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Observational studies require adjustment for confounding factors that are correlated with both the treatment and outcome.
CLEVRER: CoLlision Events for Video REpresentation and Reasoning
Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, and Joshua B. Tenenbaum · 1910
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What Is the Association between Absolute Child Poverty, Poor Governance, and Natural Disasters? A Global Comparison of Some of the Realities of Climate Change
Adel Daoud, Björn Halleröd, and Debarati Guha-Sapir · 1932
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Multi-Level Cause-Effect Systems
Krzysztof Chalupka, Frederick Eberhardt, and Pietro Perona · 1938
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The central role of the propensity score in observational studies for causal effects
Paul R Rosenbaum and Donald B Rubin · 1983
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The modifiable areal unit problem in multivariate statistical analysis
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Satellite remote sensing for forestry planning—A review
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High-dimensional propensity score adjustment in studies of treatment effects using health care claims data
Sebastian Schneeweiss, Jeremy A Rassen, Robert J Glynn, Jerry Avorn, Helen Mogun, and M Alan Brookhart · 2009
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Annemarie Schneider, Mark A Friedl, and David Potere · 2009
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Christopher J Paciorek · 2010
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Michele Jonsson Funk, Daniel Westreich, Chris Wiesen, Til Stürmer, M Alan Brookhart, and Marie Davidian · 2011
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Jennifer L Hill · 2011
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Tara Bedi, Aline Coudouel, and Kenneth Simler · 2012
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Social selection and peer influence in an online social network
Kevin Lewis, Marco Gonzalez, and Jason Kaufman · 2012
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Betsy Sinclair, Margaret McConnell, and Donald P. Green · 2012
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The SAGE handbook of regression analysis and causal inference
Henning Best and Christof Wolf · 2013
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Text as data: The promise and pitfalls of automatic content analysis methods for political texts
Justin Grimmer and Brandon M Stewart · 2013
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Bad governance and poor children: A comparative analysis of government efficiency and severe child deprivation in 68 low-and middle-income countries
Björn Halleröd, Bo Rothstein, Adel Daoud, and Shailen Nandy · 2013
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Transportation network analysis by using remote sensing and gis a review
Ajay D Nagne and Bharti W Gawali · 2013
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Linear Models: A Useful “Microscope” for Causal Analysis
Judea Pearl · 2013
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Alexandre Belloni, Victor Chernozhukov, and Christian Hansen · 2014
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Manabu Kuroki and Judea Pearl · 2014
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Moving towards best practice when using inverse probability of treatment weighting (iptw) using the propensity score to estimate causal treatment effects in observational studies
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Review of remote sensing methodologies for pavement management and assessment
E Schnebele, BF Tanyu, G Cervone, and N Waters · 2015
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Nigeria aims geocoded research release level 1 v1.3.2 geocoded dataset
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