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Experimental Design and Data Analysis for Biologists
Abstract
An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a website that provides all data sets, questions for each chapter and links to software.
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“VIFs did not reveal collinearity problems, as indicated by the largest value being <4 (51) (event model 2.59; anticipation model 2.43; defection model 1.98; intergroup conflict type model 2.74; persistence model 2.03; reduced event model 2.72).”
From Oxytocin reactivity during intergroup conflict in wild chimpanzees (2017) · cites this paper as [51]
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Co-option of the hormone-signalling module dafachronic acid–DAF-12 in nematode evolution
Bento, G., Ogawa, A., & Sommer, R. J. (2010) · Nature · doi:10.1038/nature09164 · Cited by 214
The metabolic co-regulator PGC1α suppresses prostate cancer metastasis
Torrano, V., Valcárcel-Jiménez, L., Cortázar, A. R., Liu, X., Urosevic, J., Castillo-Martín, M., Fernández‐Ruiz, S., Morciano, G., Caro‐Maldonado, A., Guiu, M., et al. (2016) · Nature Cell Biology · doi:10.1038/ncb3357 · Cited by 220
Catering for the needs of fauna in fire management: science or just wishful thinking?
Clarke, M. F. (2008) · Wildlife Research · doi:10.1071/wr07137 · Cited by 213
“Ecologists know that the predictive ability of a model will always be constrained by the quality and quantity of the data entered into the model (‘garbage in – garbage out’) and the assumptions upon which the model is built (Quinn and Keough 2002).”
BackgroundBak, R. P. M., Nieuwland, G., & Meesters, E. H. (2005) · Coral Reefs · doi:10.1007/s00338-005-0009-1 · Cited by 211
“We use Repeated Measures ANOVA (Quinn and Keough 2002) because the quadrats were repeatedly recorded in 1973, 1983, 1992, 1997, and 2002.”
MethodErktan, A., Cécillon, L., Graf, F., Roumet, C., Legoût, C., & Rey, F. (2015) · Plant and Soil · doi:10.1007/s11104-015-2647-6 · Cited by 219
“More precisely, we ran ANCOVA models (Quinn and Keough 2002; Zuur et al. 2009) with an interaction term in which the slope of one variable (describing soil, root or plant community characteristics) was evaluated at different levels of the SOC variable.”
MethodThe diversity of post‐fire regeneration strategies in the cerrado ground layer
Pilon, N. A. L., Cava, M. G. B., Hoffmann, W. A., de Abreu, R. C. R., Fidélis, A., & Durigan, G. (2020) · Journal of Ecology · doi:10.1111/1365-2745.13456 · Cited by 214
“Asterisk represents significant differences (P ≤ 0.05) from nested 839 ANOVA.”
MethodInfluentialOxytocin reactivity during intergroup conflict in wild chimpanzees
Samuni, L., Preis, A., Mundry, R., Deschner, T., Crockford, C., & Wittig, R. M. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616812114 · Cited by 207
Density‐related effects of deer browsing on the regeneration dynamics of boreal forests
Tremblay, J., Huot, J., & Potvin, F. (2007) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2007.01290.x · Cited by 209
“…ancova, we visually checked the linearity assumption and tested for the homogeneity of slopes between the covariate and dependent variable by building preliminary models that included only deer density or the forest cover category and the interaction terms with the covariate (Quinn & Keough 2002).”
Bálint, M., Bahram, M., Eren, A. M., Faust, K., Fuhrman, J. A., Lindahl, B. D., O’Hara, R. B., Öpik, M., Sogin, M. L., Unterseher, M., et al. (2016) · FEMS Microbiology Reviews · doi:10.1093/femsre/fuw017 · Cited by 216
Maternal investment, life histories and the costs of brain growth in mammals
Barton, R. A., & Capellini, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019140108 · Cited by 208
“Continuous variables were log10-transformed to improve normality, with the exception of milk composition (percentage) data, which were squarerooted and then arcsine-transformed (45).”
