Causal inference of the effectiveness of a return to work intervention from observational data: the role of selection

被引：0
|
作者：
Joling, C. [1 ]
Groot, W. [1 ]
机构：
[1] Maastricht Univ, Fac Hlth Sci, Dept Hlth Org, Policy & Econ, Maastricht, Netherlands
来源：
EUROPEAN JOURNAL OF PUBLIC HEALTH | 2006年 / 16卷
关键词：
D O I：
暂无
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
引用
收藏
页码：57 / 57
页数：1
相关论文
共 50 条
  • [21] Observational process data analytics using causal inference
    Yang, Shu
    Bequette, B. Wayne
    AICHE JOURNAL, 2023, 69 (04)
  • [22] The Designed Bootstrap for Causal Inference in Big Observational Data
    Zhang, Yumin
    Sabbaghi, Arman
    JOURNAL OF STATISTICAL THEORY AND PRACTICE, 2021, 15 (04)
  • [23] Causal inference and effect estimation using observational data
    Igelstrom, Erik
    Craig, Peter
    Lewsey, Jim
    Lynch, John
    Pearce, Anna
    Katikireddi, Srinivasa Vittal
    JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH, 2022, 76 (11) : 960 - 966
  • [24] Causal inference with observational data: the need for triangulation of evidence
    Hammerton, Gemma
    Munafo, Marcus R.
    PSYCHOLOGICAL MEDICINE, 2021, 51 (04) : 563 - 578
  • [25] Causal Inference With Observational Data and Unobserved Confounding Variables
    Byrnes, Jarrett E. K.
    Dee, Laura E.
    ECOLOGY LETTERS, 2025, 28 (01)
  • [26] The Designed Bootstrap for Causal Inference in Big Observational Data
    Yumin Zhang
    Arman Sabbaghi
    Journal of Statistical Theory and Practice, 2021, 15
  • [27] Bayesian inference of causal effects from observational data in Gaussian graphical models
    Castelletti, Federico
    Consonni, Guido
    BIOMETRICS, 2021, 77 (01) : 136 - 149
  • [28] Four targets: an enhanced framework for guiding causal inference from observational data
    Lu, Haidong
    Li, Fan
    Lesko, Catherine R.
    Fink, David S.
    Rudolph, Kara E.
    Harhay, Michael O.
    Rentsch, Christopher T.
    Fiellin, David A.
    Gonsalves, Gregg S.
    INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2025, 54 (01)
  • [29] Scaling of Union of Intersections for Inference of Granger Causal Networks from Observational Data
    Balasubramanian, Mahesh
    Ruiz, Trevor D.
    Cook, Brandon
    Prabhat
    Bhattacharyya, Sharmodeep
    Shrivastava, Aviral
    Bouchard, Kristofer E.
    2020 IEEE 34TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM IPDPS 2020, 2020, : 264 - 273
  • [30] Methods of Public Health Research - Strengthening Causal Inference from Observational Data
    Hernan, Miguel A.
    NEW ENGLAND JOURNAL OF MEDICINE, 2021, 385 (15): : 1345 - 1348
12345