Home Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
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Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago

  • Natalya Verbitsky-Savitz and Stephen W. Raudenbush
Published/Copyright: August 29, 2012
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Epidemiologic Methods
From the journal Epidemiologic Methods Volume 1 Issue 1

Published Online: 2012-8-29

©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

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  2. Accuracy of Capture-Recapture Estimates of Prevalence
  3. Effects of Classical Exposure Measurement Error on the Shape of Exposure-Disease Associations
  4. Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests
  5. Confounding and Effect Modification: Distribution and Measure
  6. The Minicommunity Design to Assess Indirect Effects of Vaccination
  7. Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
  8. Imputation Strategies for the Estimation of Natural Direct and Indirect Effects
  9. Sample Size and Power Calculations for Additive Interactions
  10. Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified
  11. Causal Interpretation of Between-Within Models for Twin Research
https://doi.org/10.1515/2161-962X.1020
Keywords for this article
causal inference; no-interference assumption; neighborhood effects; community policing; hierarchical models (HLM); spatial statistics

Articles in the same Issue

  1. Article
  2. Accuracy of Capture-Recapture Estimates of Prevalence
  3. Effects of Classical Exposure Measurement Error on the Shape of Exposure-Disease Associations
  4. Use of Individual-level Covariates to Improve Latent Class Analysis of Trypanosoma cruzi Diagnostic Tests
  5. Confounding and Effect Modification: Distribution and Measure
  6. The Minicommunity Design to Assess Indirect Effects of Vaccination
  7. Causal Inference Under Interference in Spatial Settings: A Case Study Evaluating Community Policing Program in Chicago
  8. Imputation Strategies for the Estimation of Natural Direct and Indirect Effects
  9. Sample Size and Power Calculations for Additive Interactions
  10. Correcting for Bias due to Misclassification when Error-prone Continuous Exposures Are Misclassified
  11. Causal Interpretation of Between-Within Models for Twin Research
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