Author: Admin Statscure

SurvHiDim — High dimensional time to events data analysis with variable selection techniques.

We created this amazing R package to analyze high-dimensional time-to-events data. Thanks to machine learning we now know various variable selection techniques. Thus using Python and R we can implement variable sections easily. Most of the time the outcome variable types are dichotomous and continuous. Principle component analysis, factor analysis, LASSO, and ridge regression are

Read More

Beyond the P-Value: Interpreting Clinical Trials with Failed Outcomes – By Akash Pawar

The article “The Primary Outcome Fails — What Next?” published in the New England Journal of Medicine provides critical insights for clinical researchers and biostatisticians regarding the interpretation of clinical trial results, particularly when primary outcomes do not achieve statistical significance. This blog post will break down the article’s key sections, offering examples and explanations relevant to

Read More