Publications

Publication Summary:

(A) Major work

• Published or In press​:
  1. Yan-Lin Chen, Yan-Hong Chen, Pei-Fang Su, Huang-Tz Ou, and An-Shun Tai* (2024). Robust inference for causal mediation analysis of recurrent event data. Statistics in Medicine. 43(16): 3020-3035. doi: 10.1002/sim.10118. Link
  2. An-Shun Tai and Sheng-Hsuan Lin* (2024). Multiply robust estimation of natural indirect effects with multiple ordered mediators. Statistics in Medicine. 43(4):656-673. doi: 10.1002/sim.9977 Link R code
  3. An-Shun Tai and Sheng-Hsuan Lin* (2023). Complete effect decomposition for an arbitrary number of multiple ordered mediators with time-varying confounders: A method for generalized causal multi-mediation analysis. Statistical Methods in Medical Research. 32(1), 100-117. Link
  4. An-Shun Tai, Sheng-Hsuan Lin*, Yu-Cheng Chu, Tsung Yu, Milo A. Puhan, and Tyler VanderWeele (2023). Causal mediation analysis with multiple time-varying mediators. Epidemiology. 34(1): p 8-19 Link
  5. An-Shun Tai, Ro-Ting Lin*, Yi-Chun Lin, Chung-Hsing Wang, Sheng-Hsuan Lin, Seiya Imoto (2022 Aug). Genome-wide causal mediation analysis identifies genetic loci associated with uterine fibroids mediated by age at menarche. Human Reproduction. 37(9): 2197-2212. doi: 10.1093/humrep/deac136. (IF=6.353, Rank=4/31) Link
  6. An-Shun Tai, Pei-Hsuan Lin, Yen-Tsung Huang, and Sheng-Hsuan Lin* (2022). Path-specific effects in the presence of a survival outcome and causally ordered multiple mediators with application to genomic data. Statistical Methods in Medical Research. 31(10): 1916-1933. doi: 10.1177/09622802221104239 Link
  7. An-Shun Tai, Le-Hsuan Liao, and Sheng-Hsuan Lin* (2022). On the conventional definition of path-specific effects - fully mediated interaction with multiple ordered mediators. Epidemiology. 33(6): p 817-827. DOI: 10.1097/EDE.0000000000001520. Link
  8. An-Shun Tai, Chun-Chao Wang, and Wen-Ping Hsieh* (2022). Detection of cell separation–induced gene expression through a penalized deconvolution approach. Statistics in Biosciences. https://doi.org/10.1007/s12561-022-09344-8. Link
  9. An-Shun Tai and Sheng-Hsuan Lin* (2022). Identification and robust estimation of swapped direct and indirect effects: Mediation analysis with unmeasured mediator–outcome confounding and intermediate confounding. Statistics in Medicine. https://doi.org/10.1002/sim.9501. Link
  10. An-Shun Tai, Yi-Juan Du, and Sheng-Hsuan Lin* (2022). Robust inference on effects attributable to mediators: A controlled-direct-effect-based approach for causal effect decomposition with multiple mediators. Statistics in Medicine. https://doi.org/10.1002/sim.9329. Link
  11. An-Shun Tai, Yen-Tsung Huang, Hwai-I Yang, Lauren V. Lan, and Sheng-Hsuan Lin* (2022). G-computation to causal mediation analysis with sequential multiple mediators – investigating the vulnerable time window of HBV activity for the mechanism of HCV induced hepatocellular carcinoma. Frontiers in Public Health. doi: 10.3389/fpubh.2021.757942. Link
  12. An-Shun Tai and Sheng-Hsuan Lin* (2021). Integrated multiple mediation analysis: A robustness–specificity trade-off in causal structure. Statistics in Medicine. https://doi.org/10.1002/sim.9079. Link
  13. An-Shun Tai, Chun-An Tsai, and Sheng-Hsuan Lin* (2021). Survival mediation analysis with the death-truncated mediator: The completeness of the survival mediation parameter. Statistics in Medicine. https://doi.org/10.1002/sim.9008. Link
  14. An-Shun Tai, George C. Tseng, and Wen-Ping Hsieh* (2021). BayICE: A Bayesian hierarchical model for semi-reference-based deconvolution of bulk transcriptomic data. Annals of Applied Statistics. 15(1): 391 - 411. https://doi.org/10.1214/20-AOAS1376. Link R code
  15. An-Shun Tai, Chien-Hua Peng, Shih-Chi Peng, and Wen-Ping Hsieh (2018). Decomposing the subclonal structure of tumors with two-way mixture models on copy number aberrations. PLOS ONE. 13(12): e0206579. Link R code
• Papers in review or in revision:​
  1. An-Shun Tai*(2024+). Robust and flexible high-dimensional causal mediation model for DNA methylation studies. In preparation.
  2. An-Shun Tai* (2024+). Robust semiparametric estimation of average causal effects in Mendelian randomization under an intermediate variable intervention. In preparation.
  3. An-Shun Tai, Yu-Cheng Chu, and Sheng-Hsuan Lin* (2024+). Causal mediation analysis of non-mortality outcomes with follow-up truncated by death: Survivor natural direct and indirect effect. Revision in Journal of the Royal Statistical Society, Series C (Applied Statistics).

