Biostatistics
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.
Training Calendar
Feb / - Normal Group (7-10 participants)
May / - Normal Group (7-10 participants)
October / - Normal Group (7-10 participants)
2023
REVIEWS
EXPERIENCED TRAINERS
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
Ferhat Citak
Source - Home Page
COMPLETE GUIDE TO MODELING
Excellent Training
Gabriel
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FULLY-FLEDGED TRAINING
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.
George
Source - Home Page
Learning by "Researching" TM
Live Training
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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)
Extra benefits:
- Certified certificate after completing the training and 10% permanent discount on all events, workshops, and webinars.
- Trainees become eligible to submit their papers at MSR working paper series (SSRN and RePEc indexed).
Training content is systematic and structured as follows:
1. Survival Analysis
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- What is survival analysis?
- Hazard function and Hazard ratios
- Proportional Hazard Assumptions
- Parametric and semi-parametric Hazard Models
- Cox Proportional Hazard Model
- Drawing Kaplan Meier Curves in R and STATA
- Log-rank test in R and STATA
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Building a cox proportional model in STATA (6 Hours)
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Testing model assumptions
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Bivariate and Multivariate survival analysis
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Testing model fit
2. Design of Clinical Trails
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What are Randomized Controlled Trials?
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Scientific Principles of RCTs
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Justification of RCTs
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Ethical principles of RCTs
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Importance and Indication of RCTs
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Types of RCTs and application
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Designing and Monitoring of RCTs
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Analysis of RCTs
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Implementation Science Experimental Designs
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Stepped Wedge Trial
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Factorial Trial
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Multiphase Optimization Strategy Implementation Trial (MOST) Trial
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3.
