The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Families of lines: random effects in linear regression analysis
Abstract
Laboratory experiments often involve two groups of subjects, with a linear phenomenon observed in each subject. Simple linear regression as propounded in standard textbooks is inadequate to treat this experimental design, particularly when it comes to dealing with random variation of slopes and intercepts among subjects. The author describes several techniques that can be used to compare two independent families of lines and illustrates their use with laboratory data. The methods are described tutorially, compared, and discussed in the context of more sophisticated and more naive approaches to this common data-analytic problem. Technical details are supplied in APPENDIX A.
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
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
Harville, D. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10480998 · Cited by 2,667
Cited by
Using Degradation Measures to Estimate a Time-to-Failure Distribution
Lu, C. J., & Meeker, W. O. (1993) · Technometrics · doi:10.1080/00401706.1993.10485038 · Cited by 1,161
O'Donnell, D. E., & Webb, K. A. (1993) · American Review of Respiratory Disease · doi:10.1164/ajrccm/148.5.1351 · Cited by 543
Mechanism by Which the Prone Position Improves Oxygenation in Acute Lung Injury
Lamm, W. J., Graham, M. M., & Albert, R. K. (1994) · American journal of respiratory and critical care medicine · doi:10.1164/ajrccm.150.1.8025748 · Cited by 486
Individual Differences in Adult Human Sleep and Wakefulness: Leitmotif for a Research Agenda
van Dongen, H. P. A., Vitellaro, K. M., & Dinges, D. F. (2005) · Sleep · doi:10.1093/sleep/28.4.479 · Cited by 339
Metadata
- Authors
- Feldman, H. A.
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 1988-04-01
- Volume
- 64
- Issue
- 4
- Pages
- 1721-1732
- ISSN
- 0161-7567 (ISSN-L)
- 8750-7587
- 1522-1601
- OpenAlex
- W2163426512
- Cited by
- 223
- References
- 2
- FWCI
- 8.33
- 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: Families of lines: random effects in linear regression analysis. https://app.cochat.ai/papers/10.1152/jappl.1988.64.4.1721
- The paper
- Feldman, H. A. (1988). Families of lines: random effects in linear regression analysis. Journal of Applied Physiology. https://doi.org/10.1152/jappl.1988.64.4.1721
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.
