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本文引用的文献

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Assessment and indirect adjustment for confounding by smoking in cohort studies using relative hazards models.
Am J Epidemiol. 2014 Nov 1;180(9):933-40. doi: 10.1093/aje/kwu211. Epub 2014 Sep 21.
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The control outcome calibration approach for causal inference with unobserved confounding.
Am J Epidemiol. 2014 Mar 1;179(5):633-40. doi: 10.1093/aje/kwt303. Epub 2013 Dec 20.
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Update of the NIOSH life table analysis system: a person-years analysis program for the windows computing environment.
Am J Ind Med. 2011 Dec;54(12):915-24. doi: 10.1002/ajim.20999. Epub 2011 Aug 30.
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Negative controls: a tool for detecting confounding and bias in observational studies.
Epidemiology. 2010 May;21(3):383-8. doi: 10.1097/EDE.0b013e3181d61eeb.
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Constructing inverse probability weights for marginal structural models.
Am J Epidemiol. 2008 Sep 15;168(6):656-64. doi: 10.1093/aje/kwn164. Epub 2008 Aug 5.
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Mortality among US employees of a large computer manufacturing company: 1969-2001.
Environ Health. 2006 Oct 19;5:30. doi: 10.1186/1476-069X-5-30.
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Tenth revision U.S. mortality rates for use with the NIOSH Life Table Analysis System.
J Occup Environ Med. 2006 Jul;48(7):662-7. doi: 10.1097/01.jom.0000229968.74906.8f.
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Regression modelling and other methods to control confounding.
Occup Environ Med. 2005 Jul;62(7):500-6, 472. doi: 10.1136/oem.2002.001115.
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Estimating causal effects.
Int J Epidemiol. 2002 Apr;31(2):422-9.
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An alternative to the proportionate mortality ratio.
Am J Epidemiol. 1981 Jul;114(1):144-8. doi: 10.1093/oxfordjournals.aje.a113161.

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