Research Topics
| D Y LinSummaryAffiliation: University of Washington Country: USA Publications
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Detail Information
Publications
Assessing the sensitivity of regression results to unmeasured confounders in observational studiesD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 54:948-63. 1998..We describe applications on two major medical studies...- Proportional means regression for censored medical costsD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 56:775-8. 2000..The estimator is consistent and asymptotically normal with an easily estimable covariance matrix. Simulation studies show that the proposed methodology is appropriate for practical use. An application to AIDS is provided... - Poisson regression with missing durations of exposureD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 55:252-7. 1999..We describe an application to a population-based case-control study assessing the transient increase in the risk of primary cardiac arrest during leisure-time physical activity... 
A general framework for studying genetic effects and gene-environment interactions with missing dataY J Hu
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599 7420, USA
Biostatistics 11:583-98. 2010..Extensive simulation studies demonstrate that the proposed inferential and numerical methods perform well in practical settings. Illustration with a genome-wide association study of lung cancer is provided...- Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studiesD Zeng
Department of Biostatistics, CB# 7420, University of North Carolina, Chapel Hill, NC 27599-7420, USA
Biostatistics 7:486-502. 2006..An application to a major cardiovascular study is provided... - Detecting haplotype effects in genomewide association studiesB E Huang
Department of Biostatistics, University of North Carolina, North Carolina 27599 7420, USA
Genet Epidemiol 31:803-12. 2007..We applied the new method to a case-control study on rheumatoid arthritis and identified several loci worthy of further investigations... - Simple and efficient analysis of disease association with missing genotype dataD Y Lin
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7420, USA
Am J Hum Genet 82:444-52. 2008..An application to a case-control study on rheumatoid arthritis revealed several loci that deserve further investigations... - Analysis of untyped SNPs: maximum likelihood and imputation methodsY J Hu
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genet Epidemiol 34:803-15. 2010..In addition, we provide an illustration with genome-wide data from the Wellcome Trust Case-Control Consortium (WTCCC) [2007]... - Semiparametric transformation models with random effects for joint analysis of recurrent and terminal eventsDonglin Zeng
Department of Biostatistics, CB 7420, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Biometrics 65:746-52. 2009..Extensive simulation studies demonstrate that the proposed inference procedures perform well in realistic settings. Applications to two HIV/AIDS studies are presented... - Semiparametric methods for mapping quantitative trait loci with censored dataGuoqing Diao
Department of Biostatistics, CB No. 7420, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Biometrics 61:789-98. 2005..Extensive simulation studies demonstrate that the proposed methods perform well in practical situations. Applications to two animal studies are provided... - Efficient association mapping of quantitative trait loci with selective genotypingB E Huang
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7420, USA
Am J Hum Genet 80:567-76. 2007..We demonstrate that the likelihood-based methods are highly effective in identifying causal variants and are substantially more powerful than existing methods... - Semiparametric variance-component models for linkage and association analyses of censored trait dataG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Genet Epidemiol 30:570-81. 2006..We provide an application to the age at onset of alcohol dependence data from the Collaborative Study on the Genetics of Alcoholism. A computer program is freely available... - Maximum likelihood estimation of haplotype effects and haplotype-environment interactions in association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
Genet Epidemiol 29:299-312. 2005..An application to the Carolina Breast Cancer Study reveals significant haplotype effects and haplotype-smoking interactions in the development of breast cancer... - Estimating haplotype-disease associations with pooled genotype dataD Zeng
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genet Epidemiol 28:70-82. 2005..The results show that DNA pooling is highly efficient in studying haplotype-disease associations. As a by-product, this work provides valid and efficient methods for estimating haplotype-disease associations with unpooled DNA samples... - Proper analysis of secondary phenotype data in case-control association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genet Epidemiol 33:256-65. 2009..We demonstrate the pitfalls of the standard methods and the advantages of the new methods both analytically and numerically. The relevant software is available at our website... 
Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant dataD Y Lin
Department of Biostatistics, University of North Carolina, McGavran Greenberg Hall, CB 7420, Chapel Hill, NC 27599 7420, USA
Genet Epidemiol 34:60-6. 2010..Collating only summary results will increase the number and representativeness of available studies, simplify data collection and analysis, reduce resource utilization, and accelerate discovery...- Efficient resampling methods for nonsmooth estimating functionsDonglin Zeng
Department of Biostatistics, CB 7420, University of North Carolina, Chapel Hill, NC 27599 7420, USA
Biostatistics 9:355-63. 2008..Its usefulness is illustrated with heteroscedastic quantile regression and censored data rank regression. Numerical results based on simulated and real data are provided... - Improving the power of association tests for quantitative traits in family studiesG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genet Epidemiol 30:301-13. 2006..We have implemented the new methods in a freely available computer program... - Goodness-of-fit methods for generalized linear mixed modelsZhiying Pan
Department of Biostatistics, University of North Carolina, CB 7420, McGavran-Greenberg Hall, Chapel Hill, 27599-7420, USA
Biometrics 61:1000-9. 2005..Extensive simulation studies show that the proposed goodness-of-fit tests have proper sizes and are sensitive to model misspecification. Applications to two medical studies lead to improved models... - Evaluating statistical significance in two-stage genomewide association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, 27599 7420, USA
Am J Hum Genet 78:505-9. 2006.... - An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait LociFei Zou
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genetics 168:2307-16. 2004..The usefulness of the proposed method is demonstrated through simulation studies and an application to a Drosophila backcross... - A powerful and robust method for mapping quantitative trait loci in general pedigreesG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599-7420, USA
Am J Hum Genet 77:97-111. 2005..The computer program that implements the new method is freely available... - Nonparametric tests for the gap time distributions of serial events based on censored dataD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7400, USA
Biometrics 57:369-75. 2001..An illustration with data taken from a colon cancer study is provided. The related problem of testing the independence of two successive gap times is also studied... - On the Breslow estimatorD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420, Chapel Hill, NC 27599 7420, USA
Lifetime Data Anal 13:471-80. 2007..The present paper describes the Breslow estimator and its tremendous impact on the theory and practice of survival analysis... - GOFCOX: a computer program for the goodness-of-fit analysis of the Cox proportional hazards modelD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195
Comput Methods Programs Biomed 38:101-5. 1992..The program runs on both mainframe computers and microcomputers. The running time is minimal even for large data sets. A simple example is provided to illustrate the features of the program... - Semiparametric analysis of recurrent events data in the presence of dependent censoringDebashis Ghosh
Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan, USA
Biometrics 59:877-85. 2003..The finite-sample behavior of the new inference procedures is evaluated through simulation studies. An application to recurrent hospitalization data taken from a study of intravenous drug users is provided... - Mapping quantitative trait loci with censored observationsGuoqing Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genetics 168:1689-98. 2004..In addition, we show how to assess genome-wide statistical significance. The performance of the proposed methods is evaluated through extensive simulation studies. An application to a mouse cross is provided... - An efficient Monte Carlo approach to assessing statistical significance in genomic studiesD Y Lin
Department of Biostatistics, University of North Carolina, McGavran Greenberg Hall, CB 7420, Chapel Hill, NC 27599 7420, USA
Bioinformatics 21:781-7. 2005.... - Model-checking techniques for stratified case-control studiesPatrick G Arbogast
Department of Biostatistics, Vanderbilt University, S 2323 Medical Center North, Nashville, TN 37232 2158, USA
Stat Med 24:229-47. 2005..Simulation studies demonstrate that the proposed methods perform well in practical settings. Illustration with an oesophageal cancer study is provided... - Evaluating the role of CD4-lymphocyte counts as surrogate endpoints in human immunodeficiency virus clinical trialsD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195
Stat Med 12:835-42. 1993..The results indicate that the CD4-lymphocyte count captures part of the relationship between zidovudine and time to a first critical event but does not fulfil the Prentice criterion... - Methods for analyzing health care utilization and costsP Diehr
Department of Biostatistics, University of Washington, Seattle 98195, USA
Annu Rev Public Health 20:125-44. 1999..We also address issues of study design and new methods for dealing with censored data. Examples are presented... - Survival analysis in clinical trials: past developments and future directionsT R Fleming
Department of Biostatistics, Box 357232, University of Washington, Seattle, Washington 98195, USA
Biometrics 56:971-83. 2000.... - Haplotype-based association analysis in cohort studies of unrelated individualsD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genet Epidemiol 26:255-64. 2004.... - Semiparametric regression analysis of longitudinal data with informative drop-outsD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420 McGavran Greenberg, Chapel Hill, NC 27599 7420, USA
Biostatistics 4:385-98. 2003..Extensive simulation studies demonstrate that the proposed methods are suitable for practical use. Illustrations with data taken from two AIDS clinical trials are provided... - Assessing genomewide statistical significance in linkage studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
Genet Epidemiol 27:202-14. 2004..The usefulness of the proposed approach is demonstrated through extensive simulation studies and an application to the nuclear family data from the Tenth Genetic Analysis Workshop... - Regression analysis of incomplete medical cost dataD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420 McGavran Greenberg, Chapel Hill 27599 7420, USA
Stat Med 22:1181-200. 2003.... - Time-dependent covariates in the Cox proportional-hazards regression modelL D Fisher
Department of Biostatistics, University of Washington, Seattle 98195 7232, USA
Annu Rev Public Health 20:145-57. 1999..The estimated probability of an event over time is not related to the hazard function in the usual fashion. An appendix summarizes the mathematics of time-dependent covariates... - Model-checking techniques based on cumulative residualsD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7420, USA
Biometrics 58:1-12. 2002..The proposed techniques are particularly useful in checking the functional form of a covariate and the link function. Illustrations with several medical studies are provided...