Research Topics
Species | Haitao ChuSummaryAffiliation: University of Minnesota Country: USA Publications
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Detail Information
Publications
Bivariate random effects models for meta-analysis of comparative studies with binary outcomes: methods for the absolute risk difference and relative riskHaitao Chu
Division of Biostatistics, School of Public Health, The Univerity of Minnesota, Minneapolis 55455, USA
Stat Methods Med Res 21:621-33. 2012..We then utilise the bivariate random effects models to reanalyse two recent meta-analysis data sets...- Performance of rapid influenza H1N1 diagnostic tests: a meta-analysisHaitao Chu
Division of Biostatistics, School of Public Health, The University of Minnesota at Twin Cities, Minneapolis, MN 55455, USA
Influenza Other Respi Viruses 6:80-6. 2012..However, no meta-analysis has been undertaken to assess the diagnostic accuracy when this manuscript was drafted... 
Estimation of risk ratios in cohort studies with common outcomes: a Bayesian approachHaitao Chu
Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Epidemiology 21:855-62. 2010..We propose a novel Bayesian approach for the estimation of the risk ratio from the log binomial model that addresses drawbacks of existing approaches. Posterior computation can be accomplished easily using the WinBUGs code provided...- Estimating the relative excess risk due to interaction: a bayesian approachHaitao Chu
Division of Biostatistics, The University of Minnesota, Minneapolis, MN 55455, USA
Epidemiology 22:242-8. 2011..Because posterior computation with inequality constraints can be accomplished easily using free software, the proposed Bayesian approaches may be useful in practice... - Estimating the odds ratio when exposure has a limit of detectionStephen R Cole
Department of Epidemiology and Center for AIDS Research, University of Northern California at Chapel Hill, NC, USA
Int J Epidemiol 38:1674-80. 2009..In epidemiologic research, little emphasis has been placed on methods to account for left-hand censoring of 'exposures' due to a limit of detection (LOD)... - Sample size and power determination in joint modeling of longitudinal and survival dataLiddy M Chen
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, U S A
Stat Med 30:2295-309. 2011..Optimal frequency of repeated measurements also depends on the nature of the trajectory with higher polynomial trajectories and larger measurement error requiring more frequent measurements... - A Bayesian approach estimating treatment effects on biomarkers containing zeros with detection limitsHaitao Chu
Department of Biostatistics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Stat Med 27:2497-508. 2008..Stat. Med. 2005; 24:2053-2067) through simulation studies and a randomized chemoprevention trial conducted in Qidong, People's Republic of China... - Illustrating bias due to conditioning on a colliderStephen R Cole
Department of Epidemiology, UNC Gillings School of Global Public Health, Chapel Hill, NC, USA
Int J Epidemiol 39:417-20. 2010..In both examples, conditioning on the common effect imparts an association between two otherwise independent variables; we call this selection bias... - Network meta-analysis of margin threshold for women with ductal carcinoma in situShi Yi Wang
Division of Health Policy and Management, University of Minnesota School of Public Health, 420 Delaware St S E, MMC 729, Minneapolis, MN 55455, USA
J Natl Cancer Inst 104:507-16. 2012..However, there is no consensus about the best minimum margin width... 
A general approach for sample size and statistical power calculations assessing of interventions using a mixture model in the presence of detection limitsLei Nie
Department of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, 4000 Reservoir Road, Washington, DC 20057, USA
Contemp Clin Trials 27:483-91. 2006..The simulation results illustrate that the proposed methods provide adequate sample size estimates. However, when the aforementioned irregularity occurs, our methods are restricted and further research is needed...- On estimation of vaccine efficacy using validation samples with selection biasDaniel O Scharfstein
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
Biostatistics 7:615-29. 2006..Our approach is generally applicable to studies with missing binary outcomes with categorical covariates... - On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives onlyHaitao Chu
Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Stat Med 29:1206-18. 2010..In summary, further research is needed to reduce the impact of model misspecification on the estimation of disease prevalence in such settings... - The effect of HAART on HIV RNA trajectory among treatment-naïve men and women: a segmental Bernoulli/lognormal random effects model with left censoringHaitao Chu
Department of Biostatistics and the Lineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC 27599, USA
Epidemiology 21:S25-34. 2010..Highly active antiretroviral therapy (HAART) rapidly suppresses human immunodeficiency virus (HIV) viral replication and reduces circulating viral load, but the long-term effects of HAART on viral load remain unclear... - Random effects regression models for trends in standardised mortality ratiosDavid B Richardson
Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Occup Environ Med 70:133-9. 2013..However, because the distribution of people with respect to age usually changes as calendar time advances, comparisons of SMRs across calendar periods can produce misleading results... - A prognostic signature of defective p53-dependent G1 checkpoint function in melanoma cell linesCraig Carson
