Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note

Causal inference with marginal structural modeling for longitudinal data in laparoscopic surgery: A technical note

Causal inference prevails in the field of laparoscopic surgery. Once the causality between an intervention and outcome is established, the intervention can be applied to a target population to improve clinical outcomes. In many clinical scenarios, interventions are applied longitudinally in response...

Full description

Bibliographic Details
Main Authors:	Zhongheng Zhang, Peng Jin, Menglin Feng, Jie Yang, Jiajie Huang, Lin Chen, Ping Xu, Jian Sun, Caibao Hu, Yucai Hong
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2022-12-01
Series:	Laparoscopic, Endoscopic and Robotic Surgery
Subjects:	Causal inference Laparoscopic surgery Machine learning Marginal structural modeling
Online Access:	http://www.sciencedirect.com/science/article/pii/S246890092200072X

Similar Items

Causal ML: Python package for causal inference machine learning
by: Yang Zhao, et al.
Published: (2023-02-01)

Erosion and marginalization in Pahuatlán municipality, Puebla: A binomial of causality?
by: Rosalía Castelán Vega, et al.
Published: (2012-02-01)

Trend Analysis of Civil Aviation Incidents Based on Causal Inference and Statistical Inference
by: Peng He, et al.
Published: (2023-09-01)

Causal inference using regression-based statistical control: Confusion in Econometrics
by: Chao Fan, et al.
Published: (2023-03-01)

The MR-Base platform supports systematic causal inference across the human phenome
by: Gibran Hemani, et al.
Published: (2018-05-01)

Prior Knowledge-Based Causal Inference Algorithms and Their Applications for China COVID-19 Analysis
by: Haifeng Li, et al.
Published: (2022-09-01)

Causal inference with imperfect instrumental variables
by: Miklin Nikolai, et al.
Published: (2022-05-01)

A Data Feature Extraction Method Based on the NOTEARS Causal Inference Algorithm
by: Hairui Wang, et al.
Published: (2023-07-01)

Neural dynamics of causal inference in the macaque frontoparietal circuit
by: Guangyao Qi, et al.
Published: (2022-10-01)

Inferring Causal Factors of Core Affect Dynamics on Social Participation through the Lens of the Observer
by: Alessandro D’Amelio, et al.
Published: (2023-03-01)

Transfering Targeted Maximum Likelihood Estimation for Causal Inference into Sports Science
by: Talko B. Dijkhuis, et al.
Published: (2022-07-01)

The Application of Causal Inference Algorithms in Federated Recommender Systems
by: Yuanming Ding, et al.
Published: (2024-01-01)

Editorial: Causal inference in diet, nutrition and health outcomes
by: Qi Feng
Published: (2023-05-01)

Invariant Feature Learning Based on Causal Inference from Heterogeneous Environments
by: Hang Su, et al.
Published: (2024-02-01)

Causal inference: relating language to event representations and events in the world
by: Yipu Wei, et al.
Published: (2023-09-01)

Key Influencing Factors Identification in Complex Systems Based on Heuristic Causal Inference
by: Jianping Wu, et al.
Published: (2023-09-01)

DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox
by: Xingqiao Wang, et al.
Published: (2022-12-01)

Identification of clinical subphenotypes of sepsis after laparoscopic surgery
by: Jie Yang, et al.
Published: (2024-03-01)

Reliability of the Granger causality inference
by: Douglas Zhou, et al.
Published: (2014-01-01)

Medium- and Long-Term Load Forecasting for Power Plants Based on Causal Inference and Informer
by: Kaiyu Yang, et al.
Published: (2023-06-01)

IoT Device Identification Method Based on Causal Inference
by: Xingkui Wang, et al.
Published: (2023-06-01)

Application and Prospects of Causal Inference in Microbiological Research
by: DOU Xin, LIU Yangtai, PEI Xiaoyan, DONG Qingli
Published: (2023-05-01)

GPMatch: A Bayesian causal inference approach using Gaussian process covariance function as a matching tool
by: Bin Huang, et al.
Published: (2023-03-01)

Case study research and causal inference
by: Judith Green, et al.
Published: (2022-12-01)

Understanding Overlap in Automatic Root Cause Analysis in Manufacturing Using Causal Inference
by: Eduardo E. Oliveira, et al.
Published: (2022-01-01)

Label-aware debiased causal reasoning for Natural Language Inference
by: Kun Zhang, et al.
Published: (2024-01-01)

Inference of Factors for Labor Productivity Growth Used Randomized Experiment and Statistical Causality
by: Ekaterina V. Orlova
Published: (2023-02-01)

The Paradox of Time in Dynamic Causal Systems
by: Bob Rehder, et al.
Published: (2022-06-01)

Using public clinical trial reports to probe non-experimental causal inference methods
by: Ethan Steinberg, et al.
Published: (2023-09-01)

Quantitative probing: Validating causal models with quantitative domain knowledge
by: Grünbaum Daniel, et al.
Published: (2023-07-01)

Applied causal inference methods for sequential mediators
by: D Zugna, et al.
Published: (2022-11-01)

On Storks and Babies: Correlation, Causality and Field Experiments
by: Lambrecht Anja, et al.
Published: (2016-11-01)

Quantum space-time marginal problem: global causal structure from local causal information
by: Zhian Jia, et al.
Published: (2023-01-01)

Causal microeconometrics in accounting research
by: Marek Gruszczyński
Published: (2023-12-01)

Learning latent functions for causal discovery
by: Emiliano Díaz, et al.
Published: (2023-01-01)

Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference
by: Dian Liu, et al.
Published: (2022-11-01)

On Geometry of Information Flow for Causal Inference
by: Sudam Surasinghe, et al.
Published: (2020-03-01)

Algorithmic independence of initial condition and dynamical law in thermodynamics and causal inference
by: Dominik Janzing, et al.
Published: (2016-01-01)

Inferring the heterogeneous effect of urban land use on building height with causal machine learning
by: Yimin Chen, et al.
Published: (2024-12-01)

Research on Evaluation Elements of Urban Agricultural Green Bases: A Causal Inference-Based Approach
by: Yuchong Long, et al.
Published: (2023-08-01)