MethodInferring the origin and dietary history of beef from C, N and S stable isotope ratio analysis
Schmidt, O., Quilter, J. M., Bahar, B., et al. (2004) · Food Chemistry · doi:10.1016/j.foodchem.2004.08.036 · Cited by 208
New insights into butterfly–environment relationships using partitioning methods
Heikkinen, R. K., Luoto, M., Kuussaari, M., & Pöyry, J. (2005) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2005.3212 · Cited by 207
“As a result, hierarchical partitioning provides, for each explanatory variable separately, an estimate of the independent and conjoint contribution with all other variables (for more details see Chevan & Sutherland 1991; Mac Nally 2000; Quinn & Keough 2002).”
BackgroundTesting the thermal melanism hypothesis: a macrophysiological approach
Clusella‐Trullas, S., Terblanche, J. S., Blackburn, T. M., & Chown, S. L. (2008) · Functional Ecology · doi:10.1111/j.1365-2435.2007.01377.x · Cited by 208
“Ordinary least-square regressions were used (after testing for normality of distributions, homogeneity of variance and independence of error terms; Quinn & Keough 2002) to examine relationships between arcsine square-root transformed skin reflectance (REFL) and MRAD, MAT, log 10 -transformed body…”
MethodPyšek, P., Bacher, S., Chytrý, M., et al. (2010) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2009.00514.x · Cited by 207
Targeting Transmission Pathways for Emerging Zoonotic Disease Surveillance and Control
Loh, E. H., Zambrana‐Torrelio, C., Olival, K. J., Bogich, T. L., Johnson, C. K., Mazet, J. A. K., Karesh, W. B., & Daszak, P. (2015) · Vector-Borne and Zoonotic Diseases · doi:10.1089/vbz.2013.1563 · Cited by 217
“To minimize the probability of detecting false positives ( i.e ., decrease Type I error) we selected a rejection alpha of 0.10 (Quinn and Keough 2002).”
InfluentialOFFSPRING SIZE AFFECTS THE POST-METAMORPHIC PERFORMANCE OF A COLONIAL MARINE INVERTEBRATE
Marshall, D. J., Bolton, T. F., & Keough, M. J. (2003) · Ecology · doi:10.1890/02-0311 · Cited by 207
“Two colonies were omitted to equalize the ranges of parental colony sizes (covariates) between both sites (Quinn and Keough 2002).”
BackgroundSelf-citationMarini, L., Fontana, P., Scotton, M., et al. (2007) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2007.01402.x · Cited by 205
“Further, we analysed scatterplots to check linearity of the relationships between the covariates and species richness (Quinn & Keough 2002).”
BackgroundMethodPriority areas for the conservation of Atlantic forest large mammals
Galetti, M., Giacomini, H. C., Bueno, R., Bernardo, C. S. S., Marques, R. M., Bovendorp, R. S., Steffler, C. E., Rubim, P. R. D. S., Gobbo, S. K., Donatti, C. I., et al. (2009) · Biological Conservation · doi:10.1016/j.biocon.2009.01.023 · Cited by 215
“We analysed population abundance and biomass of 31 species of medium to large-bodied mammal species at 38 Atlantic forest sites (including three islands, 26 forest fragments and six continuous forest sites) as related to forest type, level of hunting pressure and forest fragment size using ANCOVAs.”
MethodPolyunsaturated fatty acids in zooplankton: variation due to taxonomy and trophic position
Persson, J., & Vrede, T. (2006) · Freshwater Biology · doi:10.1111/j.1365-2427.2006.01540.x · Cited by 204
Lumsden, L. F., & Bennett, A. F. (2004) · Biological Conservation · doi:10.1016/j.biocon.2004.07.006 · Cited by 204
“Similarly, the body condition index (BCI) of species did not vary significantly between tree-density categories (two-factor mixed-effects ANOVAs, P > 0.321 for all species).”
MethodInfluentialVoigt, D., Schuppert, J., Dattinger, S., & Gorb, S. N. (2008) · Journal of Insect Physiology · doi:10.1016/j.jinsphys.2008.02.006 · Cited by 202
Zebrafish larvae evade predators by sensing water flow
Stewart, W. J., Cardenas, G. S., & McHenry, M. J. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.072751 · Cited by 186
“The effects of five predictor variables (uapproach, θapproach, dstrike, dresponse and tresponse) on escape probability were evaluated by logistic regression (Quinn and Keough, 2002) for a binomial distribution (‘glmfit’ function in Matlab).”
