Controlling for time-dependent confounding using marginal structural models
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- Roger Newson, 2001. "somersd-Confidence intervals for nonparametric statistics and their differences," Stata Technical Bulletin, StataCorp LP, vol. 10(55).
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- Buenstorf, Guido, 2009. "Is commercialization good or bad for science? Individual-level evidence from the Max Planck Society," Research Policy, Elsevier, vol. 38(2), pages 281-292, March.
- Xiao , Jing, 2014. "Ownership Change, Multinationals, and Growth of New Technology-Based Firms," Papers in Innovation Studies 2014/24, Lund University, CIRCLE - Center for Innovation, Research and Competences in the Learning Economy.
- Pirani, Elena & Salvini, Silvana, 2015. "Is temporary employment damaging to health? A longitudinal study on Italian workers," Social Science & Medicine, Elsevier, vol. 124(C), pages 121-131.
- Yana Kucheva, 2014. "The Receipt of Subsidized Housing across Generations," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 33(6), pages 841-871, December.
- Jing Xiao, 2015. "The effects of acquisition on the growth of new technology-based firms: Do different types of acquirers matter?," Small Business Economics, Springer, vol. 45(3), pages 487-504, October.
- Elena Pirani & Silvana Salvini, 2014. "Is temporary employment damaging to health? A longitudinal study on Italian workers," Econometrics Working Papers Archive 2014_08, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
- Erica Moodie & D. Stephens, 2011. "Marginal Structural Models: unbiased estimation for longitudinal studies," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(1), pages 117-119, February.
- Do, D. Phuong & Wang, Lu & Elliott, Michael R., 2013. "Investigating the relationship between neighborhood poverty and mortality risk: A marginal structural modeling approach," Social Science & Medicine, Elsevier, vol. 91(C), pages 58-66.
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Keywordsmarginal structural models; causal models; weighted regression; survival analysis; logistic regression; confounding;
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