Variance Control Procedures

Heidi L. Weiss; Jianrong Wu; Katrina Epnere; O. Dale Williams

doi:10.1007/978-3-319-52636-2_218

Variance Control Procedures

Heidi L. Weiss, Jianrong Wu, Katrina Epnere, O. Dale Williams

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter covers the concepts of variance and sources of variation for clinical trial data. Common metrics to quantify the extent of variability in relation to the mean are introduced as are clinical trial design techniques and statistical analysis methods to control and reduce this variation. The uses of variance as a data quality assessment tool in large-scale, long-term multicenter clinical trials are highlighted.

Original language	English
Title of host publication	Principles and Practice of Clinical Trials
Pages	833-841
Number of pages	9
ISBN (Electronic)	9783319526362
DOIs	https://doi.org/10.1007/978-3-319-52636-2_218
State	Published - Jan 1 2022

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2022. All rights are reserved.

Keywords

Analysis of covariance
Clinical trial
Coefficient of variation
Crossover design
Data quality assessment
Matched design
Measurement errors
Multiple regression analysis
Power
Random error
Repeated measures design
Sample size
Systematic errors
Technical error
Variance

ASJC Scopus subject areas

General Medicine
General Mathematics

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10.1007/978-3-319-52636-2_218

Cite this

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KW - Crossover design

KW - Data quality assessment

KW - Matched design

KW - Measurement errors

KW - Multiple regression analysis

KW - Power

KW - Random error

KW - Repeated measures design

KW - Sample size

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Variance Control Procedures

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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