MethodStandish, R. J., Cramer, V. A., Wild, S., et al. (2007) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2006.01262.x · Cited by 202
Dantas, D. V., Barletta, M., & da Costa, M. F. (2011) · Environmental Science and Pollution Research · doi:10.1007/s11356-011-0579-0 · Cited by 202
“If significant differences among season, area, species and/or size factors were detected, a post hoc Bonferroni test was applied to identify the sources of the variation (Quinn and Keough 2002).”
MethodHabitat structural complexity mediates food web dynamics in a freshwater macrophyte community
Warfe, D. M., & Barmuta, L. A. (2006) · Oecologia · doi:10.1007/s00442-006-0505-1 · Cited by 202
Phase shifts and the role of herbivory in the resilience of coral reefs
Ledlie, M. H., Graham, N. A. J., Bythell, J. C., Wilson, S. K., Jennings, S., Polunin, N. V. C., & Hardcastle, J. (2007) · Coral Reefs · doi:10.1007/s00338-007-0230-1 · Cited by 200
“rately (Quinn and Keough 2002).”
BackgroundDistribution of Microcystins in a Lake Foodweb: No Evidence for Biomagnification
Ibelings, B. W., Bruning, K., Jonge, J. D., et al. (2005) · Microbial Ecology · doi:10.1007/s00248-004-0014-x · Cited by 201
“05) was used to test for the relation between the presence and absence of liver damage (as the binary response variable) and microcystin contents of fish liver (as the continuous predictor) [43].”
MethodLusseau, D. (2005) · Marine Ecology Progress Series · doi:10.3354/meps295265 · Cited by 200
“A discriminant analysis (Quinn & Keough 2002) was carried out to assess the effect that each of these oceanographic parameters had on the presence of dolphins in the fjord.”
MethodHartfiel, N., Havenhand, J. N., Khalsa, S. B. S., Clarke, G., & Krayer, A. (2010) · Scandinavian Journal of Work Environment & Health · doi:10.5271/sjweh.2916 · Cited by 201
“Prior to analysis, all data were checked for homogeneity of variances and normality using Q-Q plots and box plots (46).”
MethodCartwright, N. D. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199574131.001.0001 · Cited by 204
Lange, K. M., Liess, A., Piggott, J. J., et al. (2010) · Freshwater Biology · doi:10.1111/j.1365-2427.2010.02492.x · Cited by 199
Are alien fish a reliable indicator of river health?
Kennard, M. J., Arthington, A. H., Pusey, B. J., et al. (2004) · Freshwater Biology · doi:10.1111/j.1365-2427.2004.01293.x · Cited by 199
“There were no significant relationships between the alien species relative abundance and biomass and (Quinn & Keough, 2002). the species richness, total numerical density and total biomass density of native fish observed at the study sites (Fig.”
InfluentialMale satin bowerbird problem-solving ability predicts mating success
Keagy, J. C., Savard, J., & Borgia, G. (2009) · Animal Behaviour · doi:10.1016/j.anbehav.2009.07.011 · Cited by 198
“Statistical tests of our a priori directional hypothesis that problem-solving ability positively predicts mating success are one tailed (Quinn & Keough 2002).”
Bücking, H., & Shachar‐Hill, Y. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01274.x · Cited by 198
Th2 Cytokines Are Associated with Reduced Worm Burdens in a Human Intestinal Helminth Infection
Turner, J. D., Faulkner, H., Kamgno, J., Cormont, F., Snick, J. V., Else, K. J., Grencis, R. K., Behnke, J. M., Boussinesq, M., & Bradley, J. E. (2003) · The Journal of Infectious Diseases · doi:10.1086/379370 · Cited by 196
“Arbitrary values (X-axis) represent individuals’ loadings to component 1, reflective of Th2 activity as assessed by principal-components analysis (a standard technique for reducing multivariate data down to its main independent features [20]).”
MethodEffective monitoring of freshwater fish
Radinger, J., Britton, J. R., Carlson, S. M., Magurran, A. E., Alcaraz‐Hernández, J. D., Almodóvar, A., Benejam, L., Fernández‐Delgado, C., Nicola, G. G., Oliva-Paterna, F. J., et al. (2019) · Fish and Fisheries · doi:10.1111/faf.12373 · Cited by 210
“Although often difficult to implement in large-scale ecological studies, the basic principles of experimental design (e.g. Quinn & Keough, 2002) are generally also applicable to monitoring (Conroy & Carroll, 2009).”
