Artikel
Öffentlich zugänglich
Sample Size and Power Calculations for Additive Interactions
-
Tyler J. VanderWeele
Veröffentlicht/Copyright:
29. August 2012
Published Online: 2012-8-29
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Artikel in diesem Heft
- Article
- Accuracy of Capture-Recapture Estimates of Prevalence
- Effects of Classical Exposure Measurement Error on the Shape of Exposure-Disease Associations
- Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests
- Confounding and Effect Modification: Distribution and Measure
- The Minicommunity Design to Assess Indirect Effects of Vaccination
- Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
- Imputation Strategies for the Estimation of Natural Direct and Indirect Effects
- Sample Size and Power Calculations for Additive Interactions
- Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified
- Causal Interpretation of Between-Within Models for Twin Research
Schlagwörter für diesen Artikel
additive interaction;
effect heterogeneity;
power;
relative excess risk due to interaction;
sample size;
synergism
Artikel in diesem Heft
- Article
- Accuracy of Capture-Recapture Estimates of Prevalence
- Effects of Classical Exposure Measurement Error on the Shape of Exposure-Disease Associations
- Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests
- Confounding and Effect Modification: Distribution and Measure
- The Minicommunity Design to Assess Indirect Effects of Vaccination
- Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
- Imputation Strategies for the Estimation of Natural Direct and Indirect Effects
- Sample Size and Power Calculations for Additive Interactions
- Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified
- Causal Interpretation of Between-Within Models for Twin Research
