| |

Wandering through the blog: random, unfocused thoughts on research, SAS etc.

The NIH stimulus grants were supposed to be announced in August. Many people I know have already been turned down, no surprise since there were 10,000 applications for 200 grants. I checked on grants.gov last night and our proposal has been assigned a panel with a review date of 10/2009 which is very weird since…

| | |

Discovering if your data blow with help from SAS Enterprise Guide

“Is there anything you can do to help? I’d kill you but there is a law against it. You’d better leave before I figure out a way around that.” This comment was made by a co-worker of mine who had saved all of the data for his thesis for a masters in computer science on…

|

There is no such thing as conservative math!

Statisticians should not listen to talk radio or to anything on the Fox network. Those people who say that you can prove anything with statistics are mistaken. You can prove anything with statistics to people who don’t understand statistics. I think some of those same people you can prove anything to with a box of…

Statistical Consulting: Telling People What They Don’t Want to Know

Being a Type-AAA personality,  in addition to running the Julia Group, I have a ‘day job’ as a statistical consultant at a university where the communications people shudder as they walk by me. (I love the title of the book Molly Ivins Can’t Say That Can She? Simply because it reminds me of the reactions…

| |

Fixing character data without beatings: SAS Enterprise Guide

At the JMP seminar on Monday, when Dick De Veaux said that 65-70% of time in all research projects is spent on data cleaning, everyone in the audience groaned in agreement. One of the biggest problems I run into is recoding those simple textboxes. For example, we often want to look at data for one…

|

When acceptance is really rejection: Death by Green Pants

The model is non-significant, therefore my theory is supported. Huh? Just when you thought it was safe to get back into statistics… It took you two years of graduate school but now you have it down. P-value low = good, relationship detected, publication, tenure, Abercrombie & Fitch models at your feet. P-value = high, no…

|

Controlling for Damn Near Everything: Propensity Score Matching

Lately I have been on a roll looking at relatively less common statistical techniques, proportional hazards, survival analysis, etc. In keeping with that, I have been taking a look at propensity score matching, fondly known as PSM by, – well, by no one actually. The problem to be solved …. Think about some of these…