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Meta-Analysis of Observational Studies with Unmeasured Confounders
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Lawrence C. McCandless
Veröffentlicht/Copyright:
6. Januar 2012
Published Online: 2012-1-6
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Artikel in diesem Heft
- Editorial Introduction
- Special Issue on Causal Inference in Health Research
- Article
- Bias Analysis to Guide New Data Collection
- Bounds on the Effect of Vaccine Induced Immune Response on Outcome
- Double-Robust Estimators: Slightly More Bayesian than Meets the Eye?
- Meta-Analysis of Observational Studies with Unmeasured Confounders
- Causal Inference for Vaccine Effects on Infectiousness
- Adjusting for Perception and Unmasking Effects in Longitudinal Clinical Trials
Schlagwörter für diesen Artikel
causal inference;
bias;
sensitivity analysis;
Bayesian statistics
Artikel in diesem Heft
- Editorial Introduction
- Special Issue on Causal Inference in Health Research
- Article
- Bias Analysis to Guide New Data Collection
- Bounds on the Effect of Vaccine Induced Immune Response on Outcome
- Double-Robust Estimators: Slightly More Bayesian than Meets the Eye?
- Meta-Analysis of Observational Studies with Unmeasured Confounders
- Causal Inference for Vaccine Effects on Infectiousness
- Adjusting for Perception and Unmasking Effects in Longitudinal Clinical Trials