Time-To-Event Outcomes

C.H. Lee, J. Ning, Y. Shen. Model diagnostics for the proportional hazards model with length-biased data. Lifetime Data Analysis, doi:10.1007/s10985-018-9422-y, 2018.

C.H. Lee, C.-Y. Huang, G. Xu, X. Luo. Semiparametric regression analysis for alternating recurrent event data. Statistics in Medicine, 37(6):996-1008, 2018.

C.H. Lee, J. Ning, Y. Shen. Analysis of restricted mean survival time for length-biased data. Biometrics, 74(2):575-583, 2018.

Gu, X., Ma, Y., Balasubramanian, R. (2015). Semi-parametric time to event models in the presence of error-prone, self-reported outcomes - with application to the Women’s Health Initiative, Annals of Applied Statistics, 9 (2), 714-730. PMCID: PMC4729390

Gu, X., Balasubramanian, R. (2016). Study design for non-recurring, time to event outcomes in the presence of error-prone diagnostic tests or self-reports, Statistics in Medicine, 35(22), 3961-3975.

Balasubramanian, R., Fowler, M.G., Dominguez, K., Lockman, S., Tookey, P. A., Huong, N. N. G., Nesheim, S., Hughes, M. D., Lallemant, M., Toswill, J., Shaffer, N., Sherman, G., Palumbo, P., Shapiro, D. E. (2017): The Association Of Prophylactic Maternal And Infant Antiretroviral Regimen With The Time To Positive HIV-1 DNA Polymerase Chain Reaction In Non-Breastfed Infants Infected Primarily With Non-B Subtype HIV-1 – A Multi Cohort Analysis, AIDS, 31 (18), 2465-2474.

Atem, F., Qian, J., Maye J.E., Johnson, K.A. and Betensky, R.A. (2017) Linear regression with a randomly censored covariate: Application to an Alzheimer's study. Journal of the Royal Statistical Society: Series C, 66(2):313-328.

Qian, J.,  Wolters, F., Beiser, A., Hann, M., Ikram, A., Karlawish, J., Langbaum, J.B., Neuhaus, J.M., Reiman, E.M., Seshadri, S., Tariot, P.N., Woods, B.M., Betensky, R.A. and Blacker, D. (2017) APOE-related risk of mild cognitive impairment and dementia for prevention trials: an analysis of four cohorts. PLOS Medicine, 14(3): e1002254.

Chiou, S., Qian, J., Morminoand, E. and Betensky, R.A. (2018) Permutation testing for general dependent truncation. Computational Statistics & Data Analysis, 128: 308-324.

Qian, J., Chiou, S., Maye, J. E., Atem, F., Johnson, K.A. and Betensky, R.A. Threshold regression to accommodate a censored covariate. Biometrics, in press.