(B) Collaborative work

• Published or In press​:
  1. Pei-Shan Chien, Tzu-Jung Wong, An-Shun Tai, Yau-Huo Shr, Tsung Yu* (2024). Examining the causal association between moderate alcohol consumption and cardiovascular risk factors in the Taiwan Biobank: a Mendelian randomization analysis. Frontiers in Cardiovascular Medicine, 11, 1456777. Link
  2. Hyunman Sim, An-Shun Tai, Whanhee Lee, Woojoo Lee (2024). Sensitivity analysis for attributable fraction in the presence of unmeasured confounding. American Journal of Epidemiology. kwae409. Link
  3. Yi-Hsuan Lin, Chia-Hung Lin, Yu-Chih Lin, Yu-Yao Huang, An-Shun Tai, Shih-Chen Fu, Sheng-Hsuan Lin* (2024). Sodium-Glucose Cotransporter 2 Inhibitors Reduce the Risk of Hospitalization for Heart Failure and Amputation Rate Compared with Incretin-Based Therapy in Patients With Diabetic Foot Disease: A Nationwide Population-Based Study. Endocrine Practice, 30.5: 424-430 Link
  4. Jui-Hsiang Lin, An-Shun Tai, and Sheng-Hsuan Lin* (2022). Population Attributable Fraction based on sufficient causal framework for mediation settings.​ Annals of Epidemiology. 75:57-66. doi: 10.1016/j.annepidem.2022.08.050. Link
  5. Tzu-Yen Huang, Wing-Hei Viola, Feng-Yu Chiang, Che-Wei Wu, Shih-Chen Fu, An-Shun Tai, Yi-Chu Lin, Hsin-Yi Tseng, Ka-Wo Lee, Sheng-Hsuan Lin (2021). Correlation between Objective and Subjective High-Pitched Voice Impairment in Patients after Thyroid Surgery. Frontiers in Endocrinology. Link
  6. Tzu-Yen Huang, Wing-Hei V. Yu, Feng-Yu Chiang, Che-Wei Wu, Shih-Chen Fu, An-Shun Tai, Yi-Chu Lin, Hsin-Yi Tseng, Ka-Wo Lee, and Sheng-Hsuan Lin (2021). How the Severity and Mechanism of Recurrent Laryngeal Nerve Dysfunction during Monitored Thyroidectomy Impact on Postoperative Voice. Cancers 13, no. 21: 5379. Link
  7. Tanbin Rahman, Hsin-En Huang, Yujia Li, An-Shun Tai, Wen-Ping Hsieh, Colleen McClung, and George C. Tseng* (2022). A sparse negative binomial classifier with covariate adjustment for RNA-seq data. ​Annals of Applied Statistics. Link
  8. Yu-Hsuan Lin, Si-Yu Chen, Pei-Hsuan Lin, An-Shun Tai , Yuan-Chien Pan, Chang-En Hsieh, and Sheng-Hsuan Lin* (2020). Assessing User Retention of a Mobile App: Survival Analysis. JMIR Mhealth Uhealth. 2020;8(11):e16309. DOI: 10.2196/16309 Link
  9. Yen-Tsung Huang, An-Shun Tai, Meng-Ying Chou, Geng-Xian Lin, and Sheng-Hsuan Lin* (2020). Six‐way decomposition of causal effects: Unifying mediation and mechanistic interaction. Statistics in Medicine. 1– 18. Link
  10. Chien-Hua Peng, Chun-Ta Liao, Ka-Pou Ng, An-Shun Tai, Shih-Chi Peng, Jen-Pao Yeh, Shu-Jen Chen, Kuo-Chien Tsao, Tzu-Chen Yen, and Wen-Ping Hsieh (2015). Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma. Oncotarget, 6(23), 19891. Link
  11. Chien-Hua Peng, Yi-Zhi Jiang, An-Shun Tai, Chun-Bin Liu, Shih-Chi Peng, Chun-Ta Liao, Tzu-Chen Yen, and Wen-Ping Hsieh (2013). Causal inference of gene regulation with subnetwork assembly from genetical genomics data. Nucleic Acids Research. Link
• Papers in review or in revision:
  1. Jiwoong Yu and Chanhee Kim and Jaeseong Oh and An-Shun Tai and Woojoo Lee (2024+). On the robustness of truncated negative binomial regression model: application to field epidemiology. Submitted.
  2. Pei-Hsuan Hsia, An-Shun Tai, Chu-Lan Micheal Kao, Yu-Hsuan Lin, and Sheng-Hsuan Lin* (2024+). Causal Mediation Analysis for Difference-in-Difference Design and Panel Data.

(C) Other work

1. An-Shun Tai, Shih-Wen Lin, and Sheng-Hsuan Lin* (2020) Sample size calculations for the multiple mediation model (in Chinese). Journal of the Chinese Statistical Association. Vol. 58, 199–220. Link
2. An-Shun Tai, Yen-Tsung Huang, Wen-Chung Lee, and Sheng-Hsuan Lin* (2020) Conceptualizing agonistic interaction in a marginal sufficient component cause model: An alternative interpretation for subadditive interaction. Journal of the Chinese Statistical Association. Vol. 58, 168–198. Link
3. An-Shun Tai and Sheng-Hsuan Lin* (2022) Book review: “Fundamentals of Causal Inference With R” by Babette A. Brumback. Biometrics. Link