Biostatistics is a work-kit of tools and methods to collect, analyze, and interpret biological data and especially data relating to medicine. These methods allow you to quantify the uncertainty associated with simulation models, which are used to forecast the spread of infection/efficiency of a new medicine/significance of a particular human gene in a diseases control, etc. With the upsurge of Covid 19, the role of Biostatisticians in the response to the crisis is magnifying, ranging from mathematical and statistical modeling, over day-to-day monitoring, to scientific and government committee policymaking.
M&S Research Hub organizes comprehensive structured training for researchers, graduate students, practitioners, and scientists at all proficiency levels to teach foundations on biostatistical methods and the design of clinical trials and survival analysis. Similarly, the training will establish statistical and econometric techniques (and commands) to secure the correct implementation of interventions, and the assessment of their results.
Feb / - Normal Group (7-10 participants)
May / - Normal Group (7-10 participants)
October / - Normal Group (7-10 participants)
It was excellent training for me. I think Dr. Arhsian is the best in his field. He is a well-qualified person. I will recommend this institute for all my colleagues if they need it
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After finishing the first module, I decided to to do all modules because the first one has opened my mind, because here in Zambia there is no university or college where they offer as full program they way you offer it, it only comes as a course to those who are doing economics.
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Biostatistics - Design of Randomized Clinical Trials & Survival Analysis
A fully-fledged intensive training on the fundamentals of biostatistics for econometric modeling and data analysis using STATA.
Duration: Approx. 20 Hours
Training Mode: Normal group (7-10 trainees), small group (2-5 trainees), and one-to-one
Prerequisites: Basic understanding of quantitative analysis such as hypothesis testing, correlation analysis, graphical and numerical summaries.
Platform: online (Zoom)
Training content is systematic and structured as follows:
1. Survival Analysis
Building a cox proportional model in STATA (6 Hours)
Testing model assumptions
Bivariate and Multivariate survival analysis
Testing model fit
2. Design of Clinical Trails
What are Randomized Controlled Trials?
Scientific Principles of RCTs
Justification of RCTs
Ethical principles of RCTs
Importance and Indication of RCTs
Types of RCTs and application
Designing and Monitoring of RCTs
Analysis of RCTs
Implementation Science Experimental Designs
Stepped Wedge Trial
Multiphase Optimization Strategy Implementation Trial (MOST) Trial