Research Topics
 Anthony Y C KukSummaryAffiliation: National University of Singapore Country: Singapore Publications
 Collaborators

Detail Information
Publications
 Test of marginal compatibility and smoothing methods for exchangeable binary data with unequal cluster sizesZhen Pang
Department of Statistics and Applied Probability, National University of Singapore, Singapore
Biometrics 63:21827. 2007..The proposed methods are illustrated using several data sets and the sampling and robustness properties of the resulting estimators are evaluated by simulations...  A fast collapsed data method for estimating haplotype frequencies from pooled genotype data with applications to the study of rare variantsAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
Stat Med 32:134360. 2013..This is more parsimonious than the 12 variants selected by a recently proposed covering method. From another set of 32 rare variants aroundâ€‰the FAAH gene, we discover an interesting potential interaction between two of them...  The estimation of SARS incubation distribution from serial interval data using a convolution likelihoodAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore
Stat Med 24:252537. 2005..It is possible to obtain an even more efficient estimate by using the combined data but the improvement is not substantial...  Computationally feasible estimation of haplotype frequencies from pooled DNA with and without HardyWeinberg equilibriumAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546
Bioinformatics 25:37986. 2009..The resulting estimates are, however, not maximum likelihood estimates and hence not optimal. Furthermore, the assumption of HardyWeinberg equilibrium (HWE) made may not be realistic in practice...  A study of the efficiency of pooling in haplotype estimationAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, 117546 Singapore
Bioinformatics 26:255663. 2010..In fact, the limited evidence given so far is based on simulation studies with small numbers of loci. With rapid advance in technology, it is of interest to see if pooling is still efficient when the number of loci increases...  Recursive subsetting to identify patients in the STAR*D: a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized careAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, 6 Science Drive 2, Singapore 117546
J Clin Psychiatry 71:15028. 2010..We explored the possibility of using baseline features and early symptom change to predict which patients will and which patients will not respond to treatment...  An EM algorithm based on an internal list for estimating haplotype distributions of rare variants from pooled genotype dataAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, Singapore, 117546, Singapore
BMC Genet 14:82. 2013..There is, however, the danger of using an incorrect list, and there may not be enough database information to form a list externally in some applications...  A stepwise likelihood ratio test procedure for rare variant selection in casecontrol studiesAnthony Y C Kuk
Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore
J Hum Genet 59:198205. 2014..When the proposed procedure is applied to identify rare variants associated with obesity, it identifies one additional variant not picked up by existing methods...  Determination of the unknown age at first capture of western rock lobsters (Panulirus cygnus) by random effects modelYuk W Cheng
Western Australian Centre of Excellence in Industrial Optimisation, Curtin University of Technology, Perth, Australia
Biometrics 58:45962. 2002..A comparison between this model and the Fabens growth equation is given. The proposed method is a flexible method and can be applied to fit different growth equations when the age at first capture is unknown...