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Generalized Additive Models: An Introduction with R
Abstract
The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs), and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained, providing the necessary background in linear models, linear mixed models, and generalized linear models (GLMs), before presenting a balanced treatment of the theory and applications of GAMs and related models. The author bases his approach on a framework of penalized regression splines, and while firmly focused on the practical aspects of GAMs, discussions include fairly full explanations of the theory underlying the methods. Use of R software helps explain the theory and illustrates the practical application of the methodology. Each chapter contains an extensive set of exercises, with solutions in an appendix or in the book’s R data package gamair, to enable use as a course text or for self-study.
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“evidence suggesting that MBIs, compared to active controls, were more effective in enhancing state and trait attentional skills [91], executive functioning [92], and emotional clarity [93].”
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Items 1,001–1,064 of 1,064
Schomaker, M., Gsponer, T., Estill, J. A. M., Fox, M. P., & Boulle, A. (2013) · Statistics in Medicine · doi:10.1002/sim.5912 · Cited by 38
Bino, G., Kingsford, R. T., Grant, T. R., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-23461-9 · Cited by 36
Linguistic Synchrony Predicts the Immediate and Lasting Impact of Text-Based Emotional Support
Doré, B., & Morris, R. R. (2018) · Psychological Science · doi:10.1177/0956797618779971 · Cited by 36
Trophic structure modulates community rescue following acidification
Bell, G., Fugère, V., Barrett, R. D. H., et al. (2019) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2019.0856 · Cited by 36
Meese, E. N., & Lowe, C. G. (2020) · Movement Ecology · doi:10.1186/s40462-020-0191-3 · Cited by 37
To pool or not to pool: Can we ignore cross-trial variability in FMRI?
Chen, G., Padmala, S., Chen, Y., Taylor, P. A., Cox, R. W., & Pessoa, L. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117496 · Cited by 37
Cui, E., Crainiceanu, C. M., & Leroux, A. (2020) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2020.1853550 · Cited by 38
Temporal patterns of roe deer traffic accidents: Effects of season, daytime and lunar phase
Steiner, W., Schöll, E. M., Leisch, F., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249082 · Cited by 36
Latent Gaussian Model Boosting
Sigrist, F. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2022.3168152 · Cited by 38
Polyethylene microplastic toxicity to the terrestrial snail Cantareus aspersus: size matters
Colpaert, R., Petit-dit-Grézériat, L., Louzon, M., de Vaufleury, A., & Gimbert, F. (2021) · Environmental Science and Pollution Research · doi:10.1007/s11356-021-15824-z · Cited by 40
Inferring SARS-CoV-2 RNA shedding into wastewater relative to the time of infection
Cavany, S., Bivins, A. W., Wu, Z., et al. (2022) · Epidemiology and Infection · doi:10.1017/s0950268821002752 · Cited by 36
Barnes, A. E., Davies, J. G., Martay, B., Boersch‐Supan, P. H., Harris, S., Noble, D. G., Pearce‐Higgins, J. W., & Robinson, R. A. (2022) · Nature Ecology & Evolution · doi:10.1038/s41559-022-01927-4 · Cited by 47
Hagen, Ø., Solberg, C., & Johnston, I. A. (2008) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf801215b · Cited by 36
Phillips, A. J., Ciannelli, L., Brodeur, R. D., Pearcy, W. G., & Childers, J. (2014) · ICES Journal of Marine Science · doi:10.1093/icesjms/fst238 · Cited by 36
Subset ARMA selection via the adaptive Lasso
Chan, K., & Chen, K. (2011) · Statistics and Its Interface · doi:10.4310/sii.2011.v4.n2.a14 · Cited by 36
Shrub shading moderates the effects of weather on arthropod activity in arctic tundra
Asmus, A. L., Chmura, H. E., Høye, T. T., et al. (2018) · Ecological Entomology · doi:10.1111/een.12644 · Cited by 36
Groenman, A. P., Schweren, L. J. S., Weeda, W., Luman, M., Noordermeer, S. D. S., Heslenfeld, D. J., Franke, B., Faraone, S. V., Rommelse, N., Hartman, C. A., et al. (2019) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-019-01283-y · Cited by 36
