The DOI matches its Crossref record.
CONFOUNDING: ESSENCE AND DETECTION1
Abstract
Confounding is examined from first principles. In follow-up studies a confounder is a predictor of diagnosing the illness--by being either a risk indicator or a determinant of diagnostic errors; in addition, it shows different distributions between the exposed and nonexposed series. In case-referent studies confounding can arise in two ways. A priori confounders are correlates of exposure in the joint source population of cases and reference subjects; also, they are determinants of diagnosing the illness or have different selection implications between cases and referents. In addition, factors bearing on the accuracy of exposure information are confounders if distributed differently between cases and referents. Criteria based singularly on relationships in the data can be misleading. Similarly, a change in the estimate and even a change in the parameter as a result of control is not a criterion rooted in first principles of confounding and can lead to a false conclusion.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Robins, J. (1986) · Mathematical Modelling · doi:10.1016/0270-0255(86)90088-6 · Cited by 2,451
Modeling and variable selection in epidemiologic analysis
Greenland, S. (1989) · American Journal of Public Health · doi:10.2105/ajph.79.3.340 · Cited by 2,208
Overadjustment bias and unnecessary adjustment in epidemiologic studies.
Schisterman, E. F., Cole, S. R., & Platt, R. W. (2009) · Epidemiology · doi:10.1097/ede.0b013e3181a819a1 · Cited by 2,096
Hernan, M. A. (2002) · American Journal of Epidemiology · doi:10.1093/aje/155.2.176 · Cited by 1,445
Selection of Controls in Case-Control Studies
Wacholder, S., McLaughlin, J. K., Silverman, D. T., & Mandel, J. S. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116396 · Cited by 998
Metadata
- Authors
- MIETTINEN, O. S., & COOK, E. F.
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1981-10
- Volume
- 114
- Issue
- 4
- Pages
- 593-603
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W2159793007
- Cited by
- 349
- References
- 0
- FWCI
- 6.68
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: CONFOUNDING: ESSENCE AND DETECTION1. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a113225
- The paper
- MIETTINEN, O. S., & COOK, E. F. (1981). CONFOUNDING: ESSENCE AND DETECTION1. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a113225
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.