Statistical methods in randomised controlled trials for delirium.
J Psychosom Res
; 73(3): 197-204, 2012 Sep.
Article
en En
| MEDLINE
| ID: mdl-22850260
OBJECTIVE: The analysis of clinical trials in delirium is typically complicated by treatment dropouts and by the fact that even untreated individuals may have a good prognosis. These features of delirium trials warrant special statistical attention; implications for each stage of a trial planning process are described. METHODS: Choice of outcome, patient sample, and data collection in delirium trials are discussed. Descriptions are given, together with examples, of time-to-event, imputation-based, linear and nonlinear models for the analysis of randomised controlled trials for delirium. RESULTS: Imputation allows evaluation of the plausibility of individual recovery trajectories, but some simple imputations are found to be unsuitable for delirium research. Time-to-event and nonlinear models encourage a global perspective on analysis, which is often preferable to cross-sectional end-of-trial assessments. It is suggested that nonlinear random effects models for longitudinal trajectories are particularly suitable in a delirium context. CONCLUSION: It is hoped that the methods described, and nonlinear models in particular, will play a part in convincing analyses of future delirium research.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Ensayos Clínicos Controlados Aleatorios como Asunto
/
Estadística como Asunto
/
Delirio
Tipo de estudio:
Clinical_trials
/
Prognostic_studies
/
Risk_factors_studies
Límite:
Humans
Idioma:
En
Revista:
J Psychosom Res
Año:
2012
Tipo del documento:
Article
Pais de publicación:
Reino Unido