Studies of the relationships between the pharmacokinetics of a drug and its pharmacodynamics could significantly improve chemotherapy efficacy. However, despite their proven value, pharmacokinetic studies sometimes appear as cumbersome and difficult procedures. The bayesian approach associated with an optimal sampling time strategy (OST) allows the determination of the pharmacokinetic parameters of a drug with a smaller number of blood samples compared with that required by the classic maximum likelihood estimation (MLE). Therefore, the bayesian approach may lead to a less discomfort to the patients and less work for the medical staff. Such a method was developed to determine the individual pharmacokinetic parameters of etoposide (VP16). First, the statistical characteristics of the pharmacokinetic parameters were evaluated in 14 courses from 14 patients. Then, based on these results, a three-sample strategy was developed. Validation of this methodology was performed in 7 new patients and evaluated by computing bias and precision. The performance of the developed methodology shows that it could successfully be applied for the determination of VP16 pharmacokinetic parameters.