Statistical Analysis References

Online Statistics Education: An Interactive Multimedia Course of StudyThis open and free introductory statistics textbook covers topics typical for a collegelevel nonmath majors statistics course. Topics include distributions, probability, research design, estimation, hypothesis testing, power and effect size, comparison of means, regression, analysis of variance (ANOVA), transformations, chi square, and nonparametric (distributionfree) tests). It is available as a pdf, online, or as an epub. An Instructor's Manual and PowerPoint slides are also available upon request from the project leader at Rice University.

Introductory StatisticsA free and open introductory statistics textbook for nonmath majors. "They have sought to present only the core concepts and use a wideranging set of exercises for each concept to drive comprehension. [...] a smaller and less intimidating textbook that trades some extended and unnecessary topics for a betterfocused presentation of the central material." It covers descriptive statistics, probability, distributions, discrete and continuous random variables, estimation, hypothesis testing, comparison of means, correlation and regression, chi square, and Ftests.

Introductory Statistics with Randomization and Simulation"We hope readers will take away three ideas from this book in addition to forming a foundation of statistical thinking and methods. (1) Statistics is an applied field with a wide range of practical applications. (2) You don't have to be a math guru to learn from interesting, real data. (3) Data are messy, and statistical tools are imperfect. However, when you understand the strengths and weaknesses of these tools, you can use them to learn interesting things about the world." This free and open introductory statistics textbook for nonmath majors discusses data and data collection, foundations for inference with randomization and simulations (then leading into standard parametric statistics), inference with categorical and numerical data, and linear, multiple logistic regression. An introduction to probability is included as an appendix.

Statistics for Research byCall Number: QA 276 .D66 2004ISBN: 047126735XPublication Date: 2004"Features the most commonly used statistical techniques for the analysis of research data. [...] emphasis is placed on how to select the proper statistical procedure and how to interpret results."

Statistics LibreTexts BookshelfCurates multiple openly available statistics textbooks.

From Numbers to Words byCall Number: HA 29 .M83165 2002ISBN: 080133280XPublication Date: 2001"An invaluable reference tool that guides readers through drafting the results of quantitative experiments." This book gives social science examples but should be of use to learners and researchers in many scientific fields in learning how to report the results of statistical tests.

Model Selection and Multimodel Inference byISBN: 0387224564Publication Date: 2007"The philosophy of modelbased data analysis and strategy for the analysis of empirical data. The book introduces information theoretic approaches and focuses critical attention on a priori modeling and the selection of a good approximating model that best represents the inference supported by the data. [...] The text has been written for biologists and statisticians using models for making inferences from empirical data."

Using Multivariate Statistics byCall Number: QA 278 .T3 2013ISBN: 9780205849574Publication Date: 2012"Provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higherlevel mathematics." Covers SPSS and SAS code; also available on Reserves at Bizzell Memorial Library.

Encyclopedia of Statistical Sciences"Reference tool covering statistics, probability theory, biostatistics, quality control, and economics with emphasis in applications of statistical methods in sociology, engineering, computer science, biomedicine, psychology, survey methodology, and other client disciplines." A good source for topics less often covered in the general textbooks.

The Concise Encyclopedia of Statistics"More than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include crossreferences as well as the key citations. The back matter includes a timeline of statistical inventions." Another good resource for topics not included in the general texts listed previously.
Experimental Design for Social Sciences

Essentials of Statistics for the Social and Behavioral Sciences byCall Number: HA 29 .C655 2004ISBN: 0471220310Publication Date: 2003"Guides you to a better understanding of basic concepts of statistical methods. Numerous practical tips are presented for selecting appropriate statistical procedures."

Understanding and Applying Research Design byCall Number: eBookISBN: 1118605268Publication Date: 20130103

Interpretive Approaches to Research Design byCall Number: eBookISBN: 020385490xPublication Date: 20111215

Experimental Design for Ecology and Evolutionary Biology

Analysing Ecological Data byISBN: 1281044679Publication Date: 2007"The first part of the book gives a largely nonmathematical introduction to data exploration, univariate methods (including GAM and mixed modelling techniques), multivariate analysis, time series analysis (e.g. common trends) and spatial statistics. The second part provides 17 case studies, mainly written together with biologists who attended courses given by the first authors. [...] The case studies can be used as a template for your own data analysis; just try to find a case study that matches your own ecological questions and data structure, and use this as starting point for you own analysis."

A Primer of Ecological Statistics byCall Number: QH 541.15 .S72 G68 2013ISBN: 9781605350646Publication Date: 2012"Explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. "

The Ecological Detective byCall Number: Oklahoma Biological Station Stacks QH 541.15 .M3 H54 1997ISBN: 0691034966Publication Date: 1997"The Ecological Detective makes liberal use of computer programming for the generation of hypotheses, exploration of data, and the comparison of different models. The authors' attitude is one of exploration, both statistical and graphical."

Handbook of MetaAnalysis in Ecology and Evolution byCall Number: QH 541.15 .S72 H36 2013ISBN: 0691137293Publication Date: 2013"The handbook identifies both the advantages of using metaanalysis for research synthesis and the potential pitfalls and limitations of metaanalysis (including when it should not be used). Different approaches to carrying out a metaanalysis are described, and include moment and leastsquare, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets."
Experimental Design for Biological Sciences

Intuitive Biostatistics byCall Number: R 853 .S7 M68 2018ISBN: 9780190643560Publication Date: 2017"Takes a nontechnical, nonquantitative approach to statistics and emphasizes interpretation of statistical results rather than the computational strategies for generating statistical data."

The Analysis of Biological Data byCall Number: QH 323.5 .W48 2009 TEXTBOOKSISBN: 9780981519401Publication Date: 2008The authors "motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments." Available on reserves.

Experimental Design for Biologists byCall Number: QH 323.5 .G565 2014ISBN: 9781621820413Publication Date: 2014"This handbook explains how to establish the framework for an experimental project, how to set up all of the components of an experimental system, design experiments within that system, determine and use the correct set of controls, and formulate models to test the veracity and resiliency of the data." A philosophical guide to experimental design, rather than a statistically focused approach.

Experimental Design and Data Analysis for Biologists byCall Number: QH 323.5 .Q85 2002ISBN: 0521009766Publication Date: 2002"For students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. [...] The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, loglinear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included."

Springer ProtocolsProvides access to full text reproducible laboratory protocols in the life and biomedical sciences.
Repeated Measures Designs

Mixed Effects Models and Extensions in Ecology with R byISBN: 1282036130Publication Date: 20090101"Real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely nonmathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research."

Mixed Effects Models in S and SPlus byISBN: 1280145811Publication Date: 2000"This book provides an overview of the theory and application of linear and nonlinear mixedeffects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data." It focuses in the NLME library for S and Splus, but can be used in R, and the principles applied to other mixedeffect model packages such as lme4. The first few chapters are useful as an introduction to the topic and the remainder of the book will be of more interest to those with advanced modeling needs or interest in the mathematics of the modeling.