---
title: >-
  Standard error estimation for transported effects in sequential nested trial
  emulations using M-estimation
description: Catie Wiener · with Chase Latour, Jeanny Wang, Paul Zivich, Alan Brookhart
date: '2026-09-02'
category: Events
canonical_url: https://www.pedestalhealth.com/resources/events/other/ispe-2026-poster-c-350/
source: Pedestal Health
license: © 2026 Pedestal Health. All rights reserved.
slug: ispe-2026-poster-c-350
id: 3RTghru1CuFyX13wsHCc1I
contentType: article
---

Poster · C-350 · Wed 2 Sep · 12:00–1:30 PM CEST

# Standard errors for transported effects, without the bootstrap.

A methods poster on standard-error estimation for sequential nested trial emulation with transportability.


![ISPE 2026 event hero background](https://images.ctfassets.net/h4s3ip99qawo/1eizKn9Q3Fv3qgv7EmEdaM/a22337a6d457b68216faa2ece6690757/ispe-2026-event-background.png?w=1920&fm=webp&q=75)

## Inference for transported real-world effects.

Sequential nested trial emulation reduces immortal-time bias, but it complicates standard-error estimation, especially once you transport the estimate to a target population. The common fix, nonparametric bootstrap, can be computationally heavy.

This poster examines M-estimation as an alternative approach to standard-error estimation in that setting. It is a methods talk for teams doing transportability and target-trial-emulation work.

- Methods and simulation study
- Topic: standard errors for transported effects
- M-estimation as an alternative to the bootstrap

Citation

Wiener C, Latour C, Wang J, Zivich P, Brookhart A. Standard error estimation for transported effects in sequential nested trial emulations using M-estimation. Poster C-350, 42nd ISPE Annual Meeting; August 29–September 2, 2026; Milan, Italy.

## Schedule a meeting

Tell us what you're working on and we'll hold a time to talk at Booth 300.



By submitting, you consent to Pedestal Health contacting you about this request and related work.

*Interactive embed: Pardot Form.*