Department of Dermatology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Pigment Cell Melanoma Res 25:514-26. 2012..Thus, p53 function, radio-sensitivity, and metastatic spread may be estimated in melanomas from a signature of gene expression... - Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health applicationHaitao Chu
Department of Biostatistics and Lineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, NC 27599, USA
Biostatistics 10:591-602. 2009..The performance of this method is investigated through simulation studies and applied to the National Occupational Hazard Survey, a case-control study assessing the association between asbestos exposure and mesothelioma... - Meta-analysis of diagnostic accuracy studies accounting for disease prevalence: alternative parameterizations and model selectionHaitao Chu
Department of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Stat Med 28:2384-99. 2009..In summary, the proposed trivariate random effects models are novel and can be very useful in practice for meta-analysis of diagnostic accuracy studies... - Meta-analysis of randomized trials on the association of prophylactic acyclovir and HIV-1 viral load in individuals coinfected with herpes simplex virus-2Christina Ludema
Department of Epidemiology, University of North Carolina, Chapel Hill, USA
AIDS 25:1265-9. 2011..To summarize the randomized evidence regarding the association between acyclovir use and HIV-1 replication as measured by plasma HIV-1 RNA viral load among individuals coinfected with herpes simplex virus (HSV)-2... - Bayesian estimation of vaccine efficacyHaitao Chu
Department of Biostatistics, Rollins School of Public Health, Emory University, Atlanta, GA, USA
Clin Trials 1:306-14. 2004..We illustrate the methods using the data from two pertussis vaccine studies and the H. influenza Type B preventive trial... - Estimating vaccine efficacy using auxiliary outcome data and a small validation sampleHaitao Chu
Department of Biostatistics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
Stat Med 23:2697-711. 2004..Comparing the performance of these approaches using data from a field study of influenza vaccine and simulations, we recommend to use the Bayesian method in this situation... - Basic concepts and methods for joint models of longitudinal and survival dataJoseph G Ibrahim
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
J Clin Oncol 28:2796-801. 2010..To demonstrate our points throughout, we present an analysis from the Eastern Cooperative Oncology Group trial E1193, as well as examine some operating characteristics of joint models through simulation studies... - Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690Joseph G Ibrahim
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
BMC Med Res Methodol 12:183. 2012..The analyses of E1684 and E1690 were carried out separately when the results were published, and there were no further analyses trying to perform a single analysis of the combined trials... - Lagging exposure information in cumulative exposure-response analysesDavid B Richardson
Department of Epidemiology, School of Public Health, University of North Carolina at Chapel Hill, NC 27599, USA
Am J Epidemiol 174:1416-22. 2011..Lagging exposure assignment by a constant will lead to bias toward the null if the distribution of latency periods is not a fixed constant. Direct estimation of latency periods can minimize bias and improve confidence interval coverage... - NF-kB and Bcl-3 activation are prognostic in metastatic colorectal cancerSoham D Puvvada
Department of Internal Medicine, Lineberger Comprehensive Cancer Center, Chapel Hill, NC 27599 7305, USA
Oncology 78:181-8. 2010..The goal of this study was to correlate the activation status of NF-kappaB and Bcl-3 with clinical outcome in a group of patients with metastatic colorectal cancer (CRC)... - Missing data in clinical studies: issues and methodsJoseph G Ibrahim
Department of Biostatistics, University of North Carolina, CB 7420, Chapel Hill, NC 27599, USA
J Clin Oncol 30:3297-303. 2012..Although the main area of application discussed here is cancer, the issues and methods we discuss apply to any type of study... - Estimating heterogeneous transmission with multiple infectives using MCMC methodsHaitao Chu
Department of Biostatistics, Rollins School of Public Health, Emory University, 1518 Clifton Road NE, Atlanta, GA 30322, USA
Stat Med 23:35-49. 2004..Parameters are estimated using Markov chain Monte Carlo methods... - DNA-methylation profiling distinguishes malignant melanomas from benign neviKathleen Conway
Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC, USA
Pigment Cell Melanoma Res 24:352-60. 2011..This first report of a DNA-methylation signature discriminating melanomas from nevi indicates that DNA methylation appears promising as an additional tool for enhancing melanoma diagnosis... - Abasic sites preferentially form at regions undergoing DNA replicationPaul D Chastain
Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7525, USA
FASEB J 24:3674-80. 2010..They also reveal that there is increased susceptibility to oxidative damage in DNA regions undergoing replication, which may explain the previously observed clustering of AP sites... - Bivariate random effects meta-analysis of diagnostic studies using generalized linear mixed modelsHaitao Chu
Department of Biostatistics and Lineberger Comprehensive Cancer Center, Univerity of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Med Decis Making 30:499-508. 2010....