Posts Tagged “regression”

The Problem with Propensity Scores

April 15, 2015 . .
Propensity scores are increasingly in vogue as a way to adjust for differences between populations in estimating treatment effects. Some view propensity scores as an almost mythical way of dealing with confounding. However, they are limited to adjustment for the observables, just like standard regression. So it raises the question "how do propensity scores compare as an estimator relative to linear regression?" The answer is short --- "not well."
statistics r regression propensity-scores

Stop using bivariate correlations for variable selection

March 20, 2014 . .
You need to come up with a regression model for some response. You have tons of predictor variables that you might want to consider. How do you decide what variables to consider in your model? If you started with bivariate correlations of the response and each predictor, you may be in for some trouble.
statistics r modelSelection regression

TV Ratings Myths

August 29, 2013 . .
Everyone loves TV and hates it when their favorite show gets canceled. That is why they refuse to watch shows on Fox or watch anything that is airing Friday evening. But do these commonly held beliefs hold true? Does Fox hate TV and is Friday night a graveyard for scripted TV?
statistics regression ggplot r tv fun

Taking Expectations to the Next Level

February 1, 2013 . .
Shortly after making yesterday's post, I saw a visualization of apartment rental prices in Boston. As is commonly known, the three most important things in real estate are location, location, location. But location can go either way for prices, where is the good area and living on Yucca Mountain. How can we figure out which locations are good or bad without knowing anything else about Boston? We use the same method discussed in yesterday's simulation but on good old fashioned real data.
dataMining EM R statistics regression applied

Maximize Your Expectations!

January 31, 2013 . .
Observational studies have the same problem as poker, you have to play the cards you are dealt. This can be a problem when you expect people to responder differently to some variable according to some number of unobserved variables. While expectation-maximization probably won't help you in your weekly Texas Hold'em game, it can be an ace up your sleeve in data analysis.
dataMining EM R statistics regression simulation