BackgroundPeri, P. L., Ladd, B., Pepper, D. A., Bonser, S. P., Laffan, S. W., & Amelung, W. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2011.02494.x · Cited by 196
“For interpreting the PCA results, Quinn & Keough (2002) suggest that independant variables with factor loading scores >0.7 are strongly correlated to the relevant PC, whereas factor loading scores between 0.4 and 0.6 indicate a moderate correlation, and scores <0.4 a weak or absent correlation.”
MethodInfluentialAntlers honestly advertise sperm production and quality
Malo, A. F., Roldán, E. R. S., Garde, J. J., et al. (2005) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2004.2933 · Cited by 196
“The aim of principal component analysis is to reduce many correlated variables to a small number of new derived variables that adequately summarize the original information (Quinn & Keough 2002).”
BackgroundComeau, S., Edmunds, P. J., Spindel, N. B., & Carpenter, R. C. (2013) · Limnology and Oceanography · doi:10.4319/lo.2013.58.1.0388 · Cited by 210
Interpreting diel activity patterns from acoustic telemetry: the need for controls
Payne, N. L., Gillanders, B. M., Webber, D., et al. (2010) · Marine Ecology Progress Series · doi:10.3354/meps08864 · Cited by 195
“Mean values per hourly bin were treated as individual data points, and as we found no evidence of non-linearity, we considered Pearson’s coefficient appropriate (Quinn & Keough 2002).”
BackgroundMethodTrait interactions help explain plant invasion success in the German flora
Küster, E. C., Kühn, I., Bruelheide, H., & Klotz, S. (2008) · Journal of Ecology · doi:10.1111/j.1365-2745.2008.01406.x · Cited by 193
“We regarded all sensible twofold interactions (Quinn & Keough 2002) and we pre-selected those interactions with sufficient combinations (see Table S2 for full model).”
MethodGlobal Patterns and Drivers of Avian Extinctions at the Species and Subspecies Level
Szabo, J., Khwaja, N., Garnett, S., & Butchart, S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047080 · Cited by 172
“In such an approach, the potential accumulation of decision errors is high and the adjustment of significance levels and/or p values is recommended [33].”
BackgroundWagenhoff, A., Townsend, C. R., Phillips, N. R., & Matthaei, C. D. (2011) · Freshwater Biology · doi:10.1111/j.1365-2427.2011.02619.x · Cited by 194
Personality-dependent dispersal in the invasive mosquitofish: group composition matters
Côté, J., Fogarty, S., Brodin, T., Weinersmith, K. L., & Sih, A. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.1892 · Cited by 192
Ecosystem services—current challenges and opportunities for ecological research
Birkhofer, K., Diehl, E., Andersson, J., Ekroos, J., Früh-Müller, A., Machnikowski, F., Mader, V. L., Nilsson, L. A., Sasaki, K., Rundlöf, M., et al. (2015) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2014.00087 · Cited by 209
“(vectors; ES1, ES2, ES3, ES4, ES5, ES6) in the ordination graph for sites of two different land-use types (different colors). in which relationships between multiple services are approximately linear (see also Quinn and Keough, 2002).”
BackgroundFlow regulation reduces native plant cover and facilitates exotic invasion in riparian wetlands
Catford, J. A., Downes, B. J., Gippel, C. J., et al. (2011) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2010.01945.x · Cited by 192
“Even when explanatory variables were centred or standardized, parameter tolerances were too low ( 0Æ1) to interpret their individual effects in full models (Quinn & Keough 2002).”
BackgroundPiggott, J. J., Lange, K., Townsend, C. R., & Matthaei, C. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0049873 · Cited by 192
“Therefore, we followed Quinn and Keough’s [39] recommendation that individual main effects should be interpreted only where the effect size of the interaction is smaller than the size of the corresponding main effects, which was the case for the majority of response variables.”
BackgroundMethodInfluentialWind‐throw mortality in the southern boreal forest: effects of species, diameter and stand age
Rich, R., Frelich, L. E., & Reich, P. B. (2007) · Journal of Ecology · doi:10.1111/j.1365-2745.2007.01301.x · Cited by 192
“We evaluated candidate models starting from the fully saturated model and considered all interactions using likelihood ratio tests (LRT) and Akaike’s information criterion (AIC) to remove terms (Agresti 1996; Peng et al. 2002; Quinn & Keogh 2002).”
