Article

Inverse probability weighted estimation of dynamic treatment regimen means in sequential multiple assignment randomised trials with missing data: a simulation study

2025-09-16

Abstract excerpt

<title>Abstract</title> <p>Background Dynamic treatment regimens (DTRs) guide personalised sequential treatment decisions for patients with chronic or progressive conditions. Sequential multiple assignment randomised trials (SMARTs) are designed to evaluate and optimise DTRs by randomising participants at multiple stages based on intermediate outcomes. To identify optimal DTRs in SMARTs, the mean outcome of each...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0d725741-3fb8-51e0-948a-82aec4dc0d05
DOI: 10.21203/rs.3.rs-7419071/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Inverse probability weighted estimation of dynamic treatment regimen means in sequential multiple assignment randomised trials with missing data: a simulation studyDOI 10.21203/rs.3.rs-7419071/v1Read

Design characteristics of Sequential Multiple Assignment Randomized Trials (SMARTs) for human health: a scoping review of studies between 2009-2024Semantic proximity Read

A general framework for using two-stage meta-analysis with individual participant data to predict individualized treatment effectsSemantic proximity Read

A Sequential Multiple Assignment Randomized Trial Design with Response-Adaptive Tailoring FunctionSemantic proximity Read

Dealing with Missing Data in Real-World Data: A Scoping Review of Simulation StudiesSemantic proximity Read

A Compound Model of Multiple Treatment Selection with Applications to Marginal Structural ModelingSemantic proximity Read

Simulation and minimization: Technical advances for factorial experiments designed to optimize clinical interventionsSemantic proximity Read

Multiple Imputation Approaches for Missing Time-to-Event Outcomes with Informative Censoring: Practical Considerations from a Simulation Study Based on Real DataSemantic proximity Read

A Comparative Study of Methods for Handling Missing Data in Longitudinal Data with Implications for Causal InferenceSemantic proximity Read

On Small-Sample Inference in Multiphase Stepped Wedge Cluster Randomized Trial (MSW-CRT) With Binary OutcomesSemantic proximity Read

Statistical Considerations for the Design and Analysis of Pragmatic Trials in Aging ResearchSemantic proximity Read

Application of Propensity Score Methods to Address Missing Data in a Trial on the Effect of Energy Protein Supplementation Among Pulmonary TB-HIV Patients in Mwanza, TanzaniaSemantic proximity Read

Examining the Feasibility and Functionality of Common Analysis Methods for Longitudinal Data with Binary OutcomesSemantic proximity Read