Incremental Area Under the Curve (iAUC)

This video demonstrates the steps involved in determining the Total Area Under the Curve (AUC) using Trapezoidal's rule, within RStudio, along with Positive Incremental Area Under the Curve and Net Incremental Area Under the Curve.
Script used in the video can be downloaded from: github.com/sea....
The following link demonstrates script for the iAUC Cut and Min methods: • Incremental Area Under... .

[@shreshthaawasthi3135]

Thank you very much

[@LaceyMathsStatsConsultancy]

Big shout out to my niece Ciara for designing the thumbnail to this video … thank you!

[@amanda_dela]

thank you

[@capricovino1]

Hi thanks for this - is there a shareable r script with the code for the incremental and net area under the curve that you show in the video?

[@LaceyMathsStatsConsultancy]

No problem. Script can be copied from the following link: drive.google.com/drive/folders/1wvHXV-_ZPFTjTCy5FP2SgGGLBni1i_mD?usp=sharing

[@hector2075]

Great video! Do you happen to have this code in python as well?

[@LaceyMathsStatsConsultancy]

Thanks for the feedback. Unfortunately, I have not replicated this script in Python yet. I'll add this to the to-do list.

[@AI_TV150]

If I have more than 100 samples, Should I calculate mean for each time point Or togetherly I will take all samples for Positive Incremental AUC Analysis?

[@LaceyMathsStatsConsultancy]

I would generally work out the AUC for each individual sample.

[@AI_TV150]

@@LaceyMathsStatsConsultancy so If we will do for each single sample then by using all values we will perform statistical test then?

[@LaceyMathsStatsConsultancy]

@user-pm8gz3jr1w Yes ... you set up a for loop to calculate each AUC for each sample, then create a dataframe mapping each sample to corresponding AUC.

[@AI_TV150]

@@LaceyMathsStatsConsultancy thank you sir for your assistance

[@AI_TV150]

Sir how I will create a Loop for this analysis can You please tell me. Like I will fix something in Loop take one by one sample sets for calculations of AUC?