2009
DOI: 10.1002/sim.3513
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A recycling framework for the construction of Bonferroni‐based multiple tests

Abstract: In this paper we describe Bonferroni-based multiple testing procedures (MTPs) as strategies to split and recycle test mass. Here, 'test mass' refers to (parts of) the nominal level alpha at which the family-wise error rate is controlled. Briefly, test mass is split between different null hypotheses, and whenever a null hypothesis is rejected, the part of alpha allocated to it may be recycled to the testing of other hypotheses. These recycling MTPs are closed testing procedures based on raw p-values associated … Show more

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Cited by 117 publications
(136 citation statements)
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“…164 OS and ORR were tested using a multiple testing procedure with an alpha-exhaustive 199 recycling strategy to control type-I error at the overall alpha level. 18 A subgroup analysis was performed on PFS data (ITT) for the following baseline 211 covariates: ER+ and PgR+ (yes/no); metastatic disease (yes/no); concomitant use of 212 bisphosphonates (yes/no); measurable disease (yes/no); prior chemotherapy for locally 213 advanced or metastatic breast cancer (yes/no); geographic region; prior systemic 214 estrogen containing HRT (yes/no); and visceral disease (yes/no). HRs and 95% CI 215…”
Section: Outcomes 159mentioning
confidence: 99%
See 1 more Smart Citation
“…164 OS and ORR were tested using a multiple testing procedure with an alpha-exhaustive 199 recycling strategy to control type-I error at the overall alpha level. 18 A subgroup analysis was performed on PFS data (ITT) for the following baseline 211 covariates: ER+ and PgR+ (yes/no); metastatic disease (yes/no); concomitant use of 212 bisphosphonates (yes/no); measurable disease (yes/no); prior chemotherapy for locally 213 advanced or metastatic breast cancer (yes/no); geographic region; prior systemic 214 estrogen containing HRT (yes/no); and visceral disease (yes/no). HRs and 95% CI 215…”
Section: Outcomes 159mentioning
confidence: 99%
“…OS and ORR were tested using a multiple testing procedure with an alpha-exhaustive 199 recycling strategy to control type-I error at the overall alpha level. 18 were calculated using the method of Ellis et al 19 EDoR and EDoCB allow a statistical 207 comparison to be made on the duration of response and clinical benefit between the 208 two treatment arms. An analysis of time to deterioration of TOI and FACT-B total 209 score was performed as described for PFS.…”
Section: Outcomes 159mentioning
confidence: 99%
“…A similar comment applies for H 0 and H 0 . Hence, a source of possible improvement arises by looking for recent inferential methods that, taking advantage of the hierarchical structure of the hypotheses, allows for a better distribution of α on the various nodes of the tree (see, among others, Bretz et al 2009;Burman et al 2009;Goeman and Finos 2010). Many of these inferential methods can be seen as special cases of the sequential rejection principle of Goeman and Solari (2010), spurring us towards further developments in this direction.…”
Section: Concluding Remarks and Discussionmentioning
confidence: 99%
“…We propose to use a multiple testing procedure to conduct two sensitivity analyses, one for H Γ and one for H * Υ , correcting for multiple testing using the recycling method of Burman, Sonesson and Guilbaud (2009). The recycling procedure strongly controls the familywise error rate.…”
Section: An Algorithm For Matching To Ensure Separation On a Prodmentioning
confidence: 99%