Personal profile
Biography
Amir is Associate Professor of Biostatistics at the School of Medicine, University of Limerick. His recent research focuses on the use of Statistical Modelling & Machine Learning in cancer research, and developing risk prediction models to facilitate clinical decision-making. He is passionate about communicating statistical findings in biomedical research, and developed R packages and tools (e.g DynNom package in R) to support the use of statistical models for individual prognosis and diagnosis purposes.
Amir is the secretary of the Young Statisticians Section of the Irish Statistical Association (Young-ISA), and the editorial board of Young Statisticians Europe (YSE).
Academic Qualifications:
PhD in Biostatistics, National University of Ireland, Galway
MSc. in Mathematical Statistics, University of Tehran
BSc. in Statistics, University of Tehran
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Evaluating the Neutrophil-Lymphocyte Ratio as a Predictor of Long-Term Oncological and Survival Outcomes in Patients Treated Surgically for Breast Cancer
Jaffer, A. A., Cullinane, C., Davey, M. G., Jalali, A., Buckley, J., Baban, C., Merrigan, B. A. & Tormey, S., Feb 2026, In: Clinical Breast Cancer. 26, 2, p. 136-145.e2Research output: Contribution to journal › Article › peer-review
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Clinical impact of MRI-based risk calculators for prostate cancer diagnosis: a systematic review and meta-analysis
Courtney O’Toole, C., Boakye, N. F., Hannigan, A. & Jalali, A., 2025, (Accepted/In press) In: Prostate Cancer and Prostatic Diseases.Research output: Contribution to journal › Review article › peer-review
Open Access -
Comparing logistic regression and machine learning for obesity risk prediction: A systematic review and meta-analysis
Boakye, N. F., O'Toole, C. C., Jalali, A. & Hannigan, A., Jul 2025, In: International Journal of Medical Informatics. 199, 105887.Research output: Contribution to journal › Review article › peer-review
Open Access -
Regression Analysis Through Illustrations
Jalali, A. & Sharma, S. K., 9 Dec 2025, Biostatistical Methods and Applications in Health Research: A Case Study Approach. Taylor and Francis, p. 119-144 26 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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An Exploratory Study of Capacity Assessment in Medical Practice in Ireland
Spain, E., Davidson, H., O’Donnell, P., Jalali, A., McKittrick, S. & Leo, R., 2024, In: European Journal of Health Law. 31, 5, p. 518-535 18 p.Research output: Contribution to journal › Article › peer-review