailand
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