Statistical Modelling and Regression Analysis Tutorials |Statistics for Beginners | SPPH 500
12 videos • 22,784 views • by MarinStatsLectures-R Programming & Statistics This series of statistics tutorials is an introduction to regression modelling to broaden analytic skills for data scientist. This course covers statistical techniques commonly used in epidemiology and health services research, such as linear, logistic and Poisson regression as well as survival analysis (Cox regression). Content Creators: Mary Clare Kennedy (M.A.), Research Associate at UBC Follow MarinStatsLectures Subscribe: https://goo.gl/4vDQzT website: https://statslectures.com Facebook: https://goo.gl/qYQavS Twitter: https://goo.gl/393AQG Instagram: https://goo.gl/fdPiDn Our Team: Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC. Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH) This statistics tutorials are prepared to support SPPH 500: Analytic Methods in Applied Epidemiology course offered in the School of Population and Public Health at the University of British Columbia (UBC). These videos are created as part of #marinstatslectures video tutorial series to support some courses at UBC (#IntroductoryStatistics and #RVideoTutorials for Health Science Research), although we make all videos available to the everyone everywhere for free. Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!