The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
An Introduction to G Methods
Open accessAbstract
Robins' generalized methods (g methods) provide consistent estimates of contrasts (e.g. differences, ratios) of potential outcomes under a less restrictive set of identification conditions than do standard regression methods (e.g. linear, logistic, Cox regression). Uptake of g methods by epidemiologists has been hampered by limitations in understanding both conceptual and technical details. We present a simple worked example that illustrates basic concepts, while minimizing technical complications.
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Cites
All of Statistics: A Concise Course in Statistical Inference
Wasserman, L. (2004) · Springer Texts in Statistics · doi:10.1007/978-0-387-21736-9 · Cited by 1,090
Illustrating bias due to conditioning on a collider
Cole, S. R., Platt, R. W., Schisterman, E. F., Chu, H., Westreich, D., Richardson, D., & Poole, C. (2010) · International Journal of Epidemiology · doi:10.1093/ije/dyp334 · Cited by 796
Self-citationRothman, K. J. (1988) · Cited by 690
Identifiability, Exchangeability, and Epidemiological Confounding
GREENLAND, S., & ROBINS, J. M. (1986) · International Journal of Epidemiology · doi:10.1093/ije/15.3.413 · Cited by 686
All Of Statistic A Concise Course In Statistical Inference
Waserman, L. (2003) · Cited by 652
The Consistency Statement in Causal Inference: A Definition or an Assumption?
Cole, S. R., & Frangakis, C. E. (2009) · Epidemiology · doi:10.1097/ede.0b013e31818ef366 · Cited by 413
Self-citationInvited Commentary: Positivity in Practice
Westreich, D., & Cole, S. R. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwp436 · Cited by 412
Self-citationEstimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
Robins, J. M., Mark, S. D., & Newey, W. K. (1992) · Biometrics · doi:10.2307/2532304 · Cited by 391
Methods for dealing with time‐dependent confounding
Daniel, R. M., Cousens, S. N., De Stavola, B. L., Kenward, M. G., & Sterne, J. A. C. (2013) · Statistics in Medicine · doi:10.1002/sim.5686 · Cited by 376
Intervening on risk factors for coronary heart disease: an application of the parametric g-formula
Taubman, S. L., Robins, J. M., Mittleman, M. A., & Hernán, M. A. (2009) · International Journal of Epidemiology · doi:10.1093/ije/dyp192 · Cited by 341
Cited by
Desai, R. J., & Franklin, J. M. (2019) · BMJ · doi:10.1136/bmj.l5657 · Cited by 657
Causal inference and counterfactual prediction in machine learning for actionable healthcare
Prosperi, M., Guo, Y., Sperrin, M., Koopman, J. S., Min, J. S., He, X., Rich, S., Wang, M., Buchan, I. E., & Bian, J. (2020) · Nature Machine Intelligence · doi:10.1038/s42256-020-0197-y · Cited by 459
Life course epidemiology and public health
Wagner, C., Carmeli, C., Jackisch, J., Kivimäki, M., van der Linden, B. W. A., Cullati, S., & Chiolero, A. (2024) · The Lancet Public Health · doi:10.1016/s2468-2667(24)00018-5 · Cited by 188
Reflection on modern methods: when worlds collide—prediction, machine learning and causal inference
Blakely, T., Lynch, J., Simons, K., Bentley, R., & Rose, S. (2021) · International Journal of Epidemiology · doi:10.1093/ije/dyz132 · Cited by 98
Understanding Marginal Structural Models for Time-Varying Exposures: Pitfalls and Tips
Shinozaki, T., & Suzuki, E. (2020) · Journal of Epidemiology · doi:10.2188/jea.je20200226 · Cited by 44
Metadata
- Authors
- Naimi, A. I., Cole, S. R., & Kennedy, E. H.
- Venue
- International Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-12-30
- Volume
- 46
- Issue
- 2
- Pages
- dyw323
- ISSN
- 0300-5771 (ISSN-L)
- 1464-3685
- OpenAlex
- W2566529584
- Cited by
- 332
- References
- 18
- FWCI
- 11.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