MethodWagner, T., & Congleton, J. L. (2004) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/f04-050 · Cited by 192
“Prior to performing factor analysis, we identified and removed any outliers (values greater than or equal to 1.5 times the interquartile range; Quinn and Keough 2002) and tested for independence of response variables by Bartlett’s test of sphericity (the null hypothesis of no correlation between variables was rejected…”
MethodInfluentialAltermatt, F., Fronhofer, E. A., Garnier, A., Giometto, A., Hammes, F., Klečka, J., Legrand, D., Mächler, E., Massie, T. M., Pennekamp, F., et al. (2014) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12312 · Cited by 184
“Replication, randomization, blocking and independence are key, as with any good experiment (e.g. Quinn & Keough 2002).”
BackgroundWolf, I. D., & Wohlfart, T. (2014) · Landscape and Urban Planning · doi:10.1016/j.landurbplan.2014.06.006 · Cited by 210
Brom, C., Preuss, M., & Klement, D. (2011) · Computers & Education · doi:10.1016/j.compedu.2011.04.007 · Cited by 190
“Two-sample test for equality of proportions ( “ prop.test ” in statistical software “ R ” ; And (cid:2) el, 2007; Quinn & Keough, 2002) was used for comparison of percentages of students expressing positive attitude towards the seminar or the game.”
MethodShy trout grow faster: exploring links between personality and fitness-related traits in the wild
Adriaenssens, B., & Johnsson, J. I. (2010) · Behavioral Ecology · doi:10.1093/beheco/arq185 · Cited by 189
Schäfer, R. B., & Piggott, J. J. (2018) · Global Change Biology · doi:10.1111/gcb.14073 · Cited by 190
Wagenhoff, A., Townsend, C. R., & Matthaei, C. D. (2012) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2012.02162.x · Cited by 195
The responses of small mammals and lizards to post-fire succession and rainfall in arid Australia
Letnic, M., Dickman, C. R., Tischler, M., Tamayo, B., & Beh, C.-L. (2004) · Journal of Arid Environments · doi:10.1016/j.jaridenv.2004.01.014 · Cited by 188
“data set (Quinn and Keough, 2002).”
Effective limb length and the scaling of locomotor cost in terrestrial animals
Pontzer, H. (2007) · Journal of Experimental Biology · doi:10.1242/jeb.002246 · Cited by 194
“With path analysis, it is possible to distinguish the direct, independent effects of two related independent variables (LE and body mass) on a dependent variable (COT), while also calculating the indirect effect of covariance between independent variables (Quinn and Keough, 2002).”
BackgroundPlant species influence microbial diversity and carbon allocation in the rhizosphere
Ladygina, N., & Hedlund, K. (2009) · Soil Biology and Biochemistry · doi:10.1016/j.soilbio.2009.10.009 · Cited by 189
“A one-way RANOVA was used to test the significance of PCA scores obtained for microbial communities (Quinn and Keough, 2004).”
MethodEckstein, R. L., & Donath, T. W. (2005) · Journal of Ecology · doi:10.1111/j.1365-2745.2005.01015.x · Cited by 188
“In the , P -values were derived using Pillai’s trace, which is more robust than other statistics (Quinn & Keough 2002).”
MethodZhang, J. B., Zhu, T., Cai, Z., Qin, S., & Müller, C. (2011) · European Journal of Soil Science · doi:10.1111/j.1365-2389.2011.01410.x · Cited by 193
“Correlation values (r) above 0.8 indicate pairs or groups of parameters that tend to be strongly constrained together (Quinn & Keough, 2002).”
BackgroundInfluentialDoes the endometrial cavity have a molecular microbial signature?
Winters, A. D., Romero, R. J., Gervasi, M. T., Gomez‐Lopez, N., Tran, M. R., Garcia‐Flores, V., Pacora, P., Jung, E., Hassan, S. S., Hsu, C., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-46173-0 · Cited by 195
Extreme long-distance seed dispersal via sheep
Manzano, P., & Malo, J. E. (2006) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2006)004[0244:elsdvs]2.0.co;2 · Cited by 187
BIOMASS RATHER THAN GROWTH RATE DETERMINES VARIATION IN NET PRIMARY PRODUCTION BY GIANT KELP
Reed, D. C., Rassweiler, A., & Arkema, K. K. (2008) · Ecology · doi:10.1890/07-1106.1 · Cited by 186
“We tested for collinearity among the independent variables by evaluating tolerance variables (Quinn and Keough 2002) and condition indices (Belsley et al. 1980) and found that it was not significant.”
