プロフィール詳細

プロジェクトを作成

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Dr. Dibato J.に依頼

Australia

Biostatistician with 9+ years of experience in clinical research - SAS, R, Python, STATA, SPSS, WinBUGS, Linux and HPC

プロフィール概要

I am a Biostatistician with research experience in diabetes, depression, cardiovascular diseases and clinical trials. Expert skills in Longitudinal data analysis, Survival analysis, Bayesian statistics, Data mining, Machine learning, Statistical modelling, Predictive modelling, Experimental design, Propensity score modelling, Clinical trials, Statistical Epidemiology, Bioinformatics, Interrupted Time Series, Meta-analysis, Network Meta-analysis, Electronic medical records and High-performance computing. Proficient in the following statistical software: SAS, R, Python, STATA, SPSS, WinBUGS, Latex and Linux.

専門分野

• ★ Biostatistics
• ★ Bioinformatics
• ★ Epidemiology
• ☆ Biochemistry
• ☆ Data Science
• ☆ Data Analysis
• ☆ Data Processing
• ☆ Data Exploration
• ☆ Data Visualization
• ☆ Big Data Analytics
• ☆ Data Mining
• ☆ Data Cleaning
• ☆ Applied Statistics
• ☆ Clinical Trials
• ☆ Cardiovascular Disease

サービス

• Data & AI

Data & AI Statistical Analysis, Data Visualization

職務経験

Clinical Bio-statistician | PhD

THE MELBOURNE EPICENTER, ROYAL MELBOURNE HOSPITAL, AUSTRALIA

10月 2018 - 現在

Researcher/ Biostatistician

GIGA Cardiovascular unit, University of Liege

11月 2016 - 12月 2018

Statiscal SAS Programmer

GlaxoSmithKline (GSK) Pharmaceuticals, Rixensart Brussels

12月 2015 - 9月 2016

学歴

PhD - Clinical Biostatistics

Melbourne University

8月 2018 - 7月 2023

Advanced Master in Statistical data analysis

University of Ghent

9月 2015 - 6月 2016

Master in Statistics, Biostatistics

University of Hasselt

10月 2013 - 9月 2015

認定資格

• 認定資格の詳細は未入力です。

出版物

JOURNAL ARTICLE

(2020). Temporal Trend in Young-Onset Type 2 Diabetes-the Macrovascular and Mortality Risk: Study of U.K. Primary Care Electronic Medical Records . Diabetes care.

(2018). Epicardial Adipose Tissue and Myocardial Fibrosis in Aortic Stenosis Relationship With Symptoms and Outcomes: A Study Using Cardiac Magnetic Resonance Imaging . Jacc. Cardiovascular Imaging.