The DOI matches its Crossref record.
Fitting Models to Biological Data Using Linear and Nonlinear Regression: A practical guide to curve fitting
Abstract
Most biologists use nonlinear regression more than any other statistical technique, but there are very few places to learn about curve-fitting. This book, by the author of the very successful Intuitive Biostatistics, addresses this relatively focused need of an extraordinarily broad range of scientists. The book will likely be purchased by a high proportion of biological laboratories, for frequent reference. The author gets about 3000 visits per month to his curvefit website, with the average visitor viewing 9 pages.
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
Decoding the Contents of Visual Short-Term Memory from Human Visual and Parietal Cortex
Christophel, T. B., Hebart, M. N., & Haynes, J.-D. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0184-12.2012 · Cited by 295
Addressing Kinase-Independent Functions of Fak via PROTAC-Mediated Degradation
Cromm, P. M., Samarasinghe, K. T. G., Hines, J., & Crews, C. M. (2018) · Journal of the American Chemical Society · doi:10.1021/jacs.8b08008 · Cited by 293
Hladky, S. B., & Barrand, M. A. (2018) · Fluids and Barriers of the CNS · doi:10.1186/s12987-018-0113-6 · Cited by 206
C57BL/6N Mutation in Cytoplasmic FMRP interacting protein 2 Regulates Cocaine Response
Kumar, V., Kim, K., Joseph, C., Kourrich, S., Yoo, S.-H., Huang, H. C., Vitaterna, M. H., Pardo-Manuel de Villena, F., Churchill, G., Bonci, A., et al. (2013) · Science · doi:10.1126/science.1245503 · Cited by 187
Olson, E. A., Collins, P. F., Hooper, C. J., Muetzel, R., Lim, K. O., & Luciana, M. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21107 · Cited by 185
Metadata
- Authors
- Motulsky, H., & Christopoulos, A.
- Publisher
- Oxford University PressNew York, NY
- Published
- 2004-05-27
- OpenAlex
- W4388251328
- Cited by
- 1,392
- References
- 0
- FWCI
- 12.69
- 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: Fitting Models to Biological Data Using Linear and Nonlinear Regression: A practical guide to curve fitting. https://app.cochat.ai/papers/10.1093/oso/9780195171792.001.0001
- The paper
- Motulsky, H., & Christopoulos, A. (2004). Fitting Models to Biological Data Using Linear and Nonlinear Regression: A practical guide to curve fitting. https://doi.org/10.1093/oso/9780195171792.001.0001
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.