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Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
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Natalya Verbitsky-Savitz
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
causal inference;
no-interference assumption;
neighborhood effects;
community policing;
hierarchical models (HLM);
spatial statistics
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
