Start With the “C-Word,” Follow the Roadmap for Causal Inference
Bibliographic Data
| ID | 11034745 |
|---|---|
| Authors | Jennifer Ahern (Jennifer Ahern is with the Division of Epidemiology, School of Public Health, University of California, Berkeley.) |
| Year | 2018 |
| Volume | 108 |
| Issue | 5 |
| Pages | 621-621 |
| Publication date | 2018-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.2018.304358 |
| Language | EN |
| Citations received | 3 |
| References cited | 6 |
Marginal Structural Models and Causal Inference in Epidemiology
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
The central role of the propensity score in observational studies for causal effects
Predicting the Population Health Impacts of Community Interventions
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2018 - 2024 (7) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |