Accounting for uncertainty in confounder and effect modifier selection when estimating average causal effects in generalized linear models
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DOI: 10.1111/biom.12315
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- Chanmin Kim & Mauricio Tec & Corwin Zigler, 2023. "Bayesian nonparametric adjustment of confounding," Biometrics, The International Biometric Society, vol. 79(4), pages 3252-3265, December.
- Matthew Cefalu & Francesca Dominici & Nils Arvold & Giovanni Parmigiani, 2017. "Model averaged double robust estimation," Biometrics, The International Biometric Society, vol. 73(2), pages 410-421, June.
- Sahil Loomba & Alexandre Figueiredo & Simon J. Piatek & Kristen Graaf & Heidi J. Larson, 2021. "Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA," Nature Human Behaviour, Nature, vol. 5(3), pages 337-348, March.
- Ander Wilson & Corwin M. Zigler & Chirag J. Patel & Francesca Dominici, 2018. "Model‐averaged confounder adjustment for estimating multivariate exposure effects with linear regression," Biometrics, The International Biometric Society, vol. 74(3), pages 1034-1044, September.
- Jason Roy & Kirsten J. Lum & Bret Zeldow & Jordan D. Dworkin & Vincent Lo Re & Michael J. Daniels, 2018. "Bayesian nonparametric generative models for causal inference with missing at random covariates," Biometrics, The International Biometric Society, vol. 74(4), pages 1193-1202, December.
- Joseph Antonelli & Matthew Cefalu & Nathan Palmer & Denis Agniel, 2018. "Doubly robust matching estimators for high dimensional confounding adjustment," Biometrics, The International Biometric Society, vol. 74(4), pages 1171-1179, December.
- Ertefaie Ashkan & Asgharian Masoud & Stephens David A., 2018. "Variable Selection in Causal Inference using a Simultaneous Penalization Method," Journal of Causal Inference, De Gruyter, vol. 6(1), pages 1-16, March.
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