Publications
Noble C, Medin D, Quail Z, Young C, Carter M. How Does Participation in Formal Education or Learning for Older People Affect Wellbeing and Cognition? A Systematic Literature Review and Meta-Analysis. Gerontol Geriatr Med. 2021 Jan 7;7:2333721420986027. doi: 10.1177/2333721420986027. PMID: 33457462; PMCID: PMC7797596. Available from:
https://journals.sagepub.com/doi/10.1177/2333721420986027
Andjelka Scepanovic, Slavica Vujovic, Darko Medin. Upper body subcutaneous adipose as a potential predictor for type 2 diabetes mellitus. Progr Nutr [Internet]. 2019 Sep. 18 [cited 2024 Mar. 27];21(3):591-7. Available from:
https://mattioli1885journals.com/index.php/progressinnutrition/article/view/8527
Anthropometric and metabolic parameters in relation to high sensitivity C-reactive protein in Montenegrin population with type 2 diabetes: CRP in type 2 diabetes. Progr Nutr [Internet]. 2019 Jun. 5 [cited 2024 Mar. 27];21(2):406-12. Available from:
https://mattioli1885journals.com/index.php/progressinnutrition/article/view/8280
Klisic, Aleksandra & Kavaric, Nebojsa & Jovanovic, Milovan & Zvrko, Elvir & Skerovic, Verica & Scepanovic, Andjelka & Medin, Darko & Ninic, Ana. (2017). Association between unfavorable lipid profile and glycemic control in patients with type 2 diabetes mellitus. Journal of Research in Medical Sciences : The Official Journal of Isfahan University of Medical Sciences. 22. 10.4103/jrms.JRMS_284_17. Available from:
Master thesis : Anthropometic and Biochemical parameters of type 2 Diabetes subjects in Montenegro
Tutorials / Articles
Meta-Analysis in R (RStudio) part I
https://www.linkedin.com/pulse/meta-analysis-r-rstudio-part-i-darko-medin/
Meta-Analysis in R part 2. Adding Fixed, Random effect tests and Prediction intervals using 'meta' library
https://www.linkedin.com/pulse/meta-analysis-r-part-2-adding-fixed-random-effect-tests-darko-medin/
Meta-analysis in R. Relative risk pooling using 'meta' and Advanced Esthetics (Meta, JAMA and Revman5) standards
Meta-analysis in R part 4. Adding the code for Publication Bias analysis, Sensitivity analysis and the Subgroup analysis using the 'meta' package
https://www.linkedin.com/pulse/meta-analysis-r-part-4-adding-code-publication-bias-analysis-medin/
Meta-analysis part 5: Meta-regression in and Moderators R. In this tutorial i show how to code the Meta-regression analysis in R and intepret the results. Further, one of the main topics is constructing the bubble meta-regression plots for research publications.
Estimand framework in Clinical Trial Biostatistics. Edition 1 - Orientation and intercurrent event strategies. This is extremely important in today's Biostatistics. Many regulatory bodies such as FDA include estimand framework within their documents and these are an effective systematic descriptions for standardizing the treatment effect estimation and interpretation.
Estimands II – A Cardiology study exemplar case The Treatment policy based estimand. In this article i explain how to design the Cardiology specific estimands for Clinical trials.
Here you may find my tutorial article with explanations on the Differential Gene expression area : https://medium.com/@darkomedin-datascience/oncology-bioinformatics-project-tutorial-differential-gene-expression-and-biomarker-discovery-d3ac07db5652
Github codes :
1.cancerclassifier_L
https://github.com/DarkoMedin/cancerclassifier_L
2.Metaregression_R
https://github.com/DarkoMedin/Metaregression_R
3.multiarmsample
https://github.com/DarkoMedin/multiarmsample
4. Oncology---RNAseq-Differential-Expression-Bioinformatics
https://github.com/DarkoMedin/Oncology---RNAseq-Differential-Expression-Bioinformatics
5. Adenovirus_bioinformatics_hc
https://github.com/DarkoMedin/Adenovirus_bioinformatics_hc
6. Bayesian-Regression-using-World-Bank-SPI-data
7. Hierarchical-clustering---Codon-usage-Mammals
https://github.com/DarkoMedin/Hierarchical-clustering---Codon-usage-Mammals