Muhling, B. A., Brill, R., Lamkin, J. T., Roffer, M. A., Lee, S.-K., Liu, Y., & Muller-Karger, F. (2017) · ICES Journal of Marine Science · doi:10.1093/icesjms/fsw215 · Cited by 36
Boehme, L., Baker, A., Fedak, M. A., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155817 · Cited by 35
Yin, A. S., Tseng, P.-H., Rajangam, S., Lebedev, M., & Nicolelis, M. A. L. (2018) · Scientific Reports · doi:10.1038/s41598-018-27472-4 · Cited by 34
Wallis, C. I. B., Tiede, Y., Beck, E. H., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-03488-1 · Cited by 35
Integrated species distribution models reveal spatiotemporal patterns of human–wildlife conflict
Fidino, M., Lehrer, E. W., Kay, C. A. M., et al. (2022) · Ecological Applications · doi:10.1002/eap.2647 · Cited by 35
Espinasse, B., Sturbois, A., Basedow, S. L., Hélaouët, P., Johns, D. G., Newton, J., & Trueman, C. N. (2022) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.986082 · Cited by 41
Plummer, J. W., Willmering, M. M., Cleveland, Z. I., et al. (2022) · Magnetic Resonance in Medicine · doi:10.1002/mrm.29501 · Cited by 35
Georgan, W. C., Archibald, L. M. D., & Hogan, T. P. (2023) · Journal of Speech Language and Hearing Research · doi:10.1044/2022_jslhr-21-00636 · Cited by 39
Effects of age on non-communicable disease risk factors among Nepalese adults
Sapkota, B. P., Baral, K. P., Rehfuess, E. A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281028 · Cited by 35
Population demographic history and evolutionary rescue: Influence of a bottleneck event
Olazcuaga, L., Lincke, B., Delacey, S., Durkee, L. F., Melbourne, B. A., & Hufbauer, R. A. (2023) · Evolutionary Applications · doi:10.1111/eva.13581 · Cited by 34
Warming may offset impact of precipitation changes on riverine nitrogen loading
Zhao, G., Merder, J., Ballard, T. C., & Michalak, A. M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2220616120 · Cited by 36
Trait dimensions of abiotic stress tolerance in woody plants of the Northern Hemisphere
Pavanetto, N., Carmona, C. P., Laanisto, L., Niinemets, Ü., & Puglielli, G. (2023) · Global Ecology and Biogeography · doi:10.1111/geb.13788 · Cited by 35
Yun, H., Ciais, P., Zhu, Q., Chen, D., Zohner, C. M., Tang, J., Qu, Y., Zhou, H., Schimel, J. P., Zhu, P., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2314036121 · Cited by 36
Palliative Care Initiated in the Emergency Department
Grudzen, C. R., Siman, N., Cuthel, A. M., Adeyemi, O. J., Yamarik, R. L. L., Goldfeld, K. S., PRIM-ER Investigators, Abella, B. S., Bellolio, F., Bourenane, S. S., et al. (2025) · JAMA · doi:10.1001/jama.2024.23696 · Cited by 37
Revisiting the soil carbon saturation concept to inform a risk index in European agricultural soils
Breure, T., Rosa, D. D., Panagos, P., Cotrufo, M. F., Jones, A., & Lugato, E. (2025) · Nature Communications · doi:10.1038/s41467-025-57355-y · Cited by 46
Pérez‐Jorge, S., Pereira, T., Corne, C., Wijtten, Z., Omar, M., Katello, J., Kinyua, M., Oró, D., & Louzao, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0133265 · Cited by 39
Schmera, D., Baur, B., & Erős, T. (2012) · Hydrobiologia · doi:10.1007/s10750-012-1107-z · Cited by 41
Hendrix, P., Bolger, P., & Baayen, R. H. (2016) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/a0040332 · Cited by 36
Twenty-eight years of vowels: Tracking phonetic variation through young to middle age adulthood
Gahl, S., & Baayen, R. H. (2019) · Journal of Phonetics · doi:10.1016/j.wocn.2019.02.001 · Cited by 35
Modeling excess deaths after a natural disaster with application to Hurricane Maria
Rivera, R., & Rolke, W. (2019) · Statistics in Medicine · doi:10.1002/sim.8314 · Cited by 35
The expansion wave of an invasive predator leaves declining waterbird populations behind
Brzeziński, M., Żmihorski, M., Nieoczym, M., et al. (2019) · Diversity and Distributions · doi:10.1111/ddi.13003 · Cited by 35
Zanin, L. (2020) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2020.100272 · Cited by 35
Rachmansah, A., Norris, D., & Gibbs, J. P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229689 · Cited by 36
Rosofsky, A., Fabian, M. P., de Cuba, S. E., Sandel, M. T., Coleman, S. M., Levy, J. I., Coull, B. A., Hart, J. E., & Zanobetti, A. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17041444 · Cited by 37
Glowing, glowing, gone? Monitoring long‐term trends in glow‐worm numbers in south‐east England
