Reducing Bias Amplification in the Presence of Unmeasured Confounding through Out-of-Sample Estimation Strategies for the Disease Risk Score
Author
Abstract
Suggested Citation
DOI: 10.1515/jci-2014-0009
Download full text from publisher
References listed on IDEAS
- Jay Bhattacharya & William B. Vogt, 2007. "Do Instrumental Variables Belong in Propensity Scores?," NBER Technical Working Papers 0343, National Bureau of Economic Research, Inc.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lenz, Gabriel & Sahn, Alexander, 2017. "Achieving Statistical Significance with Covariates and without Transparency," MetaArXiv s42ba, Center for Open Science.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Ay, Jean-Sauveur & Le Gallo, Julie, 2021.
"The Signaling Values of Nested Wine Names,"
Working Papers
321851, American Association of Wine Economists.
- Jean-Sauveur Ay & Julie Le Gallo, 2021. "The signaling value of nested wine names," Post-Print hal-03268014, HAL.
- Rebecca Riley & Hilary Metcalf & John Forth, 2013.
"The business case for equal opportunities,"
Industrial Relations Journal, Wiley Blackwell, vol. 44(3), pages 216-239, May.
- Rebecca Riley & Hilary Metcalf & John Forth, 2009. "The Business Case for Equal Opportunities," National Institute of Economic and Social Research (NIESR) Discussion Papers 335, National Institute of Economic and Social Research.
- Pearl Judea, 2013. "Linear Models: A Useful “Microscope” for Causal Analysis," Journal of Causal Inference, De Gruyter, vol. 1(1), pages 155-170, June.
- Bisakha Sen & Stephen Mennemeyer & Lisa C. Gary, 2009. "The Relationship Between Neighborhood Quality and Obesity Among Children," NBER Working Papers 14985, National Bureau of Economic Research, Inc.
- Rebecca Riley & Hilary Metcalf & John Forth, 2013.
"The business case for equal opportunities,"
Industrial Relations Journal, Wiley Blackwell, vol. 44(3), pages 216-239, May.
- Rebecca Riley & Hilary Metcalf & John Forth, 2009. "The Business Case for Equal Opportunities," National Institute of Economic and Social Research (NIESR) Discussion Papers 335, National Institute of Economic and Social Research.
- Bryan Keller, 2020. "Variable Selection for Causal Effect Estimation: Nonparametric Conditional Independence Testing With Random Forests," Journal of Educational and Behavioral Statistics, , vol. 45(2), pages 119-142, April.
- Chabé-Ferret, Sylvain, 2015. "Analysis of the bias of Matching and Difference-in-Difference under alternative earnings and selection processes," Journal of Econometrics, Elsevier, vol. 185(1), pages 110-123.
- Deter, Max & van Hoorn, André, 2023. "Selection, socialization, and risk preferences in the finance industry: Longitudinal evidence for German finance professionals," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 106(C).
- Chabé-Ferret, Sylvain, 2012.
"Matching vs Differencing when Estimating Treatment Effects with Panel Data: the Example of the Effect of Job Training Programs on Earnings,"
LERNA Working Papers
12.24.381, LERNA, University of Toulouse.
- Chabé-Ferret, Sylvain, 2012. "Matching vs Differencing when Estimating Treatment Effects with Panel Data: the Example of the Effect of Job Training Programs on Earnings," TSE Working Papers 12-356, Toulouse School of Economics (TSE).
- Steiner Peter M. & Kim Yongnam, 2016. "The Mechanics of Omitted Variable Bias: Bias Amplification and Cancellation of Offsetting Biases," Journal of Causal Inference, De Gruyter, vol. 4(2), pages 1-22, September.
- Steven Lawry & Cyrus Samii & Ruth Hall & Aaron Leopold & Donna Hornby & Farai Mtero, 2014. "The Impact of Land Property Rights Interventions on Investment and Agricultural Productivity in Developing Countries: a Systematic Review," Campbell Systematic Reviews, John Wiley & Sons, vol. 10(1), pages 1-104.
More about this item
Keywords
bias amplification; prognostic score; unmeasured confounding; path analysis; causal diagrams;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:causin:v:2:y:2014:i:2:p:16:n:4. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.