1. Introduction:

    • Project led by Andrew, studying seasonality of kidney donation in the U.S.

    • Examining implications and reversal of donor decline.

  2. Background:

    • Observed decline in kidney donors.

    • No identified factors explaining/controling the decline.

  3. Objectives:

    • Investigate seasonality (hierarchical data) and factors (mixed effects) contributing to it in kidney donation.

  4. Methodology:

    • Revamp entire analysis using group-level and individual-level predictors.

    • This gives preliminary Stata and R code for the analysis.

    • Andrew may now trouble-shoot the code provided by GPT-4 and make necessary changes.

  5. Results:

    • Identification of summer surge in donations from 1990-2019. See back-of-the-envelope calculations.

  6. Discussion:

    • Entire paper now focusing on Seasons rather than months.

    • We have sufficient power to detect seasonality in kidney donation for related donors.

    • For unrelated donors the power is low, but we believe that the seasonality is there.

    • Remark: This is the first-ever identified modifiable factor for kidney donation.

  7. Current Status:

    • Andrew to reconcile last 3 seasons.docx commits in next commit.

    • We have decided on the final figures for the paper.

    • Every aspect of the analysis should be restricted to 1990-2019 data

  8. Next Steps:

    • Regressions including group-level and individual-level predictors coming…

  9. Remark:

  • Andrew will have to update his R script to accomodate issues raised in the revamped analysis.

  • Chapter 2 of this platform will be helpful in understanding the new approach.

  1. Version history:

  • Please don’t be afraid of making extensive comments to a version or even a mistake.

  • We can always revert to a previous version if needed :)