One-sample non-parametric tests are proposed here for inference on recurring events. The focus is on the marginal mean function of events and the basis for inference is the standardized distance between the observed and the expected 7 number of events under a specified reference rate. Different weights are considered in order to account for various types of alternative hypotheses on the mean function of the recurrent events process. A robust version and a stratified version 9 of the test are also proposed. The performance of these tests was investigated through simulation studies under various underlying event generation processes, such as homogeneous and nonhomogeneous Poisson processes, autoregressive 11 and renewal processes, with and without frailty effects. The robust versions of the test have been shown to be suitable in a wide variety of event generating processes. The motivating context is a study on gene therapy in a very rare 13 immunodeficiency in children, where a major end-point is the recurrence of severe infections. Robust non-parametric one-sample tests for recurrent events can be useful to assess efficacy and especially safety in non-randomized studies or 15 in epidemiological studies for comparison with a standard population
Rebora, P., Galimberti, S., & Valsecchi, M.G. (2010). Robust non parametric one-sample tests for the analysis of recurrent events. STATISTICS IN MEDICINE, 29(30), 3137-3146.
Citazione: | Rebora, P., Galimberti, S., & Valsecchi, M.G. (2010). Robust non parametric one-sample tests for the analysis of recurrent events. STATISTICS IN MEDICINE, 29(30), 3137-3146. |
Tipo: | Articolo in rivista - Articolo scientifico |
Carattere della pubblicazione: | Scientifica |
Titolo: | Robust non parametric one-sample tests for the analysis of recurrent events |
Autori: | Rebora, P; Galimberti, S; Valsecchi, MG |
Autori: | |
Data di pubblicazione: | 2010 |
Lingua: | English |
Rivista: | STATISTICS IN MEDICINE |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1002/sim.3879 |
Appare nelle tipologie: | 01 - Articolo su rivista |