Howard Friedman
  • Male
  • New York
  • United States
Share on Facebook

Gifts Received


Howard Friedman has not received any gifts yet

Give a Gift


Howard Friedman's Page

Profile Information

Short Bio:
Statistician, health economist and writer at the United Nations Population Fund (UNFPA) and Columbia University. Developer of SAS Business Knowledge Series Courses, former Director of Data Modeling in Banking, consultant for health industry.
LinkedIn Profile:
Networking, New venture, Other

Howard Friedman's Blog

Critically Reading Scientific Papers

Posted on July 13, 2018 at 9:11am 0 Comments

Critically reading scientific papers is critical for Data Scientists working some areas - especially those working in health. With that in mind, here are some key considerations in reading scientific (peer-review, grey literature) papers:

Theory: Is the theory sound? Are there theoretical issues in the design that cause…


Private Equity and Data Science: Due Diligence Stage

Posted on June 27, 2018 at 9:30am 1 Comment

An emerging trend in the private equity space is an enhanced focus on data science.

This focus has historically been more on the operations side (post-acquisition) where data scientists have been leveraged to help companies improve performance in many key areas including marketing, business intelligence, financial analysis, and human resources. The advantage of focusing data scientists on the operations side is rather obvious: after an acquisition has occurred, the data challenges and…


Issues with Random Experiments: Attrition

Posted on June 26, 2018 at 6:00am 0 Comments

Continuing my thoughts on random experiments and what can go wrong:

Another common problem is Attrition, especially situations where the attrition rate is not randomly distributed (if the attrition rate is randomly distributed then you have lost power in your study).

After random…


Contamination of the Control Group

Posted on June 22, 2018 at 3:55am 0 Comments

Continuing my thoughts on random experiments and what can go wrong:

One common problem is Contamination of the Control Group

The only difference between the treatment and control groups should be the treatment.  That said, this isn't always true.  How the treatment is administered can affect the control group.  Think about health examples where, for example, deworming…


Comment Wall

You need to be a member of Data Science Central to add comments!

Join Data Science Central

  • No comments yet!

© 2021   TechTarget, Inc.   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service