<--- Back to Details
First PageDocument Content
Knowledge / Propensity score / Experiment / Observational study / Confounding / Causality / Randomized experiment / Propensity probability / Propensity score matching / Statistics / Science / Design of experiments
Date: 2013-05-20 00:14:45
Knowledge
Propensity score
Experiment
Observational study
Confounding
Causality
Randomized experiment
Propensity probability
Propensity score matching
Statistics
Science
Design of experiments

Covariate Balancing Propensity Score

Add to Reading List

Source URL: www.amstat.org

Download Document from Source Website

File Size: 805,16 KB

Share Document on Facebook

Similar Documents

Design of experiments / Causal inference / Observational study / Metaphysics / Statistics / Estimation theory / Probability and statistics / Regression analysis / Propensity score matching / Matching / Confounding / Average treatment effect

Adjusting for Confounding with Text Matching∗ Margaret E. Roberts†, Brandon M. Stewart‡, and Richard A. Nielsen§ February 27, 2018¶ Abstract We identify situations in which conditioning on text can address confou

DocID: 1xTCd - View Document

Multicausality: Confounding - Assignment solutions 1. a. Reserpine is a risk factor. Overall, the incidence of breast cancer isper 100,000 women-years in reserpine users and 6.14 per 100,000 women-years in nonuser

DocID: 1vpNA - View Document

Algorithmic Decision Making in the Presence of Unmeasured Confounding Jongbin Jung Stanford University

DocID: 1v3Zm - View Document

13. Multicausality – analysis approaches Concepts and methods for analyzing epidemiologic data involving more than two variables; control of confounding through stratified analysis and mathematical modeling. Multivaria

DocID: 1uNxO - View Document

Introduction to matching Tuesday, November 13, 2012 9:09 PM • In brief, matching is a way of non‐parametrically controlling for confounding  variables

DocID: 1uuCK - View Document