An Introduction to Causal Inference is a 5-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore … Continue reading “Short Course on Causal Inference: June 3-7”
For more information and to RSVP, please visit the workshop website.
An Introduction to Causal Inference: This 5-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore the causal inference … Continue reading “Summer Short Course on Causal Inference”
Ever wanted to learn to use Python? The lab of JP Onnela recently published 90 videos for the HarvardX course on Using Python for Research. Launched in January 2018, Version 2 … Continue reading “Biostats Learning Resources Online”
Use of Electronic Health Records for Clinical Research: Issues of Study Design and Analysis March 1 | 8:30am-5:30pm 8:30AM-9:00am: Breakfast and Check-in 9:00AM-5:30PM: Symposium Armenise Amphitheater/ Harvard Medical School This symposium … Continue reading “Harvard Catalyst: Upcoming Event”
In the school’s latest podcast, Professor Miguel Hernán explains how vast amounts of information can be used to assess what works in medicine and public health. View transcript and listen to … Continue reading “Miguel Hernán on Big Data & Public Health”
Inaugural Kolokotrones Symposium on Data Science Hot Topics in Cancer Epidemiology Do Statins Increase the Survival of Cancer Patients? Presentations and panel discussion hosted by Lorelei Mucci & Miguel Hernán Friday, … Continue reading “Inaugural Kolokotrones Symposium – 2/2”