In recent years a number of researchers have proposed using machine learning techniques to impute missing data. One of these is the so called random forest technique. I recently gave a talk at the International Biometric Society’s conference in Florence, Italy, on the topic. In case it is of interest to anyone, the slides of the talk are available below.
Slides from talk at IBC2014 on random forest multiple imputation
Since my post on Sunday a number of new polls have come out. This post shows the results of the meta-analysis using the six polls whose results have come out since Sunday.
As most readers will know, this Thursday (18th September 2014), residents of Scotland will vote in a referendum to decide whether to become independent of the UK. While the No campaign had previously maintained a reasonably healthy lead against Yes, in recent weeks the race has tightened considerably, on the basis of polls of voting intentions. In particular, two polls have now shown larger proportions saying they will vote Yes compared to the proportions voting No. With a flurry of polls conducted in the last week, each with slightly different results, I decided to perform a simple meta-analysis of the poll results, to estimate the current state of play, based on the available evidence.