New methods for treatment effect calibration, with applications to non-inferiority trials

DOI10.1111/BIOM.12388zbMath1393.62112OpenAlexW2140140397WikidataQ40545878 ScholiaQ40545878MaRDI QIDQ2805173

Zhiwei Zhang, Guoxing Soon, Zonghui Hu, Lei Nie

Publication date: 10 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12388

zbMATH Keywords

active controldouble robustnesscovariate adjustmentstructural nested modelindirect comparisonconditional constancy

Mathematics Subject Classification ID

Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Efficient, doubly robust estimation of the effect of dose switching for switchers in a randomized clinical trial ⋮ The statistical performance of matching-adjusted indirect comparisons: estimating treatment effects with aggregate external control data

Cites Work

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• On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects
• Causal Inference with Generalized Structural Mean Models
• Correcting for non-compliance in randomized trials using structural nested mean models
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates

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