Type I and Type II Errors for Dummies
In previous posts, I have describe in detail what constitutes Type I and Type II errors. This figure, however, conveys the concept much more succinctly. HT: Marginal Revolution.
A HWR fit for a King
With the NBA playoffs are upon us, the Healthcare Economist reached out to some NBA stars to see what they like to do in their spare time. LeBron James returned my call and after a lengthly discussion, I learned that he loves to read the Health Wonk Review (HWR). In fact, his favorite topics are: Affordable […]
Explaining Geographic Variation in Exchange Enrollment
Why did state-based health insurance exchanges (HIEs) enroll more people than those that were federally run? One reason of course is the problems with healthcare.gov. However, there may be other reasons as well. A RWJF report finds the following. This analysis reveals extreme differences in the amount of funding available to states to help consumers […]
- May 10, 2014 Alliterative Links
- May 08, 2014 A HWR fit for a King
- May 07, 2014 Is current hospice care inadequate?
- May 06, 2014 CBO vs. Urban: ACA and Unemployment
- May 05, 2014 Explaining Geographic Variation in Exchange Enrollment
- May 02, 2014 Friday Links
- May 01, 2014 The future of humanity
- Apr 30, 2014 Cavalcade of Risk #207
- Apr 30, 2014 Guidelines for indirect treatment comparisons
- Apr 29, 2014 Advanced Directives in Wisconsin
- Apr 28, 2014 Time-Varying Difference-in-Difference
- Apr 24, 2014 HWR is up
- Apr 24, 2014 CrowdMed
- Apr 23, 2014 Mid-week Links
- Apr 22, 2014 I’d rather have HIV than diabetes
- Apr 21, 2014 How much should you bet?
- Apr 18, 2014 End-of-week links
- Apr 17, 2014 “The medical marketplace is broken”
- Apr 16, 2014 Discussion the role of student-athletes and coaches
- Apr 15, 2014 Who is health care’s Amazon.com?
- Apr 14, 2014 The uselessness of volume-based hospital analysis
- Apr 11, 2014 Friday Links
- Apr 10, 2014 HWR goes to the Lighthouse
- Apr 09, 2014 Why rich woman don’t get fat
- Apr 08, 2014 Quotations on Big Data