YoVDO

Multiple Testing Methods for Low and High-Dimensional Testing Problems in Biomedical Research

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Hypothesis Testing Courses Clinical Trials Courses Statistical Inference Courses Biomedical Research Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore multiple testing methods for low and high-dimensional testing problems in biomedical research through this 28-minute conference talk by Saharon Rosset at the Computational Genomics Summer Institute (CGSI) 2023. Delve into hypothesis testing, null hypotheses, optimization problems, and power analysis. Examine real-world examples and solutions related to clinical trials and statistical methodologies. Gain insights from related papers discussing optimal procedures for multiple testing, false discovery criteria control, and inference with approximate local false discovery rates. Enhance your understanding of advanced statistical techniques applied to genomics and biomedical research.

Syllabus

Introduction
Hypothesis Testing
Null Hypothesis
Optimization Problem
Power
Examples
Solution


Taught by

Computational Genomics Summer Institute CGSI

Related Courses

Vaccine Trials: Methods and Best Practices
Johns Hopkins University via Coursera
Fundamentals of Clinical Trials
Harvard University via edX
Vaccinology
CNAM via France Université Numerique
Health Technology Assessment: Choosing Which Treatments Get Funded
The University of Sheffield via FutureLearn
Introduction to Applied Biostatistics: Statistics for Medical Research
Osaka University via edX