FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.
A classical problem in causal inference is that of matching, where treatment units need to be matched to control units. Some of the main challenges in developing matching methods arise from the tension among (i) inclusion of as many covariates as possible in defining the matched groups, (ii) having matched groups with enough treated and control units for a valid estimate of Average Treatment Effect (ATE) in each group, and (iii) computing the matched pairs efficiently for large datasets. In this paper we propose a fast method for approximate and exact matching in causal analysis called FLAME (Fast Large-scale Almost Matching Exactly). We define an optimization objective for match quality, which gives preferences to matching on covariates that can be useful for predicting the outcome while encouraging as many matches as possible. FLAME aims to optimize our match quality measure, leveraging techniques that are natural for query processing in the area of database management. We provide two implementations of FLAME using SQL queries and bit-vector techniques.
Publisher URL: http://arxiv.org/abs/1707.06315
Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.
Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.