Andy Ai Ni, PhD

Dr. Ni’s main research interests are in the individualized treatment regimen estimation with survival outcomes. He is also interested in regularized variable selection and causal inference under two-stage sampling designs with survival outcome. He collaborates with faculty from multiple colleges at Ohio State and with researchers at Nationwide Children's Hospital on the design and analysis of various observational studies and clinical trials.

Causal inference with survival outcomes; Individualized treatment regimen estimation with survival outcomes; High-dimensional variable selection with survival outcomes; High-dimensional variable selection with measurement error; Two-stage sampling designs.

• Ph.D., Biostatistics, University of North Carolina at Chapel Hill
• M.S., Biostatistics, University of Toronto

• PUBHBIO 6210: Applied Biostatistics I
• PUBHBIO 7235: Applied Survival Analysis
• PUBHBIO 8235: Advanced Regression Modeling of Time‐to‐Event Data

PubMed listing

† Student under my supervision

Methodology 

A. Ni, M. Liu, L. Qin. "BatMan: Mitigating Batch Effects Via Stratification for Survival Outcome Prediction." JCO Clinical Cancer Informatics. 2023; 7: e2200138.

Z. Lin, A. Ni, B. Lu. "Matched design for marginal causal effect on restricted mean survival time in observational studies." Journal of Causal Inference. 2023; 11.1: 20220035.

X. Guo† and A. Ni. “Contrast weighted learning for robust optimal treatment rule estimation.” Statistics in Medicine. 2022; 41(27): 5379-5394.

A. Ni and LX. Qin. “Performance evaluation of transcriptomics data normalization for survival risk prediction.” Briefings in Bioinformatics. 2021; 22(6): bbab257.

A. Ni, Z. Lin, and B. Lu. “Stratified restricted mean survival time model for marginal causal effect in observational survival data.” Annals of Epidemiology. 2021; 64:149-154.

A. Ni and J. Satagopan. “Estimating additive interaction effect in stratified two-phase case-control design.” Human Heredity. 2019; 84(2):90-108.

A. Ni and J. Cai. “Tuning parameter selection in Cox proportional hazards model with a diverging number of parameters.” Scandinavian Journal of Statistics. 2018; 45(3): 557-570.

A. Ni and J. Cai. “A regularized variable selection procedure in additive hazards model with stratified case-cohort design.” Lifetime Data Analysis. 2018; 24(3): 443-463.

A. Ni, J. Cai, D. Zeng. “Variable selection for case-cohort studies with failure time outcome”. Biometrika. 2016; 103 (3): 547-562. [R package] 

Collaboration

Armstrong M, Lun J, Groner JI, Thakkar RK, Fabia R, Noffsinger D, Ni A, Xiang H. "Mobile phone virtual reality game for pediatric home burn dressing pain management: a randomized feasibility clinical trial." Pilot Feasibility Stud. 2022 Aug 18;8(1):186. PMCID: PMC9386208.

Snoke DB, Nishikawa Y, Cole RM, Ni A, Angelotti A, Vodovotz Y, Belury MA. "Dietary Naringenin Preserves Insulin Sensitivity and Grip Strength and Attenuates Inflammation but AcceleratesWeight Loss in a Mouse Model of Cancer Cachexia." Mol Nutr Food Res. 2021 Nov;65(22):e2100268.

Mukherjee C, Moyer CO, Steinkamp HM, Hashmi SB, Beall CJ, Guo X, Ni A, Leys EJ, Griffen AL. "Acquisition of oral microbiota is driven by environment, not host genetics." Microbiome. 2021 Feb 23;9(1):54.

Azadani EN, Peng J, Kumar A, Casamassimo PS, Griffen A, Amini H, Ni A. (2020). "A survival analysis of primary second molars in children treated under general anesthesia." J Am Dent Assoc. 151(8):568-575.