Grants

As Principle Investigator 

[1] General Research Fund (GRF), Research Grants Council (RGC), Hong Kong SAR. 

12/2023-11/2026: HK$877,079.

Statistical Learning for 2D Medical Images with Application to Ophthalmic Scans.


[2] General Research Fund (GRF), Research Grants Council (RGC), Hong Kong SAR. 

12/2019-11/2023: HK$502,444. 

Functional regressions with complicated data structures with application to the ADNI cohort.

NB: Co-I, Prof. Yehua Li, Department of Statistics, University of California, Riverside, USA.


[3] General Research Fund (GRF), Research Grants Council (RGC), Hong Kong SAR. 

12/2016-11/2019: HK$488,000.

Statistical inference for complex epigenetic survival outcomes analysis.

NB: Co-I, Prof. Xihong Lin, Department of Biostatistics, Harvard University, USA.


[4] 中國國家自然科學青年基金:两样本稀疏不平衡纵向数据的几个检验问题.

In English

National Natural Science Youth Foundation of China (NSFC), China.

01/2015-12/2017, RMB$220,000. 

Several testing problems for two-sample irregular and sparse longitudinal data.


[5] General Research Fund (GRF), Research Grants Council (RGC), Hong Kong SAR.

12/2011-03/2015: HK$568,195. 

Rank-based procedures for comparison of multivariate longitudinal data in biomedical studies.

NB: Co-I, Dr. Aiyi Liu, Biostatistics & Bioinformatics Branch, NICHD/NIH, USA.

As Co-Investigator

[6] FHB and Health and Medical Research Fund subsidies COVID-19 research (Batch 3), HKSAR.

11/2021-10/2025: HK$27,605,783.00.

A Community-based participatory research approach to reduce the COVID-19 risk in Hong Kong: developing and testing social and behavioural interventions (Ref. COVID1903006).  

Sub-theme: An educational intervention using a virtual reality game to improve compliance with coronavirus 2019 disease-related hygiene practices and participation in severe acute respiratory syndrome virus 2 (SARS-CoV-2) screening, for the prevention of SARS-CoV-2 transmission between primary school children in communities: a large-scale stratified cluster-randomised controlled trial

 (Ref: COVID1903006-E)  Sub-theme account: HK$5,436,300. (My subaccount: HK$645,900).

NB: PI, Prof. Alex Molasiotis, School of Nursing, PolyU, HK;

     Co-PI, Dr. Polly Leung, Department of Health Technology and Informatics, PolyU, HK.


[7] 中國國家自然科學基金. 基于高维医疗影像和复杂相依生存数据的统计分析与推断

In English

National Natural Science Foundation of China (NSFC), China. 

01/2023-12/2026, RMB$580,000. (My subaccount: 25%).

Statistical analysis and inference for high-dimensional medical imagine and complex correlated survival data.

NB: PI, Prof. Chunjie Wang, School of Mathematics and Statistics, Changchun University of Science and Technology, China.


[8] Health and Medical Research Fund (HMRF), Research Council, Food and Health Bureau, HKSAR.

12/2021-08/2024: HK$1,388,028.

Randomized control trial on the efficacy of a smartphone application (Glaucomapp) on monitoring and promoting disease awareness and medication adherence on Chinese glaucoma patients

NB: PI, Dr. Bonnie N.K. Choy, Department of Ophthalmology, The University of Hong Kong.


[9] Health and Medical Research Fund (HMRF), Research Council, Food and Health Bureau, HKSAR.

05/2015-04/2017: HK$890,840.

Randomized control trial on the effectiveness of collagen cross-linking on bullous keratopathy.

NB: PI, Dr. Bonnie N.K. Choy, Department of Ophthalmology, The University of Hong Kong.


[10] Health and Medical Research Fund (HMRF), Research Council, Food and Health Bureau, HKSAR.

11/2014-11/2017: HK$937,976.

Randomized control trial on the neuroprotective effects of oral Wolfberry supplement in the treatment of normal tension glaucoma.

NB: PI, Prof. Jimmy S.M. Lai, Department of Ophthalmology, The University of Hong Kong.


*Remark:  (My role in medical research: I am the sole statistician, taking charge of statistical design, sample size calculation, defence of peer-review report for the proposal, and statistical analysis in project reports.)

 Pending (As PI)

[12] Health and Medical Research Fund (HMRF) 2022

04/2024-03/2027: HK$1,392,000 (submitted in March 2023)

A prospective longitudinal observational study on newly diagnosed ADHD children through fMRI neuroimage outcomes.