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Titre du document / Document title

Two-sample tests of the equality of two cumulative incidence functions

Auteur(s) / Author(s)

BAJORUNAITE Ruta (1) ; KLEIN John P. (2) ;

Affiliation(s) du ou des auteurs / Author(s) Affiliation(s)

(1) Department of Mathematics, Statistics, and Computer Science, Marquette University, P.O. Box 1881, Milwaukee, WI 53201-1881, ETATS-UNIS
(2) Division of Biostatistics, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53226, ETATS-UNIS

Résumé / Abstract

Typically, differences in the effect of treatment on competing risks are compared by a weighted log-rank test. This test compares the cause-specific hazard rates between the groups. Often the test does not agree with impressions gained from plots of the cumulative incidence functions. Here, we discuss two-sample tests of the equality of two cumulative incidence functions. The first test, based on a suggestion of Lin [1997. Non-parametric inference for cumulative incidence functions in competing risks studies. Statist. Med. 16, 901-910], compares the maximum difference between the two cumulative incidence functions. A Monte Carlo method is used to find p-values for the test. The second test, based on a suggestion of Pepe [1991. Inference for events with dependent risks in multiple endpoint studies. J. Amer. Statist. Assoc. 86, 770-778], compares the integrated difference between the functions. A new variance estimator is proposed for this statistic. A small simulation study is used to compare the various tests. The methods are illustrated on a bone marrow transplant study.

Revue / Journal Title

Computational statistics & data analysis    ISSN  0167-9473 

Source / Source

2007, vol. 51, no9, pp. 4269-4281 [13 page(s) (article)] (1/4 p.)

Langue / Language

Anglais

Editeur / Publisher

Elsevier, Amsterdam, PAYS-BAS  (1983) (Revue)

Mots-clés anglais / English Keywords

Risk function

;

Parametric inference

;

Weighted test

;

Treatment effect

;

Statistical computation

;

Data analysis

;

Statistical simulation

;

Statistical method

;

Variance

;

Monte Carlo method

;

Statistical estimation

;

Parametric method

;

Non parametric estimation

;

Rank test

;

Competing risk

;

Treatment efficiency

;

Equality test

;

Mots-clés français / French Keywords

Fonction risque

;

Inférence paramétrique

;

Test pondéré

;

Effet traitement

;

62J10

;

65C05

;

62E17

;

62Fxx

;

Calcul statistique

;

Analyse donnée

;

Simulation statistique

;

Méthode statistique

;

Variance

;

Méthode Monte Carlo

;

Estimation statistique

;

Méthode paramétrique

;

Estimation non paramétrique

;

Test rang

;

Risque simultané

;

Efficacité traitement

;

Test égalité

;

Mots-clés espagnols / Spanish Keywords

Cálculo estadístico

;

Análisis datos

;

Simulación estadística

;

Método estadístico

;

Variancia

;

Método Monte Carlo

;

Estimación estadística

;

Método paramétrico

;

Estimación no paramétrica

;

Test rango

;

Riesgo simultáneo

;

Eficacia tratamiento

;

Test igualdad

;

Mots-clés d'auteur / Author Keywords

Competing risks

;

Cumulative incidence function

;

Two-sample tests

;

Localisation / Location

INIST-CNRS, Cote INIST : 20214, 35400014954789.0130

Nº notice refdoc (ud4) : 18717131



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