RT Journal Article
T1 Multiple comparison procedures for discrete uniform and homogeneous tests
A1 Cousido Rocha, Marta
A1 De Uña Alvarez, Jacobo
A1 Döhler, Sebastian
K1 1209 Estadística
K1 12 Matemáticas
K1 1209.99 Otras
AB Discrete uniform and homogeneous p-values often arise in applications with multiple testing. For example, this occurs in genome wide association studies whenever a non-parametric one-sample (or two-sample) test is applied throughout the gene loci. In this paper, we consider multiple comparison procedures for such scenarios based on several existing estimators for the proportion of true null hypotheses, p0, which take the discreteness of the p-values into account. The theoretical guarantees of the several approaches with respect to the estimation of p0 and the false discovery rate control are reviewed. The performance of the discrete procedures is investigated through intensive Monte Carlo simulations considering both independent and dependent p-values. The methods are applied to three real data sets for illustration purposes too. Since the particular estimator of p0 used to compute the q-values may influence its performance, relative advantages and disadvantages of the reviewed procedures are discussed. Practical recommendations are given.
PB Journal of the Royal Statistical Society Series C (Applied Statistics)
SN 00359254
YR 2022
FD 2022-01
LK http://hdl.handle.net/11093/2969
UL http://hdl.handle.net/11093/2969
LA eng
NO Journal of the Royal Statistical Society Series C (Applied Statistics), 71(1): 219-243 (2022)
NO Financiado para publicación en acceso aberto: Universidade de Vigo/CISUG
NO Ministerio de Economía y Competitividad | Ref. BES-2015-074958
DS Investigo
RD 28-abr-2025