Causal inference with observational data

被引：208

作者：

Nichols, Austin ^{[1
]}

机构：

[1] Urban Inst, Washington, DC 20037 USA

来源：

STATA JOURNAL | 2007年 / 7卷 / 04期

关键词：

st0136; xtreg; psmatch2; nnmatch; ivreg; ivreg2; ivregress; rd; lpoly; xtoverid; ranktest; causal inference; match; matching; reweighting; propensity score; panel; instrumental variables; excluded instrument; weak identification; regression; discontinuity; local polynomial; INSTRUMENTAL VARIABLES ESTIMATION; MATCHING ESTIMATORS; IDENTIFICATION; REGRESSION; BIAS;

D O I：

10.1177/1536867X0700700403

中图分类号：

O1 [数学]; C [社会科学总论];

学科分类号：

03 ; 0303 ; 0701 ; 070101 ;

摘要：

Problems with inferring causal relationships from nonexperimental data are briefly reviewed, and four broad classes of methods designed to allow estimation of and inference about causal parameters are described: panel regression, matching or reweighting, instrumental variables, and regression discontinuity. Practical examples are offered, and discussion focuses on checking required assumptions to the extent possible.

引用

页码：507 / 541

页数：35

共 50 条

[31] Target Trial Emulation A Framework for Causal Inference From Observational Data
Hernan, Miguel A.
Wang, Wei
Leaf, David E.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2022, 328 (24): : 2446 - 2447
[32] Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data
Cheng, Debo
Li, Jiuyong
Liu, Lin
Yu, Kui
Le, Thuc Duy
Liu, Jixue
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (08) : 11542 - 11552
[33] Causal Inference in Observational Studies in Surgery
Harrison, Ewen M.
O'Neill, Stephen
Wigmore, Stephen J.
Garden, O. James
ANNALS OF SURGERY, 2015, 262 (01) : E32 - E32
[34] CAUSAL INFERENCE IN OBSERVATIONAL STUDIES: IS IT A FAD?
Xue, Q.
Tian, J.
GERONTOLOGIST, 2013, 53 : 30 - 30
[35] Bayesian inference of causal effects from observational data in Gaussian graphical models
Castelletti, Federico
Consonni, Guido
BIOMETRICS, 2021, 77 (01) : 136 - 149
[36] 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)
[37] AN APPLICATION OF CAUSAL INFERENCE FOR OBSERVATIONAL DATA IN HARD DISK DRIVE FAILURE ANALYSIS
Zhang, Shaoang
Ou, Eve
Limando, Alvin
16TH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, 2010, : 65 - +
[38] Model-based inference on average causal effect in observational clustered data
Wu, Meng
Yucel, Recai M.
HEALTH SERVICES AND OUTCOMES RESEARCH METHODOLOGY, 2019, 19 (01) : 36 - 60
[39] 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
[40] Model-based inference on average causal effect in observational clustered data
Meng Wu
Recai M. Yucel
Health Services and Outcomes Research Methodology, 2019, 19 : 36 - 60

← 1 2 3 4 5 →