---
title: When can we ignore informative censoring?
description: Nuvan Rathnayaka · with Alan Brookhart, Kathleen Hurwitz
date: '2026-08-31'
category: Events
canonical_url: https://www.headwaterscience.com/resources/events/other/ispe-2026-podium-2a-02/
source: Headwater Science
license: © 2026 Headwater Science. All rights reserved.
slug: ispe-2026-podium-2a-02
id: 6pROKjMSEbzhAavZfZY5Vh
contentType: article
---

Podium · 2A-02 · Mon 31 Aug · 3:45–4:00 PM CEST

# When can you ignore informative censoring?

A simulation study on when adjusting for informative censoring changes your estimate, and when it may not be worth the trade.


![ISPE 2026 event hero background](https://images.ctfassets.net/fea4lj2cdgl5/7I2tVYn8fivb9Cd2IBEk48/a0c18a6f721a2264369580e73aab9aa0/ispe-2026-event-background.png?w=1920&fm=webp&q=75)

## A practical question in time-to-event analysis.

Informative censoring is common in pharmacoepidemiology, and inverse probability of censoring weighting (IPCW) is the usual correction, though it comes with a variance cost. When the correction is worth making is not always obvious.

This podium presentation uses simulation to look at how the censoring rate relates to whether adjustment meaningfully changes the estimate. It is a methods talk for anyone making design and analysis choices in time-to-event real-world studies.

- Simulation study of informative censoring and IPCW
- Focus: when adjustment changes the estimate
- For RWE methods and biostatistics teams

Citation

Rathnayaka N, Brookhart A, Hurwitz K. When can we ignore informative censoring? Podium 2A-02, 42nd ISPE Annual Meeting; August 29–September 2, 2026; Milan, Italy.

## Schedule a meeting

Share your focus and a preferred day or time in the comments, and we will confirm a slot.

*Interactive embed: Pardot Form.*