Ronghui ( Xu
Affiliations: | Mathematics | University of California, San Diego, La Jolla, CA |
Area:
Statistics, Biostatistics BiologyGoogle:
"Ronghui Xu"Children
Sign in to add trainee| Walter G. Faig | grad student | 2013 | UCSD |
| Rosanna H. Overholser | grad student | 2013 | UCSD |
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Publications
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| Huang R, Xu R, Dulai PS. (2020) Sensitivity analysis of treatment effect to unmeasured confounding in observational studies with survival and competing risks outcomes. Statistics in Medicine |
| Ying A, Xu R, Murphy J. (2018) Two-stage residual inclusion for survival data and competing risks-An instrumental variable approach with application to SEER-Medicare linked data. Statistics in Medicine |
| Wu Y, Chambers CD, Xu R. (2018) Semiparametric sieve maximum likelihood estimation under cure model with partly interval censored and left truncated data for application to spontaneous abortion. Lifetime Data Analysis |
| Hou J, Paravati A, Hou J, et al. (2018) High-dimensional variable selection and prediction under competing risks with application to SEER-Medicare linked data. Statistics in Medicine |
| Xu R, Hou J, Chambers CD. (2018) The impact of confounder selection in propensity scores when applied to prospective cohort studies in pregnancy. Reproductive Toxicology (Elmsford, N.Y.). 78: 75-80 |
| Chan PH, Xu R, Chambers CD. (2018) A Study of Measure under the Accelerated Failure Time Models. Communications in Statistics: Simulation and Computation. 47: 380-391 |
| Hou J, Chambers CD, Xu R. (2017) A nonparametric maximum likelihood approach for survival data with observed cured subjects, left truncation and right-censoring. Lifetime Data Analysis |
| Proudfoot J, Faig W, Natarajan L, et al. (2017) A joint marginal-conditional model for multivariate longitudinal data. Statistics in Medicine |
| Piao J, Ning J, Chambers CD, et al. (2017) Semiparametric model and inference for spontaneous abortion data with a cured proportion and biased sampling. Biostatistics (Oxford, England) |
| Pandey AK, Penny WF, Bhargava V, et al. (2016) Clinical Evaluation of Heart Failure: Agreement among Tests. Plos One. 11: e0161536 |