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Title: Analysis of dose-response data from developmental toxicity studies
Authors: PANG ZHEN
Keywords: Developmental toxicity data; EM algorithm; Exchangeability; Compatibility of marginal distributions; Kernel smoothing; Penalized likelihood
Issue Date: 7-Apr-2006
Citation: PANG ZHEN (2006-04-07). Analysis of dose-response data from developmental toxicity studies. ScholarBank@NUS Repository.
Abstract: Clustered binary data are often collected in developmental toxicity studies. We advocate a shared response model to analyze the data parametrically. An EM algorithm is derived to estimate the parameters.The superiority of our model over other models is shown by both real data and simulations.Marginal compatibility is a crucial assumption in clustered binary data. We give a new test statistic to test this assumption. The p-value of our statistic is very close to the bootstrap results.When the data are sparse, the probability function estimated using a saturated model can be very jagged. We extend the penalized likelihood method to smooth the saturated model. In the presence of covariate, we propose a penalized kernel method that performs smoothing in both the covariate and response space. The proposed methods are illustrated using several data sets and the sampling and robustness properties of the resulting estimators are evaluated by simulations.
Appears in Collections:Ph.D Theses (Open)

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