Type‐II generalized family‐wise error rate formulas with application to sample size determination
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Summary
Very general power formulas that can be used to compute the sample size for single‐step and step‐wise procedures are obtained and implemented in the R package rPowerSampleSize, making them directly available to end users.
- Type
- article
- Published
- 2016-07-20
- Cited by
- 14
- References
- 45
- OpenAlex
- https://openalex.org/W26914402
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3566903
Keywords
Morphogenesis, Transporter, Fetus, Amino acid transporter, Cell biology
References
- Immunological efficacy of a prime-boost pneumococcal vaccination in HIV-infected adults
- Theory of multivariate statistics
- Computation of Multivariate Normal and t Probabilities
- Multiple testing problems in pharmaceutical statistics
- Step-up procedure controlling generalized family-wise error rate
- Sample sizes for trials involving multiple correlated must‐win comparisons
- A Step-Up Multiple Test Procedure
- A new endpoint definition improved clinical relevance and statistical power in a vaccine trial.
- Power and sample size when multiple endpoints are considered
- On a multiple endpoints testing problem
- STEPUP PROCEDURES CONTROLLING GENERALIZED FWER AND GENERALIZED FDR
- On power and sample size computation for multiple testing procedures
- On the Behrens–Fisher problem: A globally convergent algorithm and a finite-sample study of the Wald, LR and LM tests
- A solution to the multivariate behrens-fisher problem
- Efficacy endpoint selection and multiplicity adjustment methods in clinical trials with inherent multiple endpoint issues
- Bivariate Bonferroni inequalities
- Sample Size Determination in Superiority Clinical Trials with Multiple Co-Primary Correlated Endpoints
- Power and Sample Size Determination in Clinical Trials with Multiple Primary Continuous Correlated Endpoints
- The Multivariate Inclusion-Exclusion Formula and Order Statistics from Dependent Variates
- Multivariate Behrens-Fisher problem with missing data
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- Citicoline for treating people with acute ischemic stroke.
- Sequential trials in the context of competing risks: Concepts and case study, with R and SAS code
- CPMCGLM: an R package for p-value adjustment when looking for an optimal transformation of a single explanatory variable in generalized linear models
- Graphical approaches for the control of generalized error rates
- A comparison of different antibiotic regimens for the treatment of infective endocarditis.
- Evidence for a nurse-led protocol for removing urinary catheters: A scoping review
- Interleukin-receptor antagonist and tumour necrosis factor inhibitors for the primary and secondary prevention of atherosclerotic cardiovascular diseases.
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