The DOI matches its Crossref record.
Measurement Error and Misclassification in Statistics and Epidemiology
Abstract
Mismeasurement of explanatory variables is a common hazard when using statistical modeling techniques, and particularly so in fields such as biostatistics and epidemiology where perceived risk factors cannot always be measured accurately. With this perspective and a focus on both continuous and categorical variables, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments examines the consequences and Bayesian remedies in those cases where the explanatory variable cannot be measured with precision. The author explores both measurement error in continuous variables and misclassification in discrete variables, and shows how Bayesian methods might be used to allow for mismeasurement. A broad range of topics, from basic research to more complex concepts such as "wrong-model" fitting, make this a useful research work for practitioners, students and researchers in biostatistics and epidemiology."
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
Multiple-bias modelling for analysis of observational data
Greenland, S. (2005) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.1111/j.1467-985x.2004.00349.x · Cited by 497
Kissling, W. D., Dormann, C. F., Groeneveld, J., Hickler, T., Kühn, I., McInerny, G. J., Montoya, J. M., Römermann, C., Schiffers, K., Schurr, F. M., et al. (2012) · Journal of Biogeography · doi:10.1111/j.1365-2699.2011.02663.x · Cited by 419
The analysis of ordered categorical data: An overview and a survey of recent developments
Liu, I., & Agresti, A. (2005) · Test · doi:10.1007/bf02595397 · Cited by 301
A method to automate probabilistic sensitivity analyses of misclassified binary variables
Fox, M. P., Lash, T. L., & Greenland, S. (2005) · International Journal of Epidemiology · doi:10.1093/ije/dyi184 · Cited by 288
Reflection on modern methods: five myths about measurement error in epidemiological research
van Smeden, M., Lash, T. L., & Groenwold, R. H. H. (2020) · International Journal of Epidemiology · doi:10.1093/ije/dyz251 · Cited by 173
Metadata
- Authors
- Gustafson, P.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2003-09-25
- OpenAlex
- W4242238911
- Cited by
- 245
- References
- 0
- FWCI
- 2.04
- Type
- book
- 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: Measurement Error and Misclassification in Statistics and Epidemiology. https://app.cochat.ai/papers/10.1201/9780203502761
- The paper
- Gustafson, P. (2003). Measurement Error and Misclassification in Statistics and Epidemiology. Chapman & Hall/CRC eBooks. https://doi.org/10.1201/9780203502761
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.