The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Invited Commentary: Positivity in Practice
Open accessAbstract
Positivity, or the experimental treatment assignment assumption, requires that there be both exposed and unexposed participants at every combination of the values of the observed confounders in the population under study. Positivity is essential for inference but is often overlooked in practice by epidemiologists. This issue of the Journal includes 2 articles featuring discussions related to positivity. Here the authors define positivity, distinguish between deterministic and random positivity, and discuss the 2 relevant papers in this issue. In addition, the commentators illustrate positivity in simple 2 x 2 tables, as well as detail some ways in which epidemiologists may examine their data for nonpositivity and deal with violations of positivity in practice.
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Citations
Cites
The Effectiveness of Adjustment by Subclassification in Removing Bias in Observational Studies
Cochran, W. G. (1968) · Biometrics · doi:10.2307/2528036 · Cited by 961
Robins, J. (1987) · Journal of Chronic Diseases · doi:10.1016/s0021-9681(87)80018-8 · Cited by 305
Messer, L. C., Oakes, J. M., & Mason, S. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp435 · Cited by 161
Cited by
The Table 2 Fallacy: Presenting and Interpreting Confounder and Modifier Coefficients
Westreich, D., & Greenland, S. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws412 · Cited by 1,276
Self-citationDoubly robust estimation of causal effects
Funk, M. J., Westreich, D., Wiesen, C., Stürmer, T., Brookhart, M. A., & Davidian, M. (2011) · American Journal of Epidemiology · doi:10.1093/aje/kwq439 · Cited by 1,158
Self-citationNaimi, A. I., Cole, S. R., & Kennedy, E. H. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyw323 · Cited by 332
Self-citationStürmer, T., Wyss, R., Glynn, R. J., & Brookhart, M. A. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12197 · Cited by 302
Imputation approaches for potential outcomes in causal inference
Westreich, D., Edwards, J. K., Cole, S. R., Platt, R. W., Mumford, S. L., & Schisterman, E. F. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv135 · Cited by 64
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Metadata
- Authors
- Westreich, D., & Cole, S. R.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-02-05
- Volume
- 171
- Issue
- 6
- Pages
- 674-677
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2146607417
- Cited by
- 412
- References
- 3
- Type
- journal article
- Language
- en
- Open access
- bronze
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