Fundamental Statistical Principles for the Neurobiologist

A Survival Guide

Nonfiction, Science & Nature, Mathematics, Statistics, Science, Biological Sciences
Cover of the book Fundamental Statistical Principles for the Neurobiologist by Stephen W. Scheff, Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Stephen W. Scheff ISBN: 9780128050514
Publisher: Elsevier Science Publication: February 11, 2016
Imprint: Academic Press Language: English
Author: Stephen W. Scheff
ISBN: 9780128050514
Publisher: Elsevier Science
Publication: February 11, 2016
Imprint: Academic Press
Language: English

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature.

  • An introductory guide to statistics aimed specifically at the neuroscience audience
  • Contains numerous examples with actual data that is used in the analysis
  • Gives the investigators a starting pointing for evaluating data in easy-to-understand language
  • Explains in detail many different statistical tests commonly used by neuroscientists
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Fundamental Statistical Principles for Neurobiologists introduces readers to basic experimental design and statistical thinking in a comprehensive, relevant manner. This book is an introductory statistics book that covers fundamental principles written by a neuroscientist who understands the plight of the neuroscience graduate student and the senior investigator. It summarizes the fundamental concepts associated with statistical analysis that are useful for the neuroscientist, and provides understanding of a particular test in language that is more understandable to this specific audience, with the overall purpose of explaining which statistical technique should be used in which situation. Different types of data are discussed such as how to formulate a research hypothesis, the primary types of statistical errors and statistical power, followed by how to actually graph data and what kinds of mistakes to avoid. Chapters discuss variance, standard deviation, standard error, mean, confidence intervals, correlation, regression, parametric vs. nonparametric statistical tests, ANOVA, and post hoc analyses. Finally, there is a discussion on how to deal with data points that appear to be "outliers" and what to do when there is missing data, an issue that has not sufficiently been covered in literature.

More books from Elsevier Science

Cover of the book Aminopyridines and Similarly Acting Drugs: Effects on Nerves, Muscles and Synapses by Stephen W. Scheff
Cover of the book Conjugate Heat and Mass Transfer in Heat Mass Exchanger Ducts by Stephen W. Scheff
Cover of the book The Fly River, Papua New Guinea by Stephen W. Scheff
Cover of the book Human Sleep and Cognition by Stephen W. Scheff
Cover of the book Neural Circuit Development and Function in the Healthy and Diseased Brain by Stephen W. Scheff
Cover of the book Digital Forensics Trial Graphics by Stephen W. Scheff
Cover of the book Client-Side Attacks and Defense by Stephen W. Scheff
Cover of the book Executing Windows Command Line Investigations by Stephen W. Scheff
Cover of the book Nature's Machines by Stephen W. Scheff
Cover of the book Configuring Juniper Networks NetScreen and SSG Firewalls by Stephen W. Scheff
Cover of the book Placebo and Pain by Stephen W. Scheff
Cover of the book Sorting and Recycling Endosomes by Stephen W. Scheff
Cover of the book Bonding Theory for Metals and Alloys by Stephen W. Scheff
Cover of the book Advances in Pharmacology by Stephen W. Scheff
Cover of the book Semantic Web for the Working Ontologist by Stephen W. Scheff
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy