Making causal claims John Mayne

First Page		Document Content
Date: 2012-11-01 09:40:49 Philosophy of science Impact assessment Knowledge Causality Observational study Impact evaluation Participatory impact pathways analysis Institutional Learning and Change Initiative Confounding Science Evaluation Evaluation methods		Making causal claims John Mayne Add to Reading List Source URL: www.cgiar-ilac.org Download Document from Source Website File Size: 87,26 KB Share Document on Facebook

	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