Speeding up the exploratory data analysis process using flexible automation and consistent reporting allows analysts to deliver analyses quickly while ensuring precise, accurate results. In most ...

Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...

Exploratory analysis of clinical trials can help generate valuable new hypotheses and provide important clinical insights, but they also carry risks of false-positive and over-interpretation of ...

Here we report the exploratory analyses of clinical outcomes collected in the MAD and LTE periods of the BIIB080 phase 1b study. Recognizing that the study was not powered for the statistical ...