1982
DOI: 10.2307/2529881
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Maximally Selected Chi Square Statistics

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Cited by 443 publications
(290 citation statements)
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“…The time interval for the end point was calculated from the date of operation to the date of death or the first clinical examination or imaging study that indicated locoregional recurrence or distant metastasis. The maximal chi-square method of Miller and Siegmund [17], and Halpern [18] was applied to determine the cutoff value of MTV which best dichotomized all patients into two subgroups with poor or good prognosis in terms of DFS. The same method was also adapted for SUV peak to determine the cutoff point.…”
Section: Resultsmentioning
confidence: 99%
“…The time interval for the end point was calculated from the date of operation to the date of death or the first clinical examination or imaging study that indicated locoregional recurrence or distant metastasis. The maximal chi-square method of Miller and Siegmund [17], and Halpern [18] was applied to determine the cutoff value of MTV which best dichotomized all patients into two subgroups with poor or good prognosis in terms of DFS. The same method was also adapted for SUV peak to determine the cutoff point.…”
Section: Resultsmentioning
confidence: 99%
“…The maximal w 2 method (Halpern, 1982;Miller and Siegmund, 1982;Lausen and Schumacher, 1992) was used to determine which gene expression (optimal cutoff point) best segregated patients into poor-and good-outcome subgroups (in terms of likelihood of response and survival). To determine the corrected P-values on the basis of the maximal w 2 analysis, 2000 bootstrap-like simulations were used in univariate analyses to estimate the distribution of the maximal w 2 statistics under the null hypothesis of no association.…”
Section: Resultsmentioning
confidence: 99%
“…The Spearman's rho method was used to correlate expression levels of TS and ERCC1. The maximal w 2 method of Miller and Siegmund (Miller and Siegmund, 1982) and Halpern (Halpern, 1982) was adapted to determine which cutoff value best dichotomised patients into low-and high-expression TS and ERCC1 subgroups; the Tree method (LeBlanc and Crowley, 1992) was then applied to optimise these cutoff values. The final cutoff values were confirmed by recursive partitioning and amalgamation using S-Plus software, version 6.1 (Statistical Sciences, Seattle, WA, USA).…”
Section: Resultsmentioning
confidence: 99%