Add to ORKGBayesian methods for estimating dose response curves in quantal bioassay are studied. A linearized multi-stage model is assumed for the shape of the curves. A Gibbs sampling approach with data augmentation is employed to compute the Bayes estimates. In addition, estimation of the "relative additional risk " and the "risk specific dose " is studied. Model selection based on conditional predictive ordinates from cross-validated data is developed. Contains 22 references and 8 tables.) (Author) Reproductions supplied by EDRS are the best that can be made from the original document
The paper presents alternative statistical methods for biological dosimetry, such as the Bayesian an...
All forms of life are being exposed to different levels of harmful chemicals that can cause various ...
The classical statistics approach used in health physics for the interpretation of measurements is d...
We develop a Bayesian nonparametric mixture modeling framework for quantal bioassay settings. The ap...
This article presents Bayesian bootstrap techniques for risk assessment in bioassays and development...
Due to the concern for possible carcinogenic effects of potentially hazardous substances such as che...
Sensitivity testing, accelerated life testing, damage prediction, bioassay, quantile estimation, pot...
This thesis proposes some new model independent or nonparametric methods for estimating the dose-res...
This paper considers parallel line bioassay from a Bayesian point of view. The mathematical formulat...
In bioassay, where different levels of the stimulus may represent different doses of a drug, the bin...
Many formal statistical procedures for phase I dose-finding studies have been proposed. Most concern...
Includes bibliographical references (p. ).We first consider the problem of discrete censored samplin...
Resources for the Future (RFF), in conjunction with the U.S. Environmental Protection Agency, the So...
In dose escalation studies cohorts of subjects are given increasing doses of a candidate drug to ass...
This paper deals with the Bayesian analysis of binary response regression using Markov chain Monte C...
The paper presents alternative statistical methods for biological dosimetry, such as the Bayesian an...
All forms of life are being exposed to different levels of harmful chemicals that can cause various ...
The classical statistics approach used in health physics for the interpretation of measurements is d...
We develop a Bayesian nonparametric mixture modeling framework for quantal bioassay settings. The ap...
This article presents Bayesian bootstrap techniques for risk assessment in bioassays and development...
Due to the concern for possible carcinogenic effects of potentially hazardous substances such as che...
Sensitivity testing, accelerated life testing, damage prediction, bioassay, quantile estimation, pot...
This thesis proposes some new model independent or nonparametric methods for estimating the dose-res...
This paper considers parallel line bioassay from a Bayesian point of view. The mathematical formulat...
In bioassay, where different levels of the stimulus may represent different doses of a drug, the bin...
Many formal statistical procedures for phase I dose-finding studies have been proposed. Most concern...
Includes bibliographical references (p. ).We first consider the problem of discrete censored samplin...
Resources for the Future (RFF), in conjunction with the U.S. Environmental Protection Agency, the So...
In dose escalation studies cohorts of subjects are given increasing doses of a candidate drug to ass...
This paper deals with the Bayesian analysis of binary response regression using Markov chain Monte C...
The paper presents alternative statistical methods for biological dosimetry, such as the Bayesian an...
All forms of life are being exposed to different levels of harmful chemicals that can cause various ...
The classical statistics approach used in health physics for the interpretation of measurements is d...