MethodNiche partitioning of closely related symbiotic dinoflagellates
Sampayo, E. M., Franceschinis, L., Hoegh‐Guldberg, O., et al. (2007) · Molecular Ecology · doi:10.1111/j.1365-294x.2007.03403.x · Cited by 187
“A multidimensional scaling (MDS) plot was constructed from the presence/absence matrix using Bray-Curtis dissimilarity, where similarity was only assigning to a joined presence and not a joined absence of bands (Quinn & Keough 2002).”
MethodStanden, E. M., & LAUDER, G. V. (2005) · Journal of Experimental Biology · doi:10.1242/jeb.01706 · Cited by 187
“) to test the entire model (Quinn and Keough, 2002; Zar, 1999) (Tables·2, 3).”
BackgroundMethodThe relative importance of landscape properties for woodland birds in agricultural environments
Radford, J. Q., & Bennett, A. F. (2007) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2007.01327.x · Cited by 194
Jenkins, K. M., & Boulton, A. J. (2003) · Ecology · doi:10.1890/02-0326 · Cited by 185
Johnson, P. T. J., Olden, J. D., Solomon, C. T., & Zanden, M. J. V. (2008) · Oecologia · doi:10.1007/s00442-008-1176-x · Cited by 186
“We analyzed the effects of Bellamya, Orconectes and their interactions on the final abundance and wet mass of each native snail species using multivariate ANOVA (MANOVA) (log10-transformed ? 1 values; Quinn and Keough 2002). When evaluating the combined effects of two or more species, it is important to consider wheth…”
MethodSurfing the biomass size spectrum: some remarks on history, theory, and application
Sprules, W. G., & Barth, L. E. (2015) · Canadian Journal of Fisheries and Aquatic Sciences · doi:10.1139/cjfas-2015-0115 · Cited by 185
“Formal statistical identification of outliers or those observations with an undue influence on a fitted regression model using, for instance, Cook’s Distance (Quinn and Keough 2003) is recommended.”
MethodNilsson, R. E., Ross, T., & Bowman, J. P. (2011) · International Journal of Food Microbiology · doi:10.1016/j.ijfoodmicro.2011.07.012 · Cited by 184
“Principal Component Analysis (PCA, based on a correlation matrix; Quinn and Keough, 2002) was performed to determine which of the qualitative traits (origin, serotype and environmental persistence) and time/temperature conditions had the greatest influence on biofilm production.”
MethodEffects of dam operation and land use on stream channel morphology and riparian vegetation
Gordon, E., & Meentemeyer, R. K. (2006) · Geomorphology · doi:10.1016/j.geomorph.2006.06.001 · Cited by 183
“Covariates were standardized (standard score) when assessed as an interaction to avoid intercorrelation with their lower order terms (Quinn and Keough, 2002).”
BackgroundMethodInfluentialTHE INVASIBILITY OF MARINE ALGAL ASSEMBLAGES: ROLE OF FUNCTIONAL DIVERSITY AND IDENTITY
Arenas, F., Sánchez, I., Hawkins, S. J., & Jenkins, S. R. (2006) · Ecology · doi:10.1890/0012-9658(2006)87[2851:tiomaa]2.0.co;2 · Cited by 185
“A quasi-Poisson regression model was used in the F. serratus recruits model due to underlying distribution of the data and the overdispersion observed (Quinn and Keough 2002).”
MethodClarke, P. J., Latz, P. K., & Albrecht, D. E. (2005) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2005.tb02361.x · Cited by 184
Riesenberg, S., & Maricic, T. (2018) · Nature Communications · doi:10.1038/s41467-018-04609-7 · Cited by 174
Effects of resource availability and climate on the diversity of wood‐decaying fungi
Bässler, C., Müller, J. C., Dziock, F., & Brandl, R. (2010) · Journal of Ecology · doi:10.1111/j.1365-2745.2010.01669.x · Cited by 191
APPARENT COMPETITION WITH AN EXOTIC PLANT REDUCES NATIVE PLANT ESTABLISHMENT
Orrock, J. L., Witter, M. S., & Reichman, O. J. (2008) · Ecology · doi:10.1890/07-0223.1 · Cited by 182
“To examine the relationship between distance to B. nigra and captures of consumers, we used least-squares regression, after applying a square-root transformation to improve normality of capture data (Quinn and Keough 2002).”
