Daniel Smith
Position: Affiliated Researcher School/office: School of Medical SciencesEmail: ZGFuaWVsLnNtaXRoO29ydS5zZQ==
Phone: No number available
Room: -
About Daniel Smith
I am a statistician with many years' experience analysing biological data. Expertise in a wide range of statistical methodologies such as generalized linear models, mixed effects models, generalized adative models, distributed lag models, time series, survival analysis and meta-analysis. Experienced in predictive analytics using machine learning e.g. random forests, neural networks, and statistical models e.g. logistic regression. I mainly use R and SAS.
Publications
Articles in journals
- Sharif, A. , Smith, D. R. , Hellgren, K. & Jendle, J. (2024). Diabetic retinopathy among the elderly with type 2 diabetes: A Nationwide longitudinal registry study. Acta Ophthalmologica.
- Digkas, E. , Smith, D. , Wennstig, A. , Matikas, A. , Tegnelius, E. & Valachis, A. (2024). Incidence and risk factors of hypothyroidism after treatment for early breast cancer: a population-based cohort study. Breast Cancer Research and Treatment, 204, 79-87.
- Garcia Pereira Filho, A. J. , Sartipy, F. , Wahlberg, E. , Smith, D. & Sigvant, B. (2024). Number of Diseased Ankle Arteries is Related to Long Term Cardiovascular Risk: a Possible Tool for Improved Risk Stratification. European Journal of Vascular and Endovascular Surgery, 67 (1), 171-172.
- Strell, C. , Smith, D. , Valachis, A. , Woldeyesus, H. , Wadsten, C. , Micke, P. , Fredriksson, I. & Schiza, A. (2024). Use of beta-blockers in patients with ductal carcinoma in situ and risk of invasive breast cancer recurrence: a Swedish retrospective cohort study. Breast Cancer Research and Treatment.
Chapters in books
- Hardy, I. C. W. & Smith, D. (2023). Statistical Approaches. In: Ian C.W. Hardy; Eric Wajnberg, Jervis's Insects as Natural Enemies: Practical Perspectives (pp. 705-741). . Springer Nature.
Doctoral theses, monographs
- Smith, D. (2009). Soil respiration in a fire scar chronosequence of Canadian boreal jack pine forest. (Doctoral dissertation). University of Leicester.