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Books on the topic 'Linear mixed-effects models'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 April 2022

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1

Gałecki, Andrzej, and Tomasz Burzykowski. Linear Mixed-Effects Models Using R. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-3900-4.

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2

Linear and nonlinear models: Fixed effects, random effects, and mixed models. Walter de Gruyter, 2006.

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3

Extending linear models with R: Generalized linear, mixed effects and nonparametric regression models. Chapman & Hall/CRC, 2006.

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4

Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. Taylor & Francis, 2016.

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5

Tomasz, Burzykowski, and SpringerLink (Online service), eds. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. Springer New York, 2013.

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6

Rady, El-Houssainy Abdelbar. Testing fixed effects in mixed linear models. 1986.

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7

Funatogawa, Ikuko. Longitudinal Data Analysis: Autoregressive Linear Mixed Effects Models. Springer, 2019.

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8

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition. Taylor & Francis Group, 2016.

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9

Burzykowski, Tomasz, and Andrzej Galecki. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. Springer, 2013.

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10

Burzykowski, Tomasz, and Andrzej Gałecki. Linear Mixed-Effects Models Using R: A Step-by-Step Approach. Springer, 2015.

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11

Gallo, Jose Manuel. Exact tests for fixed and random effects in unbalanced linear mixed models. 1987.

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12

Faraway, Julian J. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science). Chapman & Hall/CRC, 2005.

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13

Weisner, Thomas S. Culture, Context, and the Integration of Qualitative and Quantitative Methods in the Study of Human Development. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190879228.003.0004.

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The cultural community a child grows up in is arguably the most important influence in a child’s development. Culture and context should be incorporated into every research program in human development in our field. Ecocultural theory links structural and environmental conditions to the cultural learning environments of children and the everyday routines and activities that shape behavior and the minds of children. To do this, we require strong mixed methods, designs, samples, and analytical approaches. The world certainly is not linear, additive, and decontextualized, although for analytical

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14

James, Gareth. Sparseness and functional data analysis. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.11.

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This article considers two functional data analysis settings where sparsity becomes important: the first involves only measurements at a relatively sparse set of points and the second relates to variable selection in a functional case. It begins with a discussion of two data sets that fall into the ‘sparsely observed’ category, the ‘growth’ data and the ‘nephropathy’ data, both of which are used to illustrate alternative approaches for analysing sparse functional data. It then examines different classes of methods that can be applied to functional data, such as basis functions, mixed-effects m

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15

Touchon, Justin C. Applied Statistics with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198869979.001.0001.

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Whether at the undergraduate, graduate, or post-graduate level, Applied Statistics with R: A Practical Guide for the Life Sciences teaches readers to properly analyze data in an efficient, accessible, plainspoken, frank, and occasionally humorous manner. Readers will come away with the knowledge of which analyses they should use and when they should use them, an important skill in an age when the statistical analyses used in the life-sciences are becoming increasingly advanced. This book uses the statistical language R, which is the choice of ecologists worldwide and is rapidly becoming the ‘g

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