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Items: 13

1.
2.

Instrumental variables I: instrumental variables exploit natural variation in nonexperimental data to estimate causal relationships.

Rassen JA, Brookhart MA, Glynn RJ, Mittleman MA, Schneeweiss S.

J Clin Epidemiol. 2009 Dec;62(12):1226-32. doi: 10.1016/j.jclinepi.2008.12.005. Epub 2009 Apr 8.

3.

Instrumental variables II: instrumental variable application-in 25 variations, the physician prescribing preference generally was strong and reduced covariate imbalance.

Rassen JA, Brookhart MA, Glynn RJ, Mittleman MA, Schneeweiss S.

J Clin Epidemiol. 2009 Dec;62(12):1233-41. doi: 10.1016/j.jclinepi.2008.12.006. Epub 2009 Apr 5.

4.

The science of improvement.

Berwick DM.

JAMA. 2008 Mar 12;299(10):1182-4. doi: 10.1001/jama.299.10.1182. No abstract available.

PMID:
18334694
5.

On the Nature of Size Factors.

Wright S.

Genetics. 1918 Jul;3(4):367-74. No abstract available.

7.

Instruments for causal inference: an epidemiologist's dream?

HernĂ¡n MA, Robins JM.

Epidemiology. 2006 Jul;17(4):360-72. Erratum in: Epidemiology. 2014 Jan;25(1):164.

PMID:
16755261
8.

Instrumental variables: application and limitations.

Martens EP, Pestman WR, de Boer A, Belitser SV, Klungel OH.

Epidemiology. 2006 May;17(3):260-7.

PMID:
16617274
9.

Effectiveness of chemotherapy for advanced lung cancer in the elderly: instrumental variable and propensity analysis.

Earle CC, Tsai JS, Gelber RD, Weinstein MC, Neumann PJ, Weeks JC.

J Clin Oncol. 2001 Feb 15;19(4):1064-70.

PMID:
11181670
10.

An introduction to instrumental variables for epidemiologists.

Greenland S.

Int J Epidemiol. 2000 Aug;29(4):722-9.

PMID:
10922351
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