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.
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