Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Introduction to Biostatistics

Gustafsson, Johan LU orcid and Nilsson, Markus LU (2022) 2. p.1-16
Abstract

Knowledge in statistics is essential to draw solid conclusions from data. This chapter covers the basic concepts needed to navigate in the world of biostatistics, with the aim that the reader should know what to search for when encountering new situations. First, the chapter introduces basic concepts such as scales of measurement, relation between sample and population, and features of stochastic variables such as the expected value and variance. Second, the chapter introduces various metrics for sample characterization, such as the mean and median for the central tendency, and sample variance, median absolute deviation, and interquartile range for characterizing variation. This also includes methods for visualization. Third, the... (More)

Knowledge in statistics is essential to draw solid conclusions from data. This chapter covers the basic concepts needed to navigate in the world of biostatistics, with the aim that the reader should know what to search for when encountering new situations. First, the chapter introduces basic concepts such as scales of measurement, relation between sample and population, and features of stochastic variables such as the expected value and variance. Second, the chapter introduces various metrics for sample characterization, such as the mean and median for the central tendency, and sample variance, median absolute deviation, and interquartile range for characterizing variation. This also includes methods for visualization. Third, the chapter introduces the basics of hypothesis testing: construction of a null hypothesis, definition of a test statistic, and formulation of a test for significance. Both parametric and non-parametric hypothesis tests are explained, as well as tests for correlation. Multivariate regression and the F-test are briefly covered, as well as analysis of survival data. Finally, the chapter covers the perils of hypothesis testing including issues such as statistical power, type I and II errors, and the multiple-comparison problem.

(Less)
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Handbook of Nuclear Medicine and Molecular Imaging for Physicists : Modelling, Dosimetry and Radiation Protection, Volume II - Modelling, Dosimetry and Radiation Protection, Volume II
volume
2
pages
16 pages
publisher
CRC Press
external identifiers
  • scopus:85140675621
ISBN
9781138593299
9780429952227
DOI
10.1201/9780429489549-1
language
English
LU publication?
yes
id
d4b3a475-9586-41c1-b69f-972504571e30
date added to LUP
2022-12-19 14:13:57
date last changed
2025-02-27 02:22:19
@inbook{d4b3a475-9586-41c1-b69f-972504571e30,
  abstract     = {{<p>Knowledge in statistics is essential to draw solid conclusions from data. This chapter covers the basic concepts needed to navigate in the world of biostatistics, with the aim that the reader should know what to search for when encountering new situations. First, the chapter introduces basic concepts such as scales of measurement, relation between sample and population, and features of stochastic variables such as the expected value and variance. Second, the chapter introduces various metrics for sample characterization, such as the mean and median for the central tendency, and sample variance, median absolute deviation, and interquartile range for characterizing variation. This also includes methods for visualization. Third, the chapter introduces the basics of hypothesis testing: construction of a null hypothesis, definition of a test statistic, and formulation of a test for significance. Both parametric and non-parametric hypothesis tests are explained, as well as tests for correlation. Multivariate regression and the F-test are briefly covered, as well as analysis of survival data. Finally, the chapter covers the perils of hypothesis testing including issues such as statistical power, type I and II errors, and the multiple-comparison problem.</p>}},
  author       = {{Gustafsson, Johan and Nilsson, Markus}},
  booktitle    = {{Handbook of Nuclear Medicine and Molecular Imaging for Physicists : Modelling, Dosimetry and Radiation Protection, Volume II}},
  isbn         = {{9781138593299}},
  language     = {{eng}},
  pages        = {{1--16}},
  publisher    = {{CRC Press}},
  title        = {{Introduction to Biostatistics}},
  url          = {{http://dx.doi.org/10.1201/9780429489549-1}},
  doi          = {{10.1201/9780429489549-1}},
  volume       = {{2}},
  year         = {{2022}},
}