Quantal bioassay and stroke.

Quantal bioassay and stroke.

BACKGROUND Experimental investigation of stroke, in particular the evaluation of therapeutic maneuvers, is difficult because even well-controlled experiments show considerable variability. Optimal use of resources requires efficient statistical analysis. SUMMARY OF REVIEW A body of experience in pharmacology that is directly applicable to stroke studies is reviewed. The general approach, thou...

Comments, Opinions, and Reviews Quantal Bioassay and Stroke

Background: Experimental investigation of stroke, in particular the evaluation of therapeutic maneuvers, is difficult because even well-controlled experiments show considerable variability. Optimal use of resources requires efficient statistical analysis. Summary of Review: A body of experience in pharmacology that is directly applicable to stroke studies is reviewed. The general approach, thou...

Sampling based approach for one-hit and multi-hit models in quantal bioassay

Bayesian methods for estimating the dose response curves with the one-hit model, the gamma multi-hit model, and their modiied versions with Abbott's correction are studied. The Gibbs sampling approach with data augmentation and with the Metropolis algorithm is employed to compute the Bayes estimates of the potency curves. In addition, estimation of the \relative additional risk" and the \virtua...

A Bayesian approach to the analysis of quantal bioassay studies using nonparametric mixture models.

We develop a Bayesian nonparametric mixture modeling framework for quantal bioassay settings. The approach is built upon modeling dose-dependent response distributions. We adopt a structured nonparametric prior mixture model, which induces a monotonicity restriction for the dose-response curve. Particular emphasis is placed on the key risk assessment goal of calibration for the dose level that ...

Quantal effects and MaxEnt