The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interaction Terms in Nonlinear Models
Open accessAbstract
Objectives: To explain the use of interaction terms in nonlinear models. Study Design: We discuss the motivation for including interaction terms in multivariate analyses. We then explain how the straightforward interpretation of interaction terms in linear models changes in nonlinear models, using graphs and equations. We extend the basic results from logit and probit to difference‐in‐differences models, models with higher powers of explanatory variables, other nonlinear models (including log transformation and ordered models), and panel data models. Empirical Application: We show how to calculate and interpret interaction effects using a publicly available Stata data set with a binary outcome. Stata 11 has added several features which make those calculations easier.LIMDEP code also is provided. Conclusions: It is important to understand why interaction terms are included in nonlinear models in order to be clear about their substantive interpretation.
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
Cites
Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling
Terza, J. V., Basu, A., & Rathouz, P. J. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2007.09.009 · Cited by 1,728
Cited by
Health and Access to Care during the First 2 Years of the ACA Medicaid Expansions
Miller, S., & Wherry, L. R. (2017) · New England Journal of Medicine · doi:10.1056/nejmsa1612890 · Cited by 478
National Hiring Experiments Reveal 2:1 Faculty Preference for Women on Stem Tenure Track
Williams, W. M., & Ceci, S. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418878112 · Cited by 435
Wherry, L. R., & Miller, S. (2016) · Annals of Internal Medicine · doi:10.7326/m15-2234 · Cited by 422
The Impact of Acquisitions on Innovation: Poison Pill, Placebo, or Tonic?
Prabhu, J. C., Chandy, R. K., & Ellis, M. E. (2005) · Journal of Marketing · doi:10.1509/jmkg.69.1.114.55514 · Cited by 391
Clinical Benefits of Electronic Health Record Use: National Findings
King, J., Patel, V., Jamoom, E. W., & Furukawa, M. F. (2014) · Health Services Research · doi:10.1111/1475-6773.12135 · Cited by 273
Metadata
- Authors
- Karaca‐Mandic, P., Norton, E. C., & Dowd, B.
- Venue
- Health Services Research
- Publisher
- Wiley
- Published
- 2011-08-30
- Volume
- 47
- Issue
- 1pt1
- Pages
- 255-274
- ISSN
- 0017-9124 (ISSN-L)
- 1475-6773
- OpenAlex
- W2027748634
- Cited by
- 722
- References
- 1
- FWCI
- 26.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Interaction Terms in Nonlinear Models. https://app.cochat.ai/papers/10.1111/j.1475-6773.2011.01314.x
- The paper
- Karaca‐Mandic, P., Norton, E. C., & Dowd, B. (2012). Interaction Terms in Nonlinear Models. Health Services Research. https://doi.org/10.1111/j.1475-6773.2011.01314.x
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.
