Search: propensity scores — Academic Articles

Evaluating Uses of Deep Learning Methods for Causal Inference

Albert Whata, Charles Chimedza • IEEE Access (2022)

Logistic regression (LR) is a popular method that is used for estimating causal effects in observational studies using propensity scores. We examine the use of deep learning models such as the deep neural network (DNN), PropensityNet (PN), ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2021.3140189

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Poster 58. Preoperative Corticosteroid Injection History Does Not Influence Meniscal Allograft Transplantation Survivorship or Failure Rates

Vishal Sundaram, Isabella Jazrawi BA, Rushani K. Cameron MS, Cody Perskin et al. • Orthopaedic Journal of Sports Medicine (2026)

Objective: Meniscal allograft transplantation (MAT) is a joint-preserving option for patients with symptomatic meniscal deficiency unresponsive to nonoperative care. By restoring tibiofemoral load transmission, MAT can relieve pain, improve...

DOAJ Open Access (DOAJ) DOI: 10.1177/2325967126S00369

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Treatment Effect Estimation in Survival Analysis Using Copula-Based Deep Learning Models for Causal Inference

Jong-Min Kim • Axioms (2025)

This paper presents the use of Copula-based deep learning with Horvitz–Thompson (HT) weights and inverse probability of treatment weighting (IPTW) for estimating propensity scores in causal inference problems. This study compares the perfor...

DOAJ Open Access (DOAJ) DOI: 10.3390/axioms14060458

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Academic Articles & Research Papers

Evaluating Uses of Deep Learning Methods for Causal Inference

Poster 58. Preoperative Corticosteroid Injection History Does Not Influence Meniscal Allograft Transplantation Survivorship or Failure Rates

Treatment Effect Estimation in Survival Analysis Using Copula-Based Deep Learning Models for Causal Inference