Haiqun Lin, M.D., Ph.D.
Associate Professor,
Biostatistics
My primary research interests lie in the development and application
of statistical methods for biological responses that vary in time
and occasion, for example: biomarker readings over time; gene expression
profiles in different cell lines and under different biological
conditions; and tumor recurrence. My biostatistical research areas
include: joint modeling of longitudinal responses and event process;
latent class models with random effects; and analysis of longitudinal
responses in the presence of missing and confounding data . I am
collaborating with researchers in cancer, nutrition, health service
evaluation and psychiatry.
Selected Publications
Lin, H.Q., Guo, Z.C., Peduzzi, P.N., Gill, T.M., and Allore, H.A. A Semiparametric Transition Model with Latent Traits for Longitudinal Multistate Data. Biometrics, in press.
Lin, H.Q., Feng, Z., Yu, Y., Zheng, Y., Shivapurkar, N., and Gazdar, A.F. Application of Multidimensional Selective Item Response Regression Model for Studying Multiple Gene Methylation in SV40 Oncogenic Pathways. Journal of the American Statistical Association, in press, 2007.
Lin, H.Q., Scharfstein, D.O., and Rosenheck, R.A. Analysis
of longitudinal data with informative follow-up. Journal
of the Royal Statistical Society Series B 66(3): 791-813, 2004.
Lin, H.Q., McCulloch, C.E., and Rosenheck, R.A. Latent
pattern mixture model for informative intermittent missing data
in longitudinal studies. Biometrics 60(2): 295-305,
2004.
Lin, H.Q., McCulloch, C.E., and Mayne, S.T. Maximum
likelihood estimation in the joint analysis of time-to-event and
multiple longitudinal variables. Statistics in Medicine
21(16): 2369-2382, 2002.
Lin, H.Q., Turnbull, B.W., McCulloch, C.E. and Slate, E.H. Latent
class models for joint analysis of longitudinal biomarker and event
process data. Journal of the American Statistical Association
457: 53-65, 2002.
Lin, H.Q., Yeh, C.B., Peterson, B.S., et al. Assessment of symptom
exacerbations in a longitudinal study of children with Tourette
syndrome or obsessive-compulsive disorder. Journal of the American
Academy of Child & Adolescent Psychiatry 41(9): 1070-1077, 2002.
Lin, H.Q., McCulloch, C.E., Turnbull, B.W., Slate, E.H., and Clark,
L.C. A latent class mixed model for analyzing biomarker trajectories
with irregularly scheduled observations. Statistics in Medicine
19: 1303-1318, 2000.
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