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Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36

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Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36 (English)

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Stephen J Walters

1

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language of work or name

English

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publication date

25 May 2004

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published in

Health and Quality of Life Outcomes

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volume

2

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issue

1

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page(s)

26

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cites work

The MOS 36-ltem Short-Form Health Survey (SF-36)

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PubMed Central

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Robustness and power of analysis of covariance applied to ordinal scaled data as arising in randomized controlled trials.

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Group vs individual approaches to understanding the clinical significance of differences or changes in quality of life

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PubMed Central

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28 September 2017

Costs and effectiveness of community postnatal support workers: randomised controlled trial

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28 September 2017

How should cost data in pragmatic randomised trials be analysed?

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Robustness and power of analysis of covariance applied to data distorted from normality by floor effects: homogeneous regression slopes

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28 September 2017

Sample size calculations for ordered categorical data

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Alternative estimation procedures for Pr(X less than Y) in categorized data

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Robustness of the two independent samples t-test when applied to ordinal scaled data

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Validating the SF-36 health survey questionnaire: new outcome measure for primary care

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Calculation of power and sample size with bounded outcome scores

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Choice of test for comparing two groups, with particular application to skewed outcomes.

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Design and analysis of trials with quality of life as an outcome: a practical guide.

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Approximating the power of Wilcoxon's rank-sum test against shift alternatives.

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Sample sizes for randomized trials measuring quality of life in cancer patients.

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Regression with bounded outcome score: evaluation of power by bootstrap and simulation in a chronic myelogenous leukaemia clinical trial

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retrieved

12 December 2020

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Identifiers

DOI

10.1186/1477-7525-2-26

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Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1052085

Dimensions Publication ID

1042233538

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OpenCitations bibliographic resource ID

1052085

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1 reference

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1052085

PubMed publication ID

15161494

1 reference

stated in

Consolidated OpenCitations Corpus – April 2017

OpenCitations bibliographic resource ID

1052085

ResearchGate publication ID

8543959

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(Q24792814)

Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36

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