SAS macro for causal mediation analysis with survival data

Epidemiology

Volumn 26, Issue 2, 2015, Pages e23-e24

  Valeri, Linda ^a   Vanderweele, Tyler J ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CANCER STAGING; CANCER SURVIVAL; CAUSAL MEDIATION ANALYSIS; COLORECTAL CANCER; COMPUTER PROGRAM; EXPOSURE MEDIATOR RELATION; EXPOSURE VARIABLE; EXPOSURE- OUTCOME; FAILURE TIME MODEL; HUMAN; LETTER; LOGISTIC REGRESSION ANALYSIS; MEDIATOR OUTCOME; MEDIATOR OUTCOME CONFOUNDER; OUTCOME ASSESSMENT; OUTCOME VARIABLE; POLICY; POVERTY; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; SOCIOECONOMICS; SOCIOLOGY; STATISTICAL ANALYSIS; STATISTICAL MODEL; SURVIVAL TIME; COLORECTAL TUMOR; EPIDEMIOLOGY; MORTALITY; SURVIVAL RATE;

CAUSALITY; COLORECTAL NEOPLASMS; CONFOUNDING FACTORS (EPIDEMIOLOGY); DATA INTERPRETATION, STATISTICAL; EFFECT MODIFIER, EPIDEMIOLOGIC; HUMANS; PROPORTIONAL HAZARDS MODELS; SOFTWARE; SURVIVAL RATE;

EID: 84923995264     PISSN: 10443983     EISSN: 15315487     Source Type: Journal    
DOI: 10.1097/EDE.0000000000000253     Document Type: Letter

References (9)

1. Valeri L, VanderWeele TJ. Mediation analysis allowing for exposure-mediator interaction and causal interpretation: SAS and SPSS macros. Psychol Methods. 2013; 18: 137-150.
2. VanderWeele TJ, Vansteelandt S. Conceptual issues concerning mediation, interventions and composition. Stat Interface. 2009; 2: 457-468.
3. Vanderweele TJ, Vansteelandt S. Odds ratios for mediation analysis for a dichotomous outcome. Am J Epidemiol. 2010; 172: 1339-1348.
4. Pearl J. Direct and indirect effects. In Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence. San Francisco, CA: Morgan Kaufmann Publishers Inc.; 2001, 411-420.
5. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology. 1992; 3: 143-155.
6. VanderWeele TJ. Explanation in Causal Inference: Methods for Mediation and Interaction. Oxford University Press: New York; 2014.
7. Lange T, Hansen JV. Direct and indirect effects in a survival context. Epidemiology. 2011; 22: 575-581.
8. VanderWeele TJ. Causal mediation analysis with survival data. Epidemiology. 2011; 22: 582-585.
9. Surveillance, Epidemiology, and End Results (SEER) Program Research Data (1973- 2010), National Cancer Institute, DCCPS, Surveillance Research Program, Surveillance Systems Branch, released April 2013.