Dianliang Deng

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Discrete data in the form of counts often exhibit extra variation that cannot be explained by a simple model, such as the binomial or the Poisson. Also, these data sometimes show more zero counts than what can be predicted by a simple model. Therefore, a discrete generalized linear model (Poisson or binomial) may fail to fit a set of discrete data either(More)
Let {X,Xn;n ∈ Z } be a sequence of i.i.d. real-valued random variables, and Sn ∑ k≤n Xk , n ∈ Z . Convergence rates of moderate deviations are derived; that is, the rates of convergence to zero of certain tail probabilities of the partial sums are determined. For example, we obtain equivalent conditions for the convergence of the series ∑ n b n ψ 2 a n(More)
In this paper, an approach to estimating the cumulative mean function for history process with time dependent covariates and right censored time-to-event variable is developed using the combined technique of joint modeling and inverse probability weighting method. The consistency of proposed estimator is derived. Theoretical analysis and simulation studies(More)
a Department of Statistics and Actuarial Science, The University of Hong Kong, Pokfulam Road, Hong Kong, PR China b Department of Statistics and Finance, The University of Science and Technology of China, Hefei, Anhui, PR China c Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, PR China d School of Statistics and Management,(More)
In cancer drug development, demonstrated efficacy in tumor xenograft models is an important step toward bringing a promising compound to human use. A key outcome variable is tumor volume measured over a period of time, while mice are treated with certain treatment regimens. A constrained parametric model has been proposed to account for special features,(More)
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