Joint Modeling of Biomarker History Data and Survival Events

I built a Bayesian joint model to demonstrate the impact of calcineurin inhibitors variability on the long-term survival outcomes for patients with kidney transplantation.

By Li Ge in Survival Analysis Stan

August 23, 2020

slides

Rotation advisor: Lu Mao, PhD.

In collaboration with: Beini Lyu, PhD & Brad Astor, PhD, MPH.

Motivation

  • Patients with kidney transplantation need to take immunosuppressive therapy medication regularly.
  • Commonly used drugs are calcineurin inhibitors (CNI), e.g., tacrolimus and cyclosporine.
  • The therapeutic level for tacrolimus is 10-15ng/mL for the first 6 weeks after transplantation, and 5- 10 ng/ml thereafter.
  • Is poor adherence associated with poor survival outcomes?

Results

  • Higher CNI variability is indeed associated with poorer survival outcome.

Sampled Posterior Distribution of Unadjusted Model Sampled Posterior Distribution of Adjusted Model

Methods

We use Stan to build a Bayesian joint model of longitudinal and survival data.

Posted on:
August 23, 2020
Length:
1 minute read, 92 words
Categories:
Survival Analysis Stan
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