Gardiner, T., & Didham, R. K. (2020) · Insect Conservation and Diversity · doi:10.1111/icad.12407 · Cited by 34
Rakthai, S., Fu, P., Fan, Z., Gaire, N. P., Pumijumnong, N., Eiadthong, W., & Tangmitcharoen, S. (2020) · Forests · doi:10.3390/f11030361 · Cited by 35
Elias, S. P., Gardner, A. M., Maasch, K. A., et al. (2020) · Journal of Medical Entomology · doi:10.1093/jme/tjaa180 · Cited by 35
Functional shifts in estuarine zooplankton in response to climate variability
Jansson, A., Klais, R., Grinienė, E., et al. (2020) · Ecology and Evolution · doi:10.1002/ece3.6793 · Cited by 35
Liu, S., Chan, E. Y. Y., Goggins, W. B., & Huang, Z. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197326 · Cited by 35
McLean, B. S., & Guralnick, R. (2020) · Ecology · doi:10.1002/ecy.3258 · Cited by 36
The relative abundance of wheat Rubisco activase isoforms is post-transcriptionally regulated
Perdomo, J. A., Büchner, P., & Carmo‐Silva, E. (2021) · Photosynthesis Research · doi:10.1007/s11120-021-00830-6 · Cited by 35
Chen, K., Yang, H. B., Ma, Z. W., Bi, J., & Huang, L. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.06.004 · Cited by 35
Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic
Batzdorfer, V., Steinmetz, H., Biella, M., & Alizadeh, M. (2022) · International Journal of Data Science and Analytics · doi:10.1007/s41060-021-00298-6 · Cited by 38
Hahlbeck, N., Scales, K. L., Dewar, H., Maxwell, S. M., Bograd, S. J., & Hazen, E. L. (2017) · Fisheries Research · doi:10.1016/j.fishres.2017.03.011 · Cited by 34
Benelli, S., & Bartoli, M. (2021) · Limnology and Oceanography Letters · doi:10.1002/lol2.10207 · Cited by 31
Mariën, J., Borremans, B., Verhaeren, C., Kirkpatrick, L., Gryseels, S., Goüy de Bellocq, J., Günther, S., Sabuni, C. A., Massawe, A. W., Reijniers, J., et al. (2020) · Journal of Animal Ecology · doi:10.1111/1365-2656.13107 · Cited by 27
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Fjell, A. M., Sørensen, Ø., Wang, Y., Amlien, I. K., Baaré, W. F. C., Bartrés-Faz, D., Bertram, L., Boraxbekk, C.-J., Brandmaier, A. M., Demuth, I., et al. (2023) · Nature Human Behaviour · doi:10.1038/s41562-023-01707-5 · Cited by 29
Stochastic gradient boosting frequency-severity model of insurance claims
Su, X., & Bai, M. (2020) · PLOS ONE · doi:10.1371/journal.pone.0238000 · Cited by 24
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Quinn, C. A., Burns, P., Hakkenberg, C. R., Salas, L., Pasch, B., Goetz, S. J., & Clark, M. L. (2023) · Frontiers in Remote Sensing · doi:10.3389/frsen.2023.1156837 · Cited by 15
Cox, R. C., Wright, K. P., Axelsson, J., & Balter, L. J. T. (2024) · Psychiatry Research · doi:10.1016/j.psychres.2024.116006 · Cited by 13
Improving habitat models by incorporating pelagic measurements from coastal ocean observatories
Palamara, L., Manderson, J., Kohut, J., Oliver, M., Gray, S., & Goff, J. (2012) · Marine Ecology Progress Series · doi:10.3354/meps09496 · Cited by 12
Wang, P., Yan, J., Shi, Q., Yang, F., Li, X., Shen, Y., Liu, H., Xie, K., & Zhao, L. (2023) · Emergency Medicine International · doi:10.1155/2023/6676033 · Cited by 11
Staudt, Y., & Wagner, J. (2022) · Risks · doi:10.3390/risks10100187 · Cited by 7
Porębski, A. (2023) · Research Handbook on Law and Technology · doi:10.4337/9781803921327.00037 · Cited by 4
Zainal, N. H., & Newman, M. G. (2024) · European Psychiatry · doi:10.1192/j.eurpsy.2024.1750 · Cited by 3
Segar, M. W., Lambeth, K. D., Postalian, A., Coulter, S., Gilge, J., Razvi, N., Saeed, M., Paisley, R. D., Pandey, A., & Razavi, M. (2026) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztag018 · Cited by 2
Baz, M. (2024) · Mathematics · doi:10.3390/math12213320 · Cited by 1
Metadata
- Authors
- Wood, S. N.
- Corresponding author
- Wood, Simon N.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2017-05-18
- OpenAlex
- W3112717819
- Cited by
- 13,852
- References
- 0
- Citations by year
- 2026: 1378 · 2025: 1355 · 2024: 1085 · 2023: 934 · 2022: 976 · 2021: 1373 · 2020: 1048 · 2019: 787 · 2018: 603 · 2017: 556
- FWCI
- 208.09
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- generalized additive models, penalized spline regression, linear mixed models, generalized linear models, linear models, R software, nonparametric regression
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