Assumption-lean inference for generalised linear model parameters

15 June 2020

Papers citing "Assumption-lean inference for generalised linear model parameters"

16 / 16 papers shown

Title
Debiasing Synthetic Data Generated by Deep Generative Models A. Decruyenaere Heidelinde Dehaene Paloma Rabaey Christiaan Polet Johan Decruyenaere Thomas Demeester S. Vansteelandt AI4CE 31 0 0 06 Nov 2024
Assumption-Lean Post-Integrated Inference with Negative Control Outcomes Jin-Hong Du Kathryn Roeder Larry Wasserman 39 1 0 07 Oct 2024
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments Axel Martin Michele Santacatterina Iván Díaz 24 1 0 27 Sep 2024
Substitute adjustment via recovery of latent variables Jeffrey Adams Niels Richard Hansen CML 24 1 0 01 Mar 2024
On the role of parametrization in models with a misspecified nuisance component Heather Battey Nancy Reid 16 0 0 08 Feb 2024
Optimally weighted average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt CML 26 2 0 10 Aug 2023
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data Elliot H. Young Rajen Dinesh Shah 24 1 0 21 Jul 2023
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift Hongxiang Qiu E. T. Tchetgen Edgar Dobriban OOD 15 7 0 28 Jun 2023
Semiparametric posterior corrections Andrew Yiu Edwin Fong Chris Holmes Judith Rousseau 41 3 0 09 Jun 2023
Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models Naoki Egami Musashi Jacobs-Harukawa Brandon M Stewart Hanying Wei 24 14 0 07 Jun 2023
Semiparametric efficient estimation of genetic relatedness with machine learning methods Xu Guo Yiyuan Qian Hongwei Shi Weichao Yang Niwen Zhou 19 0 0 04 Apr 2023
Nonparametric Estimation of Conditional Incremental Effects Alec McClean Zach Branson Edward H. Kennedy CML 18 8 0 07 Dec 2022
Combinatorial Causal Bandits Shi Feng Wei Chen CML 19 13 0 04 Jun 2022
Parameterising the effect of a continuous exposure using average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt 14 10 0 27 Sep 2021
Demystifying statistical learning based on efficient influence functions Oliver Hines O. Dukes Karla Diaz-Ordaz S. Vansteelandt TDI 19 110 0 01 Jul 2021
Estimating heterogeneous treatment effects with right-censored data via causal survival forests Yifan Cui Michael R. Kosorok Erik Sverdrup Stefan Wager Ruoqing Zhu CML 22 67 0 27 Jan 2020