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Biomedical subjects

L P Sanathanan

Publications and source records attributed to L P Sanathanan.

3 recordsLinked to original sources

The randomized concentration-controlled trial: an evaluation of its sample size efficiency.

A randomized concentration-controlled trial (RCCT) is one in which subjects are randomly assigned to predetermined levels of average plasma drug concentration. These target concentrations can be achieved (within reasonable ranges) by an individualized pharmacokinetically controlled dosing scheme. The RCCT is designed to minimize the interindividual pharmacokinetic (PK) variability within comparison groups and consequently decrease the variability in clinical response within these groups. In this paper, we investigate the extent of improvement in sample size efficiency that can be gained from the RCCT design in comparison to the traditional randomized dose-controlled trial (RDCT) design. Our investigations involve both theoretical arguments and simulation studies, illustrated with data on PK and pharmacodynamic (PD) characteristics of the antiasthma drug theophylline. Aside from safety concerns that strongly suggest the use of RCCT for drugs with narrow therapeutic windows, sample size considerations favor the choice of RCCT in many situations, as shown in this paper.

Administration, Oral↗

Trimmed logit method for estimating the ED50 in quantal bioassay.

Trimmed nonparametric procedures such as the trimmed Spearman-Karber method have been proposed in the literature for overcoming the deficiencies of the probit and logit models in the analysis of quantal bioassay data. However, there are situations where the median effective dose (ED50) is not calculable with the trimmed Spearman-Karber method, but is estimable with a parametric model. Also, it is helpful to have a parametric model for estimating percentiles of the dose-response curve such as the ED10 and ED25. A trimmed logit method that combines the advantages of a parametric model with that of trimming in dealing with heavy-tailed distributions is presented here. These advantages are substantiated with examples of actual bioassay data. Simulation results are presented to support the validity of the trimmed logit method, which has been found to work well in our experience with over 200 data sets. A computer program for computing the ED50 and associated 95% asymptotic confidence interval, based on the trimmed logit method, can be obtained from the authors.

Animals↗