MethodEnumeration of bacteriophage particles
Anderson, B., Rashid, M. H., Carter, C., et al. (2011) · Bacteriophage · doi:10.4161/bact.1.2.15456 · Cited by 182
Mata, C., Hervás, I., Herranz, J., et al. (2007) · Journal of Environmental Management · doi:10.1016/j.jenvman.2007.03.014 · Cited by 182
“The UI was compared between passage types using a Kruskal–Wallis test since the assumptions for an ANOVAR were not met (Quinn and Keough, 2002).”
MethodPhenological variation in xylem and phloem formation in Fagus sylvatica from two contrasting sites
Prislan, P., Gričar, J., de Luis, M., et al. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2013.06.001 · Cited by 182
Re-evaluating the link between brain size and behavioural ecology in primates
Powell, L. E., Isler, K., & Barton, R. A. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.1765 · Cited by 180
“Variance inflation factors (VIFs) (65) were less than 1.”
BackgroundMagnago, L. F. S., Rocha, M. F., Meyer, L., Martins, S. V., & Meira‐Neto, J. A. A. (2015) · Biodiversity and Conservation · doi:10.1007/s10531-015-0961-1 · Cited by 194
“We verified that there was no collinearity between the predictor variables (variance inflation factor\10; Quinn and Keough 2002).”
MethodMetabarcoding of benthic eukaryote communities predicts the ecological condition of estuaries
Chariton, A. A., Stephenson, S., Morgan, M. J., Steven, A., Colloff, M. J., Court, L. N., & Hardy, C. M. (2015) · Environmental Pollution · doi:10.1016/j.envpol.2015.03.047 · Cited by 188
A 250-year index of first flowering dates and its response to temperature changes
Amano, T., SMITHERS, R. J., Sparks, T. H., & Sutherland, W. J. (2010) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2010.0291 · Cited by 185
“Thus, a linear regression with weighted least squares was applied (Quinn & Keough 2002 ).”
MethodAre fundamental niches larger than the realized? Testing a 50-year-old prediction by Hutchinson
Soberón, J. M., & Arroyo-Peña, B. (2017) · PLoS ONE · doi:10.1371/journal.pone.0175138 · Cited by 191
Strecker, A. L., Cobb, T. P., & Vinebrooke, R. D. (2004) · Limnology and Oceanography · doi:10.4319/lo.2004.49.4.1182 · Cited by 181
“Nevertheless, power analysis (Quinn and Keough 2002) revealed that our level of replication generated a probability of 72% for statistically detecting a warming-induced increase in total algal biomass of 40%.”
BackgroundMetabolic Scaling in Animals: Methods, Empirical Results, and Theoretical Explanations
White, C. R., & Kearney, M. (2014) · Comprehensive physiology · doi:10.1002/cphy.c110049 · Cited by 195
Olofsson, J., Hulme, P. E., Oksanen, L., & Suominen, O. (2004) · Oikos · doi:10.1111/j.0030-1299.2004.13224.x · Cited by 177
“…ANOVA instead of an MANOVA as this combination of methods copes better with the large number of zeros, which is typical of species abundance data and post hoc comparisons of groups are more straightforward under a univariate ANOVA framework than under a MANOVA framwork (Quinn and Keough 2002).”
MethodEcological correlates of vulnerability to fragmentation in Neotropical bats
Meyer, C. F. J., Fründ, J., Pineda-Lizano, W., & Kalko, E. K. V. (2007) · Journal of Applied Ecology · doi:10.1111/j.1365-2664.2007.01389.x · Cited by 179
OFFSPRING SIZE VARIATION WITHIN BROODS AS A BET‐HEDGING STRATEGY IN UNPREDICTABLE ENVIRONMENTS
Marshall, D. J., Bonduriansky, R., & Bussière, L. F. (2008) · Ecology · doi:10.1890/07-0267.1 · Cited by 180
Killen, S. S., Marras, S., Ryan, M. R., Domenici, P., & McKenzie, D. J. (2011) · Functional Ecology · doi:10.1111/j.1365-2435.2011.01920.x · Cited by 178
The hydrodynamics of eel swimming II. Effect of swimming speed
Tytell, E. D. (2004) · Journal of Experimental Biology · doi:10.1242/jeb.01139 · Cited by 181
“A priori planned comparisons were conducted to compare certain measurement types using F tests (Quinn and Keough, 2002).”
