The Resource Understanding Biostatistics, (electronic resource)

Understanding Biostatistics, (electronic resource)

Label
Understanding Biostatistics
Title
Understanding Biostatistics
Title variation
Statistics in Practice
Creator
Contributor
Author
Subject
Genre
Language
  • eng
  • eng
Summary
Understanding Biostatistics looks at the fundamentals of biostatistics, using elementary statistics to explore the nature of statistical tests. This book is intended to complement first-year statistics and biostatistics textbooks. The main focus here is on ideas, rather than on methodological details. Basic concepts are illustrated with representations from history, followed by technical discussions on what different statistical methods really mean. Graphics are used extensively throughout the book in order to introduce mathematical formulae in an accessible way. Key features
Member of
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
Källén, Anders
Dewey number
  • 570.1/5195
  • 570.15195
Language note
English
LC call number
QH323.5.K35 2011
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Kèallâen, Anders
Series statement
Statistics in Practice
http://library.link/vocab/subjectName
  • Biometry
  • Biometry
  • Biostatistics
  • Models, Statistical
  • Biometry
  • Models, Theoretical
  • Statistics as Topic
  • Epidemiologic Methods
  • Investigative Techniques
  • Health Care Evaluation Mechanisms
  • Public Health
  • Analytical, Diagnostic and Therapeutic Techniques and Equipment
  • Quality of Health Care
  • Environment and Public Health
  • Health Care Quality, Access, and Evaluation
  • Health Care
  • Models, Statistical
  • Biostatistics
  • Biology
  • Health & Biological Sciences
  • Biology - General
Label
Understanding Biostatistics, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
  • Understanding Biostatistics; Contents; Preface; 1 Statistics and medical science; 1.1 Introduction; 1.2 On the nature of science; 1.3 How the scientific method uses statistics; 1.4 Finding an outcome variable to assess your hypothesis; 1.5 How we draw medical conclusions from statistical results; 1.6 A few words about probabilities; 1.7 The need for honesty: the multiplicity issue; 1.8 Prespecification and p-value history; 1.9 Adaptive designs: controlling the risks in an experiment; 1.10 The elusive concept of probability; 1.11 Comments and further reading; References
  • 2 Observational studies and the need for clinical trials2.1 Introduction; 2.2 Investigations of medical interventions and risk factors; 2.3 Observational studies and confounders; 2.4 The experimental study; 2.5 Population risks and individual risks; 2.6 Confounders, Simpson's paradox and stratification; 2.7 On incidence and prevalence in epidemiology; 2.8 Comments and further reading; References; 3 Study design and the bias issue; 3.1 Introduction; 3.2 What bias is all about; 3.3 The need for a representative sample: on selection bias; 3.4 Group comparability and randomization
  • 3.5 Information bias in a cohort study3.6 The study, or placebo, effect; 3.7 The curse of missing values; 3.8 Approaches to data analysis: avoiding self-inflicted bias; 3.9 On meta-analysis and publication bias; 3.10 Comments and further reading; References; 4 The anatomy of a statistical test; 4.1 Introduction; 4.2 Statistical tests, medical diagnosis and Roman law; 4.3 The risks with medical diagnosis; 4.3.1 Medical diagnosis based on a single test; 4.3.2 Bayes' theorem and the use and misuse of screening tests; 4.4 The law: a non-quantitative analogue; 4.5 Risks in statistical testing
  • 4.5.1 Does tonsillectomy increase the risk of Hodgkin's lymphoma?4.5.2 General discussion about statistical tests; 4.6 Making statements about a binomial parameter; 4.6.1 The frequentist approach; 4.6.2 The Bayesian approach; 4.7 The bell-shaped error distribution; 4.8 Comments and further reading; References; 4.A Appendix: The evolution of the central limit theorem; 5 Learning about parameters, and some notes on planning; 5.1 Introduction; 5.2 Test statistics described by parameters; 5.3 How we describe our knowledge about a parameter from an experiment
  • 6.3 Describing the sample: descriptive statistics
Dimensions
unknown
Extent
1 online resource (392 p.)
Form of item
electronic
Isbn
9781283405423
Media category
computer
Media type code
  • c
Specific material designation
remote
System control number
  • (CKB)3460000000000088
  • (EBL)699338
  • (OCoLC)711780380
  • (SSID)ssj0000550610
  • (PQKBManifestationID)11355726
  • (PQKBTitleCode)TC0000550610
  • (PQKBWorkID)10509691
  • (PQKB)10272546
  • (EXLCZ)993460000000000088
Label
Understanding Biostatistics, (electronic resource)
Publication
Note
Description based upon print version of record
Carrier category
online resource
Carrier category code
  • cr
Content category
text
Content type code
  • txt
Contents
  • Understanding Biostatistics; Contents; Preface; 1 Statistics and medical science; 1.1 Introduction; 1.2 On the nature of science; 1.3 How the scientific method uses statistics; 1.4 Finding an outcome variable to assess your hypothesis; 1.5 How we draw medical conclusions from statistical results; 1.6 A few words about probabilities; 1.7 The need for honesty: the multiplicity issue; 1.8 Prespecification and p-value history; 1.9 Adaptive designs: controlling the risks in an experiment; 1.10 The elusive concept of probability; 1.11 Comments and further reading; References
  • 2 Observational studies and the need for clinical trials2.1 Introduction; 2.2 Investigations of medical interventions and risk factors; 2.3 Observational studies and confounders; 2.4 The experimental study; 2.5 Population risks and individual risks; 2.6 Confounders, Simpson's paradox and stratification; 2.7 On incidence and prevalence in epidemiology; 2.8 Comments and further reading; References; 3 Study design and the bias issue; 3.1 Introduction; 3.2 What bias is all about; 3.3 The need for a representative sample: on selection bias; 3.4 Group comparability and randomization
  • 3.5 Information bias in a cohort study3.6 The study, or placebo, effect; 3.7 The curse of missing values; 3.8 Approaches to data analysis: avoiding self-inflicted bias; 3.9 On meta-analysis and publication bias; 3.10 Comments and further reading; References; 4 The anatomy of a statistical test; 4.1 Introduction; 4.2 Statistical tests, medical diagnosis and Roman law; 4.3 The risks with medical diagnosis; 4.3.1 Medical diagnosis based on a single test; 4.3.2 Bayes' theorem and the use and misuse of screening tests; 4.4 The law: a non-quantitative analogue; 4.5 Risks in statistical testing
  • 4.5.1 Does tonsillectomy increase the risk of Hodgkin's lymphoma?4.5.2 General discussion about statistical tests; 4.6 Making statements about a binomial parameter; 4.6.1 The frequentist approach; 4.6.2 The Bayesian approach; 4.7 The bell-shaped error distribution; 4.8 Comments and further reading; References; 4.A Appendix: The evolution of the central limit theorem; 5 Learning about parameters, and some notes on planning; 5.1 Introduction; 5.2 Test statistics described by parameters; 5.3 How we describe our knowledge about a parameter from an experiment
  • 6.3 Describing the sample: descriptive statistics
Dimensions
unknown
Extent
1 online resource (392 p.)
Form of item
electronic
Isbn
9781283405423
Media category
computer
Media type code
  • c
Specific material designation
remote
System control number
  • (CKB)3460000000000088
  • (EBL)699338
  • (OCoLC)711780380
  • (SSID)ssj0000550610
  • (PQKBManifestationID)11355726
  • (PQKBTitleCode)TC0000550610
  • (PQKBWorkID)10509691
  • (PQKB)10272546
  • (EXLCZ)993460000000000088

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