Designed, Programmed, & Maintained by Balaji S Rao
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Experimental Design, Power Analysis & Randomization Training | Biostatistics & Omics Study Design
Design bias-resistant biomedical and omics studies with correct endpoints, effect sizes, power and randomization schemes. Learn sample size calculation, blocking, stratification and allocation strategies in R & Python, validated through simulation-based workflows.
NTHRYS >> Services >> Academic Services >> Training Programs >> Bioinformatics Training >> Biostatistics, AI/ML & Reproducible Omics Analytics
Experimental Design, Power Analysis & Randomization — Hands-on
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