Validations of analytical methods are important for the generation of data for bioavailability, bioequivalence and pharmacokinetic studies. It is essential to use well defined and fully validated analytical methods to obtain reliable results that can be satisfactorily interpreted. This manuscript is intended to provide guiding principles for the evaluation of a method's overall performance. For this purpose, all of the variables of the method are considered, including sampling procedure, sample preparation, chromatographic separation, detection and data evaluation. The criteria considered are as follows; stability, selectivity, limits of quantification and of detection, accuracy, precision, linearity, recovery and ruggedness. Models used for analytical calibration curves are explained in term of validity and limitations, along with a presentation of the most common statistical considerations used to validate the model. Appropriate means of testing precision and accuracy, the most important factors in assessing method quality, are presented. Other issues, such as re-validation, cross-validation, partial sample volume, endogenous drugs and biological matrix of limited availability, are also discussed.