Dr. Jing Ning
The University of Texas MD Anderson Cancer Center
Department of Biostatistics
- Design and analysis of clinical trials
- Joint modeling of disease recurrence and survival
- Joint modeling of longitudinal measurements and recurrent events
- Nonparametric and semi-parametric statistical methods
- Univariate and multivariate survival analysis
My research is concentrated in two areas: statistical methodology development and statistical research applied to clinical trials. My statistical methodology research include: 1) nonparametric and semparametric models and inference on length-biased data and left-truncated data arising from cancer prevention studies; 2) nonparametric and semiparametric estimation of bivariate failure time association in the presence of competing risks; 3) readily manageable statistical methods for the optimization of personalized dynamic treatment regimes for recurrent disease; 4) adaptive clinical trial designs; 5) analysis of correlated data including longitudinal data and recurrent event data.
Huang, X. and Ning, J. Analysis of multi-stage treatments for recurrent diseases. Statistics in Medicine, 31, 2805-21, 2012.
Ning J, Qin J, Shen Y. Buckley-James-type estimator with right-censored and length-biased data. Biometrics. 67(4): 1369-1378, 12/2011. PMCID: PMC3137763.
Ning J, Huang X. Response-adaptive randomization for clinical trials with adjustment for covariate imbalance. Statistics in Medicine 29(17):1761-8, 7/2010. PMCID: PMC2911996
Ning J, Qin J, Shen Y. Nonparametric tests for right-censored data with biased sampling. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72(5):609-630, 11/2010. PMCID: PMC2963462.