Archive for the ‘SAS’ Category

sciseekclaimtoken-4f343317d3d60 I ran across this post at The Tree of LifeĀ entitled ‘Interesting new metagenomics paper w/ one big big big caveat – critical software not available”. The long and short of it? Paper appears in Science, has fancy new methodology, lacks the software for someone else to useĀ their methodology. Blog author understandably annoyed. But I […]

Speaking of R… On the 16th, TIOBE Software released the Tiobe Index of the most popular programming languages. For the first time ever, R is in the Top 20. The top spots are, no surprise, occupied by Java and C respectively. More after the jump.

This seems like as good a day as any to review CrossValidated, and the whole StackExchange constellation of websites. It’s been a month since I joined, exactly, and today I also crossed the 1,000 reputation threshold on the site. So why not give my impressions of it? First, how I got there in the first […]

SAS-X (and its cousin, R-Bloggers) is a massively useful resource for learning new tricks with your language of choice, keeping track of news, and generally getting to see cool things people are doing with data software. Which is why I’m pleased to say that Confounded by Confounding posts with the ‘SAS’ category tag will now […]

One of the things that frequently comes up in my research is the need to estimate a parameter from data, and then randomly draw samples from that parameter’s distribution to plug into another model. If you have a regular estimate from something like PROC LOGISTIC or PROC GENMOD, this is easy as pie, as SAS […]

I was recently inspired to comment on this blog post, asking is R is a cure for ‘mindless statistics’. Anyone whose familiar with statistics used in applied fields like epidemiology, sociology, social sciences generally will be familiar with the idea of a ‘statistical ritual’. Rather than think about the proper statistical approach to every question, […]

A brief foray into the actual nitty-gritty aspects of research, especially the part that seems to dominate the time of a graduate student in Epidemiology: coding. Particularly, the code for generating random numbers from a truncated normal distribution in SAS 9.2. Generating numbers from a regular normal distribution is easy as pie: x=rannor(seed), where x […]