Understanding statistical error: A primer for biologists

Research output: Book/ReportBook

Abstract

This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Assuming no prior knowledge of statistics, Understanding Statistical Error covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence.

This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty.

Understanding Statistical Error: A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.
Original languageEnglish
PublisherWiley-Blackwell
Number of pages224
ISBN (Print)978-1-119-10691-3
Publication statusPublished - 2016

Fingerprint

Uncertainty
Error Analysis
Confidence interval
Biophysics
Biostatistics
Drug Discovery
Error Propagation
Life sciences
Molecular Biology
Computational Biology
Ecology
Prior Knowledge
Linear regression
Measurement Error
Correlation coefficient
Chemistry
Biology
Statistical Analysis
Confidence
Data analysis

Cite this

@book{50deaa52c7834167a27604804368d632,
title = "Understanding statistical error: A primer for biologists",
abstract = "This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Assuming no prior knowledge of statistics, Understanding Statistical Error covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence.This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty.Understanding Statistical Error: A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.",
author = "Marek Gierlinski",
year = "2016",
language = "English",
isbn = "978-1-119-10691-3",
publisher = "Wiley-Blackwell",

}

Understanding statistical error : A primer for biologists. / Gierlinski, Marek.

Wiley-Blackwell, 2016. 224 p.

Research output: Book/ReportBook

TY - BOOK

T1 - Understanding statistical error

T2 - A primer for biologists

AU - Gierlinski, Marek

PY - 2016

Y1 - 2016

N2 - This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Assuming no prior knowledge of statistics, Understanding Statistical Error covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence.This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty.Understanding Statistical Error: A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.

AB - This accessible introductory textbook provides a straightforward, practical explanation of how statistical analysis and error measurements should be applied in biological research. Assuming no prior knowledge of statistics, Understanding Statistical Error covers the central topics needed for efficient data analysis, ranging from probability distributions, statistical estimators, confidence intervals, error propagation and uncertainties in linear regression, to advice on how to use error bars in graphs properly. Using simple mathematics, all these topics are carefully explained and illustrated with figures and worked examples. The emphasis throughout is on visual representation and on helping the reader to approach the analysis of experimental data with confidence.This useful guide explains how to evaluate uncertainties of key parameters, such as the mean, median, proportion and correlation coefficient. Crucially, the reader will also learn why confidence intervals are important and how they compare against other measures of uncertainty.Understanding Statistical Error: A Primer for Biologists can be used both by students and researchers to deepen their knowledge and find practical formulae to carry out error analysis calculations. It is a valuable guide for students, experimental biologists and professional researchers in biology, biostatistics, computational biology, cell and molecular biology, ecology, biological chemistry, drug discovery, biophysics, as well as wider subjects within life sciences and any field where error analysis is required.

UR - https://www.wiley.com/en-gb/Understanding+Statistical+Error:+A+Primer+for+Biologists-p-9781119106913

M3 - Book

SN - 978-1-119-10691-3

BT - Understanding statistical error

PB - Wiley-Blackwell

ER -