Experimental Design and Data Analysis for Biologists

By G. Quinn, M. Keough. 2002

9,450 citations recorded by the source corpus.

Applying statistical concepts to biological scenarios, this established textbook continues to be the go-to tool for advanced undergraduates and postgraduates studying biostatistics or experimental design in biology-related areas. Chapters cover linear models, common regression and ANOVA methods, mixed effects models, model selection, and multivariate methods used by biologists, requiring only introductory statistics and basic mathematics. Demystifying statistical concepts with clear, jargon-free explanations, this new edition takes a holistic approach to help students understand the relationship between statistics and experimental design. Each chapter contains further-reading recommendations, and worked examples from today's biological literature. All examples reflect modern settings, methodology and equipment, representing a wide range of biological research areas. These are supported by hands-on online resources including real-world data sets, full R code to help repeat analyses for all worked examples, and additional review questions and exercises for each chapter.

Subfields: Molecular Biology

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Citations in the corpus

Diel vertical migration of decapod larvae in the Portuguese coastal upwelling ecosystem: implications for offshore transport (2008, methodology): “The Bonferroni correction for multiple comparisons was used in all cases (Quinn & Keough 2002).”
Reconceptualizing synergism and antagonism among multiple stressors (2015, background): “We emphasize the need for reconsideration by the ecological community of the interpretation of synergism and antagonism in situations where individual stressor effects oppose each other or where cumulative effects are reversed and enhanced.”
Biotic and abiotic factors influencing attachment strength of blue mussels Mytilus edulis in suspended culture (2008, methodology): “This multiple regression analysis was also performed with another probability threshold 122 Lachance et al.: Factors influencing attachment strength of blue mussels (0.20 instead of 0.05) to include a second factor in the model (Quinn & Keough 2002).”
Near-future levels of ocean acidification do not affect sperm motility and fertilization kinetics in the oyster Crassostrea gigas (2009, methodology): “Before statistical analysis all percentage data were arc-sin transformed to meet the 25 assumption of normality, which was subsequently checked by inspection of box-plots (Quinn and Keough, 2002).”
Adaptive maternal and paternal effects: gamete plasticity in response to parental stress (2014, methodology): “We used standard model reduction procedures to remove non-significant terms that were of no biological interest (Quinn & Keough 2002).”
Subsidy from the detrital food web, but not microhabitat complexity, affects the role of generalist predators in an aboveground herbivore food web (2008, methodology): “We used Pillai’s criterion to test for significance of main effects and interactions as it is most robust against violations of homoscedasticity and normality (Quinn and Keough 2002).”
Determinants of the biogeographical distribution of butterflies in boreal regions (2006, methodology): “To improve the normality of the predictors (Quinn & Keough, 2002), the land-cover variables were log10transformed, except for the cover of coniferous forest, which was normally distributed.”
Amphibian species richness across environmental gradients (2007, methodology): “In order to identify important potential causal variables having independent effects on species richness we employed hierarchical partitioning (Mac Nally 2002, Quinn and Keough 2006).”
Spatial dynamics of small mammals in central Australian desert habitats: the role of drought refugia (2011, methodology): “Tests for each species were subjected to sequential Bonferroni correction to reduce the chance of committing type I errors (Quinn and Keough 2002).”
Relative Humidity Effects on the Life History of Hermetia illucens (Diptera: Stratiomyidae) (2012, methodology): “Alpha values were adjusted using the DunnÐSidak procedure to correct for type I error as a result of multiple comparisons (Quinn and Keough 2002).”
Successful invaders co-opt pollinators of native flora and accumulate insect pollinators with increasing residence time. (2011, positive): “Using these standardized values, collinearity was checked by calcu- lating tolerance values (Quinn and Keough 2002:128).”