Regression Discontinuity Designs in Epidemiology: Causal Inference Without Randomized Trials
Supplemental Digital Content is available in the text.
Main Authors: | Bor, Jacob, Moscoe, Ellen, Mutevedzi, Portia, Newell, Marie-Louise, Bärnighausen, Till |
---|---|
Format: | Online |
Language: | English |
Published: |
Lippincott Williams & Wilkins
2014
|
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162343/ |
Similar Items
-
Regression Discontinuity for Causal Effect Estimation in Epidemiology
by: Oldenburg, Catherine E., et al.
Published: (2016) -
Regression discontinuity design: a guide for strengthening causal inference in HRD
by: Silvana, Chambers
Published: (2016) -
Disengagement from care in a decentralised primary health care antiretroviral treatment programme: cohort study in rural South Africa
by: Mutevedzi, Portia C, et al.
Published: (2013) -
Quasi-experiments to establish causal effects of HIV care and treatment and to improve the cascade of care
by: Bor, Jacob, et al.
Published: (2015) -
Mendelian randomization: genetic anchors for causal inference in epidemiological studies
by: Davey Smith, George, et al.
Published: (2014)