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School yourself in weeding out fake statistics - free online webinar (pre-recorded, take anytime) from Stanford U.

Posted By: AndiV
Date: Thursday, 9-Apr-2020 16:36:14
www.rumormill.news/144161

Statistical errors are all too common in medical literature, and contribute to the reproducibility crisis currently plaguing science. Fortunately, you donít need a degree in statistics to catch these errors. While some errors are impossible to spot without access to the underlying dataset, many are detectable just by reviewing the information available in the paper. In many cases nothing more than common sense and simple arithmetic is required. In addition, there is an ever-increasing number of free, easy-to-use online statistical tools that facilitate error detection.

In this session, Dr. Sainani will demonstrate how to apply these statistical sleuthing tools using real examples from medical literature. She will also review principles of effective statistics that can help prevent statistical errors from occurring in the first place.

You will learn:

Simple ways to detect statistical errors in medical literature

How to avoid errors by using principles of effective statistics

How to use free, online statistics tools that donít require a programming background


http://learn.stanford.edu/WBN-MED-STATS-On-Demand-2020-02-05_LP-OD-Registration-2020-02-11.html




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