CAMIS is a PHUSE working group whose goal is to find several discrepancies between statistical analysis methods using various software. The speaker intends to delve into the fundamentals of Principal Component Analysis (PCA) and its applications using R. In the pharmaceutical and Healthcare Industry, the vast amount of patient data poses a significant challenge for researchers and clinicians seeking to identify meaningful patterns and relations among the variables. PCA provides an effective approach by reducing dimensionality and uncovering underlying structures in complex datasets.
Samrit Pramanik
Genpact
PCA in R: A CAMIS Working Group Initiative in Pharma
CAMIS is a PHUSE working group whose goal is to find several discrepancies between statistical analysis methods using various software. The speaker intends to delve into the fundamentals of Principal Component Analysis (PCA) and its applications using R. In the pharmaceutical and Healthcare Industry, the vast amount of patient data poses a significant challenge for researchers and clinicians seeking to identify meaningful patterns and relations among the variables. PCA provides an effective approach by reducing dimensionality and uncovering underlying structures in complex datasets.