Search Results - "Kuk, Anthony Y.C."

A stepwise likelihood ratio test procedure for rare variant selection in case-control studies by Kuk, Anthony Y C, Nott, David J, Yang, Yaning

“…There is much recent interest in finding rare genetic variants associated with various diseases. Owing to the scarcity of rare mutations, single-variant…”
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Test of Marginal Compatibility and Smoothing Methods for Exchangeable Binary Data with Unequal Cluster Sizes by Pang, Zhen, Kuk, Anthony Y.C

“…Exchangeable binary data are often collected in developmental toxicity and other studies, and a whole host of parametric distributions for fitting this kind of…”
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Analysis of Clustered Binary Data With Unequal Cluster Sizes: A Semiparametric Bayesian Approach by Nott, David J., Kuk, Anthony Y. C., Kuk, D. J.

“…The analysis of clustered binary data is a common task in many areas of application. Parametric approaches to the analysis of such data are numerous, but there…”
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Coefficient sign prediction methods for model selection by Nott, David J, Kuk, Anthony Y.C

“…We consider a Bayesian model selection strategy based on predicting the signs of the coefficients in a regression model, i.e. we consider identification of…”
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Function compositional adjustments of conditional quantile curves by Kuk, Anthony Y.C.

“…To adjust the quantile function estimated using a parametric model, the parametric function is composed with the quantile function of the probability integral…”
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Estimating Monotonic Hazard Ratio Functions of Time by Kuk, Anthony Y.C.

“…Summary In non‐proportional hazards models, the hazard ratio for a unit increase in covariate value is not constant but varies over time. Existing approaches…”
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Monte Carlo approximation through Gibbs output in generalized linear mixed models by Chan, Jennifer S.K., Kuk, Anthony Y.C., Yam, Carrie H.K.

“…Geyer (J. Roy. Statist. Soc. 56 (1994) 291) proposed Monte Carlo method to approximate the whole likelihood function. His method is limited to choosing a…”
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A Non‐Proportional Hazards Model with Hazard Ratio Functions Free from Covariate Values by Kuk, Anthony Y. C.

“…Summary A brief survey on methods to handle non‐proportional hazards in survival analysis is given with emphasis on short‐term and long‐term hazard ratio…”
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The use of approximating models in Monte Carlo maximum likelihood estimation by Kuk, Anthony Y.C

“…To obtain the likelihood of a non-Gaussian state-space model, Durbin and Koopman (1997, Biometrika, 84, 669–684) first calculate the likelihood under an…”
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An extended semiparametric model for short-term and long-term hazard ratios by Kuk, Anthony Y. C.

“…In survival analysis, one way to deal with non-proportional hazards is to model short-term and long-term hazard ratios. The existing model of this nature has…”
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Empirical Bayes Gaussian likelihood estimation of exposure distributions from pooled samples in human biomonitoring by Li, Xiang, Kuk, Anthony Y. C., Xu, Jinfeng

“…Human biomonitoring of exposure to environmental chemicals is important. Individual monitoring is not viable because of low individual exposure level or…”
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Recursive Subsetting to Identify Patients in the STARD: A Method to Enhance the Accuracy of Early Prediction of Treatment Outcome and to Inform Personalized Care by KUK, Anthony Y. C, JIALIANG LI, JOHN RUSH, A

“…There are currently no clinically useful assessments that can reliably predict--early in treatment--whether a particular depressed patient will respond to a…”
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Parallel Variational Bayes for Large Datasets With an Application to Generalized Linear Mixed Models by Tran, Minh-Ngoc, Nott, David J., Kuk, Anthony Y. C., Kohn, Robert

“…The article develops a hybrid variational Bayes (VB) algorithm that combines the mean-field and stochastic linear regression fixed-form VB methods. The new…”
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A fast collapsed data method for estimating haplotype frequencies from pooled genotype data with applications to the study of rare variants by Kuk, Anthony Y.C., Li, Xiang, Xu, Jinfeng

“…Haplotype information could lead to more powerful tests of genetic association than single‐locus analyses but it is not easy to estimate haplotype frequencies…”
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Variable and threshold selection to control predictive accuracy in logistic regression by Kuk, Anthony Y. C., Li, Jialiang, John Rush, A.

“…Using data collected from the 'Sequenced treatment alternatives to relieve depression' study, we use logistic regression to predict whether a patient will…”
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A study of the efficiency of pooling in haplotype estimation by Kuk, Anthony Y. C., Xu, Jinfeng, Yang, Yaning

“…Motivation: It has been claimed in the literature that pooling DNA samples is efficient in estimating haplotype frequencies. There is, however, no theoretical…”
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A Hybrid Pairwise Likelihood Method by Kuk, Anthony Y. C.

“…A modification to the pairwise likelihood method is proposed, which aims to improve the estimation of the marginal distribution parameters. This is achieved by…”
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Computationally feasible estimation of haplotype frequencies from pooled DNA with and without Hardy–Weinberg equilibrium by Kuk, Anthony Y. C., Zhang, Han, Yang, Yaning

“…Motivation: Pooling large number of DNA samples is a common practice in association study, especially for initial screening. However, the use of…”
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Testing multiple gene interactions by the ordered combinatorial partitioning method in case–control studies by Hua, Xing, Zhang, Han, Zhang, Hong, Yang, Yaning, Kuk, Anthony Y.C.

“…Motivation: The multifactor-dimensionality reduction (MDR) method has been widely used in multi-locus interaction analysis. It reduces dimensionality by…”
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The estimation of SARS incubation distribution from serial interval data using a convolution likelihood by Kuk, Anthony Y. C., Ma, Stefan

“…The incubation period of SARS is the time between infection of disease and onset of symptoms. Knowledge about the distribution of incubation times is crucial…”
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