The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Model averaging, missing data and multiple imputation: a case study for behavioural ecology
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Citations
Cites
Model selection and multimodel inference: a practical information-theoretic approach.
Guthery, F. S., Burnham, K. P., & Anderson, D. R. (2003) · The Journal of Wildlife Management · doi:10.2307/3802723 · Cited by 41,495
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701
mice: Multivariate Imputation by Chained Equations in R
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
A test of missing completely at random for multivariate data with missing values
Little, R. J. A. (1988) · Journal of the American Statistical Association · doi:10.1080/01621459.1988.10478722 · Cited by 8,963
Statistical Analysis with Missing Data
Little, R. J. A., & Rubin, D. B. (2002) · Wiley Series in Probability and Statistics · doi:10.1002/9781119013563 · Cited by 8,473
Analysis of Incomplete Multivariate Data
Schafer, J. L. (1997) · doi:10.1201/9781439821862 · Cited by 6,012
Bartoń, K. (2010) · CRAN: Contributed Packages · doi:10.32614/cran.package.mumin · Cited by 4,829
Multiple imputation after 18+ years
Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476908 · Cited by 4,072
Cited by
A brief introduction to mixed effects modelling and multi-model inference in ecology
Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018) · PeerJ · doi:10.7717/peerj.4794 · Cited by 2,094
Model selection and model averaging in behavioural ecology: the utility of the IT-AIC framework
Richards, S. A., Whittingham, M. J., & Stephens, P. A. (2011) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-010-1035-8 · Cited by 566
Linear and generalized linear mixed models
Bolker, B. M. (2015) · Ecological Statistics · doi:10.1093/acprof:oso/9780199672547.003.0014 · Cited by 339
Plaschke, S., Bulla, M., Cruz-López, M., Gómez del Ángel, S., & Küpper, C. (2019) · Frontiers in Zoology · doi:10.1186/s12983-019-0313-1 · Cited by 31
Exploring gaps, biases, and research priorities in the evidence for reptile conservation actions
Speight, O., Morgan, W. H., White, T. B., Sainsbury, K. A., Bouskila, A., Rotem, G., Smith, R. K., Sutherland, W. J., Watson, M. J., & Christie, A. P. (2025) · Conservation Biology · doi:10.1111/cobi.70073 · Cited by 11
Metadata
- Authors
- Nakagawa, S., & Freckleton, R. P.
- Venue
- Behavioral Ecology and Sociobiology
- Published
- 2010-09-04
- Volume
- 65
- Issue
- 1
- Pages
- 103-116
- ISSN
- 0340-5443 (ISSN-L)
- 1432-0762
- OpenAlex
- W1967520271
- Cited by
- 307
- References
- 16
- FWCI
- 7.81
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Model averaging, missing data and multiple imputation: a case study for behavioural ecology. https://app.cochat.ai/papers/10.1007/s00265-010-1044-7
- The paper
- Nakagawa, S., & Freckleton, R. P. (2011). Model averaging, missing data and multiple imputation: a case study for behavioural ecology. Behavioral Ecology and Sociobiology. https://doi.org/10.1007/s00265-010-1044-7
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.
