Evaluating and Testing on Beta-Logistic Heckman-Willis Model Regression
Methods are presented for modeling dose-related effects in proportion data when extra-binomial variability is a concern. Motivation is taken from experiments in developmental toxicology, where the observed proportions.
Appeal is made to the well-known beta-binomial distribution to represent the overdispersion. From this, an exponential function of the linear predictor is used to model the dose-response relationship. The spesification was introduced previously for econometric applications by Heckman and Willis; it induces a form logistic regression for mean response, together with a reciprocal biexponential model for the intralitter correlation.
For large sample, likelihood based methods for estimating and testing the joint proportion-correlation response are studied.
team researcher: Nusar Hajarisman, Asep Saefuddin, and Retno D. Helmi
UNISBA, IPB
Keywords: logistic regression, beta-binomial distributin, biexponential model
Statistic and Computation
ISSN 0853-8115
http://ipb.ac.id
Appeal is made to the well-known beta-binomial distribution to represent the overdispersion. From this, an exponential function of the linear predictor is used to model the dose-response relationship. The spesification was introduced previously for econometric applications by Heckman and Willis; it induces a form logistic regression for mean response, together with a reciprocal biexponential model for the intralitter correlation.
For large sample, likelihood based methods for estimating and testing the joint proportion-correlation response are studied.
team researcher: Nusar Hajarisman, Asep Saefuddin, and Retno D. Helmi
UNISBA, IPB
Keywords: logistic regression, beta-binomial distributin, biexponential model
Statistic and Computation
ISSN 0853-8115
http://ipb.ac.id







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