Choice of a null distribution in resampling-based multiple testing
By Katherine S. Pollard, M. J. van der Laan. 2004
106 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/ef920b24ce7a8f7e4c78a9835fe5fe802def5d30
How researchers see this paper
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- K. Mayer
- N. Flynn
- Clayton D. Harro
- F. Judson
- D. Forthal
- M. Para
Citations in the corpus
- Placebo-controlled phase 3 trial of a recombinant glycoprotein 120 vaccine to prevent HIV-1 infection. (2005, methodology): “b Two-sided P values from a nonparametric bootstrap procedure that was conducted with 10,000 resampled data sets; Wald statistics from univariate Cox proportional hazards models were used [25].”
- Distribution-free Multiple Testing (2016, unknown): “This is advocated in [12, 25], for example.”
- Multiple Testing Procedures with Applications to Genomics (2007, unknown): “The first original null distribution of Dudoit et al. (2004b), van der Laan et al. (2004a), and Pollard and van der Laan (2004), is defined as the asymptotic distribution of the M -vector Z n of null shift and scale-transformed test statistics, Z n (m) ≡ min 1, τ 0 (m) Var[T n (m)] (T n (m) − E[T n…”