Statistics for Life Sciences

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Statistical Techniques for Neuroscientists

Young K. Truong, Mechelle M. Lewis
August 12, 2016

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary...

Data Analysis for the Life Sciences with R

Rafael A. Irizarry, Michael I. Love
August 10, 2016

This book covers several of the statistical concepts and data analytic skills needed to succeed in data-driven life science research. The authors proceed from relatively basic concepts related to computed p-values to advanced topics related to analyzing highthroughput data. They include the R code...

Using the R Commander: A Point-and-Click Interface for R

John Fox
August 05, 2016

This book provides a general introduction to the R Commander graphical user interface (GUI) to R for readers who are unfamiliar with R. It is suitable for use as a supplementary text in a basic or intermediate-level statistics course. It is not intended to replace a basic or other statistics text...

Statistical Aspects of Community Health and Nutrition

A. K. Nigam
December 30, 2015

Witten in an easy-to-understand form, this book covers research methods, maternal and infant survival, nutritional status, nutritional deficiency disorders, gender disparity and adolescent reproductive sexual health. The book also describes statistical methods that are promising but have hardly...

Introductory Fisheries Analyses with R

Derek H. Ogle
November 24, 2015

A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate...

Introductory Statistics for the Health Sciences

Lise DeShea, Larry E. Toothaker
March 23, 2015

Introductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets...

Introduction to Statistical Data Analysis for the Life Sciences, Second Edition

Claus Thorn Ekstrom, Helle Sørensen
November 06, 2014

A Hands-On Approach to Teaching Introductory Statistics Expanded with over 100 more pages, Introduction to Statistical Data Analysis for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory statistics to students in...

Introduction to Ecological Sampling

Bryan F.J. Manly, Jorge A. Navarro Alberto
October 20, 2014

An Easy-to-Understand Treatment of Ecological Sampling Methods and Data Analysis Including only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling...

Statistical Methods in Biology: Design and Analysis of Experiments and Regression

S.J. Welham, S.A. Gezan, S.J. Clark, A. Mead
August 22, 2014

Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas...

Stated Preference Methods Using R

Hideo Aizaki, Tomoaki Nakatani, Kazuo Sato
August 15, 2014

Stated Preference Methods Using R explains how to use stated preference (SP) methods, which are a family of survey methods, to measure people’s preferences based on decision making in hypothetical choice situations. Along with giving introductory explanations of the methods, the book collates...

Analysis of Capture-Recapture Data

Rachel S. McCrea, Byron J. T. Morgan
August 01, 2014

An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands. Once the animals are encountered again, researchers can study different forms of capture-recapture data to estimate features, such as the...

Robust Response Surfaces, Regression, and Positive Data Analyses

Rabindra Nath Das
May 21, 2014

Although widely used in science and technology for experimental data generating, modeling, and optimization, the response surface methodology (RSM) has many limitations. Showing how robust response surface methodology (RRSM) can overcome these limitations, Robust Response Surfaces, Regression, and...