The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Basic Methods for Sensitivity Analysis of Biases
Abstract
Greenland S (Department of Epidemiology, UCLA School of Public Health, Los Angeles, CA 90095-1772, USA). Basic methods for sensitivity analysis of biases. International Journal of Epidemiology 1996; 25: 1107–1116 Most discussions of statistical methods focus on accounting for measured confounders and random errors in the data-generating process. In observational epidemiology, however, controllable confounding and random error are sometimes only a fraction of the total error, and are rarely if ever the only important source of uncertainty. Potential biases due to unmeasured confounders, classification errors, and selection bias need to be addressed in any thorough discussion of study results. This paper reviews basic methods for examining the sensitivity of study results to biases, with a focus on methods that can be implemented without computer programming. Sensitivity analysis is helpful in obtaining a realistic picture of the potential impact of biases.
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Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2003) · doi:10.1201/9780429258480 · Cited by 27,276
QUANTITATIVE METHODS IN THE REVIEW OF EPIDEMIOLOGIC LITERATURE1
GREENLAND, S. (1987) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036298 · Cited by 1,644
Self-citationRandomization, Statistics, and Causal Inference
Greenland, S. (1990) · Epidemiology · doi:10.1097/00001648-199011000-00003 · Cited by 385
Self-citation
Cited by
Davey Smith, G., & Ebrahim, S. (2003) · International Journal of Epidemiology · doi:10.1093/ije/dyg070 · Cited by 5,882
Exploring pathways linking greenspace to health: theoretical and methodological guidance
Markevych, I., Schoierer, J., Hartig, T., Chudnovsky, A., Hystad, P., Dzhambov, A. M., de Vries, S., Triguero-Mas, M., Brauer, M., Nieuwenhuijsen, M. J., et al. (2017) · Environmental Research · doi:10.1016/j.envres.2017.06.028 · Cited by 2,543
Delgado-Rodríguez, M., & Llorca, J. (2004) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2003.008466 · Cited by 1,064
A meta‐analysis of coffee drinking, cigarette smoking, and the risk of Parkinson's disease
Hernán, M. A., Takkouche, B., Caamaño‐Isorna, F., & Gestal‐Otero, J. J. (2002) · Annals of Neurology · doi:10.1002/ana.10277 · Cited by 818
The Impact of Residual and Unmeasured Confounding in Epidemiologic Studies: A Simulation Study
Fewell, Z., Davey Smith, G., & Sterne, J. A. C. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm165 · Cited by 734
Metadata
- Authors
- GREENLAND, S.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-12-01
- Volume
- 25
- Issue
- 6
- Pages
- 1107-1116
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2112746019
- Cited by
- 586
- References
- 3
- FWCI
- 1.98
- Type
- journal article
- Language
- en
- Open access
- closed
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