BackgroundInfluentialVeech, J. A., & Crist, T. O. (2007) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2007.00315.x · Cited by 179
“The effects of the predictor variables can be assessed by comparing these coefficients and their P - values (Quinn & Keough, 2002).”
BackgroundMethodSchieck, J., & Song, S. J. (2006) · Canadian Journal of Forest Research · doi:10.1139/x06-017 · Cited by 179
“Analyses were conducted using canonical correspondence analyses (CCA; Quinn and Keough 2002) to graphically show how bird community composition differed among forest types.”
MethodMarshall, K., Joint, I. R., Callow, M. E., et al. (2006) · Microbial Ecology · doi:10.1007/s00248-006-9060-x · Cited by 179
“The degree of settlement was calculated by using the critical values after Tukey’s B test (for zoospore and zoospore-adjusted) and t test (for Bpreferential^), whether 1 , 2 , 3 , or 4 greater than the test statistics, respectively [27].”
MethodFuranones as potential anti-bacterial coatings on biomaterials
Baveja, J. K., Willcox, M. D. P., Hume, E. B. H., Kumar, N., Odell, R. A., & Poole-Warren, L. A. (2004) · Biomaterials · doi:10.1016/j.biomaterials.2004.02.051 · Cited by 177
Metabolomics: the chemistry between ecology and genetics
Macel, M., van Dam, N. M., & Keurentjes, J. J. B. (2010) · Molecular Ecology Resources · doi:10.1111/j.1755-0998.2010.02854.x · Cited by 181
Oliver, M. K., Telfer, S., & Piertney, S. B. (2008) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2008.1525 · Cited by 178
Tree diversity promotes insect herbivory in subtropical forests of south‐east China
Schuldt, A., Baruffol, M., Böhnke, M., Bruelheide, H., Härdtle, W., Lang, A. C., Nadrowski, K., von Oheimb, G., Voigt, W., Zhou, H., et al. (2010) · Journal of Ecology · doi:10.1111/j.1365-2745.2010.01659.x · Cited by 177
“To our knowledge, our study is the first to test explicitly the effects of tree diversity on this important plant–insect interaction for a very species-rich subtropical forest ecosystem.”
BackgroundThe Eyes Have It: Regulatory and Structural Changes Both Underlie Cichlid Visual Pigment Diversity
Hofmann, C. M., O’Quin, K. E., Marshall, N. J., Cronin, T. W., D, O. S. C., & Carleton, K. L. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000266 · Cited by 175
“However, because multivariate methods such as hierarchical clustering are sensitive to factors with relatively larger values [59], we standardized the expression values of opsins expressed within single and double cones separately.”
MethodDuque-Lazo, J., van Gils, H., Groen, T., & Navarro-Cerrillo, R. (2016) · Ecological Modelling · doi:10.1016/j.ecolmodel.2015.09.019 · Cited by 171
Metadata
- Authors
- Quinn, G. P., & Keough, M. J.
- Affiliations
- Monash University (AU)
- The University of Melbourne (AU)
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2002-03-21
- OpenAlex
- W1489838709
- Cited by
- 10,674
- References
- 0
- Citations by year
- 2026: 200 · 2025: 218 · 2024: 239 · 2023: 250 · 2022: 275 · 2021: 394 · 2020: 448 · 2019: 430 · 2018: 446 · 2017: 473 · 2016: 528 · 2015: 625 · 2014: 763 · 2013: 719 · 2012: 675
- FWCI
- 50.52
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Keywords
- experimental design, statistical analysis, biology, hypothesis testing, Bayesian analysis, linear models, generalized linear models, logistic regression, analysis of variance, repeated measures, log-linear models, multivariate analysis, classification, ordination, exploratory data analysis, assumption checking
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