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Data Science and Surgeries: A Tool is not Enough

by Dr. Andrew A. Kramer | Oct 4, 2016 | Healthcare Data, Methodology

Suppose you’re about to undergo a complicated surgical procedure to remove an embolism in your carotid artery. The chief surgeon tells you that he has a new high-powered laser that is great at dissolving clots. Sounds great, right? But when you ask if the operation is...

Medical statistics: they don’t always add up

by Dr. Andrew A. Kramer | Aug 16, 2016 | Methodology

Everyone who wants to delve into predictive modeling in medicine starts out studying linear regression. After learning the basics we’re told that that this type of model is unrealistic, as associations between biologic characteristics and health outcomes are almost...

What a 16th century cartographer can teach us about data science

by Dr. Andrew A. Kramer | Jul 26, 2016 | Blog, Methodology

Gerardus Mercator (1512 – 1594) was a 16th century polymath who created the world’s first atlas, produced a novel way of plotting latitude and longitude that is still being used today (Mercator’s Projection), and wrote the first book on the italics...

Five reasons to choose SAS as a data science environment

by Dr. Andrew A. Kramer | Jul 19, 2016 | Blog, Methodology

First things first. I have never been employed by SAS and have no commercial relationship with the company. The opinions below are purely my own. Take a look at any of the polls querying which tools data scientists report using. Highest on the list would probably be...

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