Brownian motion and long-term clinical trial recruitment

Autor:	Lisa E. Brown, Lemuel A. Moyé, Frank M. Sacks, Dejian Lai, Barry R. Davis
Rok vydání:	2001
Předmět:	Statistics and Probability medicine.medical_specialty Applied Mathematics Tolerance limit Term (time) Clinical trial Linear estimation Recurrent event Physical medicine and rehabilitation Econometrics medicine Statistics Probability and Uncertainty Brownian motion Mathematics
Zdroj:	Journal of Statistical Planning and Inference. 93:239-246
ISSN:	0378-3758
DOI:	10.1016/s0378-3758(00)00203-2
Popis:	Accurate prediction of recruitment in a clinical trial may help investigator to better allocate resources and to quickly make decision to intervene in the case of slow recruitment. In this paper, the theory of Brownian motion was used to model recruitment in a long-term clinical trial. The proposed model is illustrated using the recruitment experience of the Cholesterol and Recurrent Event (CARE) Trial.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::af0c781f307b4fe3b4073d5774ad33f0 https://doi.org/10.1016/s0378-3758(00)00203-2 Zobrazit plný text záznamu Full Text from ScienceDirect