Clinical trial optimization: Monte Carlo simulation Markov model for planning clinical trials recruitment.

@article{citeulike:2894417, abstract = {INTRODUCTION: The patient recruitment process of clinical trials is an essential element which needs to be designed properly. METHODS: In this paper we describe different simulation models under continuous and discrete time assumptions for the design of recruitment in clinical trials. RESULTS: The results of hypothetical examples of clinical trial recruitments are presented. The recruitment time is calculated and the number of recruited patients is quantified for a given time and probability of recruitment. The expected delay and the effective recruitment durations are estimated using both continuous and discrete time modeling. CONCLUSION: The proposed type of Monte Carlo simulation Markov models will enable optimization of the recruitment process and the estimation and the calibration of its parameters to aid the proposed clinical trials. A continuous time simulation may minimize the duration of the recruitment and, consequently, the total duration of the trial.}, address = {Universitat Polit\`{e}cnica de Catalunya, Facultat d'Inform\`{a}tica de Barcelona, Laboratori de C\`{a}lcul, Barcelona, Spain. ismail.abbas@fib.upc.edu}, author = {Abbas, I. and Rovira, J. and Casanovas, J. }, citeulike-article-id = {2894417}, doi = {http://dx.doi.org/10.1016/j.cct.2006.08.002}, issn = {1551-7144}, journal = {Contemporary clinical trials}, keywords = {rct}, month = {May}, number = {3}, pages = {220--231}, posted-at = {2008-06-14 09:49:11}, priority = {2}, title = {Clinical trial optimization: Monte Carlo simulation Markov model for planning clinical trials recruitment.}, url = {http://dx.doi.org/10.1016/j.cct.2006.08.002}, volume = {28}, year = {2007} }

TY - JOUR ID - citeulike:2894417 L3 - citeulike-article-id:2894417 TI - Clinical trial optimization: Monte Carlo simulation Markov model for planning clinical trials recruitment. JF - Contemporary clinical trials VL - 28 IS - 3 SP - 220 EP - 231 AD - Universitat Politècnica de Catalunya, Facultat d'Informàtica de Barcelona, Laboratori de Càlcul, Barcelona, Spain. ismail.abbas@fib.upc.edu SN - 1551-7144 N2 - INTRODUCTION: The patient recruitment process of clinical trials is an essential element which needs to be designed properly. METHODS: In this paper we describe different simulation models under continuous and discrete time assumptions for the design of recruitment in clinical trials. RESULTS: The results of hypothetical examples of clinical trial recruitments are presented. The recruitment time is calculated and the number of recruited patients is quantified for a given time and probability of recruitment. The expected delay and the effective recruitment durations are estimated using both continuous and discrete time modeling. CONCLUSION: The proposed type of Monte Carlo simulation Markov models will enable optimization of the recruitment process and the estimation and the calibration of its parameters to aid the proposed clinical trials. A continuous time simulation may minimize the duration of the recruitment and, consequently, the total duration of the trial. KW - rct AU - Abbas, I AU - Rovira, J AU - Casanovas, J PY - 2007/05// UR - http://dx.doi.org/10.1016/j.cct.2006.08.002 ER -