Research Explorer

Project

Structural nested models for the effect of a time-varying exposure on dichtomous outcomes and survival outcomes
Code
01D36810
Duration
15 October 2010 → 14 October 2014
Funding
Regional and community funding: Special Research Fund
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Statistics
    • Numerical methods
Keywords
causality Confounding statistics
 
Project description

Estimation of the effect of time-varying exposure on a given outcome is typically plagued by the presence of time-varying confounders. Because standard regression adjustment for such confounders is fallible, the goal of the proposed research is to overcome this through the development of structural nested models for outcomes that are dichotomous or survival times.