Unlock the secrets of crafting impactful literature reviews in this interactive online workshop for graduate students. Discover how to synthesize existing research succinctly while maintaining your own critical perspective and voice.

Using accessible platforms like Google Colab, participants will learn to apply AI tools that enhance diagnostic accuracy, personalize treatments, and ultimately improve patient outcomes. This is a must-attend session for healthcare professionals and data scientists eager to address the growing demand for innovative healthcare solutions through AI.

This session will introduce participants to the Analysis of Variance (ANOVA), a statistical method used for comparing the means of three or more groups. The concept of blocking will also be introduced to reduce noise and isolate sources of variation.

By the end of the session, participants should be able to use ANOVA for multi-treatment analysis, implement blocking in experimental design, calculate the F statistic for assessing significance, and appreciate how blocking can improve the efficiency of a study.