ArticleThe econometrics journal2021
Double/debiased machine learning for logistic partially linear model.
Article in The econometrics journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 23 citations in OpenAlex.
- The spatial and contextual exposome and subtypes of hypertensive disorders of pregnancy: a double machine learning-based analysis.Exposome · 2026Article
- Doubly Robust Augmented Model Accuracy Transfer Inference with High Dimensional Features.Journal of the American Statistical Association · 2025Article
- Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response.Journal of machine learning research : JMLR · 2025Article
- Robust double machine learning model with application to omics data.BMC bioinformatics · 2024Article
- Semisupervised transfer learning for evaluation of model classification performance.Biometrics · 2024Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
We propose double/debiased machine learning approaches to infer a parametric component of a logistic partially linear model. Our framework is based on a Neyman orthogonal score equation consisting of two nuisance models for the nonparametric component of the logistic model and conditional mean of the exposure with the control group. To estimate the nuisance models, we separately consider the use of high dimensional (HD) sparse regression and (nonparametric) machine learning (ML) methods. In the HD case, we derive certain moment equations to calibrate the first order bias of the nuisance models, which preserves the model double robustness property. In the ML case, we handle the nonlinearity of the logit link through a novel and easy-to-implement 'full model refitting' procedure. We evaluate our methods through simulation and apply them in assessing the effect of the emergency contraceptive pill on early gestation and new births based on a 2008 policy reform in Chile.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.