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Analytics
Rick Wicklin 0
3 problems with mean imputation

In a previous article, I showed how to use SAS to perform mean imputation. However, there are three problems with using mean-imputed variables in statistical analyses: Mean imputation reduces the variance of the imputed variables. Mean imputation shrinks standard errors, which invalidates most hypothesis tests and the calculation of confidence

Analytics | Data Management | Fraud & Security Intelligence
David Kennedy 0
How law enforcement can use analytics to combat the opioid epidemic

A steady drumbeat of news coverage makes one thing clear: Opioid abuse is rising and has reached epidemic levels throughout our country. Overdoses from the diversion and abuse of prescription opioids are one cause of the surge in deaths. Overdoses from heroin and other illicit synthetic opioids (such as heroin,

Work & Life at SAS
Page Cvelich 0
College Students Home for the Holidays

Welcome back from your Thanksgiving holiday break! I have to ask. Was your time with your returning college student as wonderful as you thought it would be? Chances are there were at least some brief moments of disappointment. You thought you’d have more time together…and, yet, your student spent more

Data Visualization | Learn SAS | Programming Tips
Sanjay Matange 0
Little things go a long way

In my previous post, I described a new options to control the widths of the caps for Whiskers, Error and Limit bars.  This topic could have been titled "Little things go a long way", as such details really make for a good graph. In a similar manner, another detail issue

Data Management
Jeanne (Hyunjin) Byun 0
'21세기 원유'에서 '21세기 하이웨이'로…데이터 매니지먼트 패러다임의 전환

데이터 매니지먼트가 중요한 이유 우리는 지금 데이터가 사회와 경제를 움직이는 ‘데이터 이코노미’ 시대에서 살고 있다. 시장조사업체 IDC는 전 세계 데이터 양은 매년 약 30% 증가해 2025년에는 현재보다 10배 늘어난 163제타바이트(ZB)에 이를 것으로 전망했다. 이처럼 폭증하는 빅데이터를 가트너(Gartner)에서는 ‘21세기 원유’로 규정하기까지 했다. 하지만 이제는 빅데이터를 단순한 ‘콘텐츠’가 아닌 ‘프로세스’와 ‘인프라’ 관점에서

Programming Tips
Rick Wicklin 0
Mean imputation in SAS

Imputing missing data is the act of replacing missing data by nonmissing values. Mean imputation replaces missing data in a numerical variable by the mean value of the nonmissing values. This article shows how to perform mean imputation in SAS. It also presents three statistical drawbacks of mean imputation. How

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