Overcoming bias in estimating the volume-outcome relationship.

@article{Tsai2006OvercomingBI,
  title={Overcoming bias in estimating the volume-outcome relationship.},
  author={Alexander C. Tsai and Mark Edward Votruba and John F. P. Bridges and Randall D. Cebul},
  journal={Health services research},
  year={2006},
  volume={41 1},
  pages={
          252-64
        }
}
OBJECTIVE To examine the effect of hospital volume on 30-day mortality for patients with congestive heart failure (CHF) using administrative and clinical data in conventional regression and instrumental variables (IV) estimation models. DATA SOURCES The primary data consisted of longitudinal information on comorbid conditions, vital signs, clinical status, and laboratory test results for 21,555 Medicare-insured patients aged 65 years and older hospitalized for CHF in northeast Ohio in 1991… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 29 CITATIONS

On the Hospital Volume and Outcome Relationship: Does Specialization Matter More Than Volume?

  • Health services research
  • 2015
VIEW 4 EXCERPTS
CITES BACKGROUND & RESULTS
HIGHLY INFLUENCED

Measuring the Volume-Outcome Relation for Complex Hospital Surgery

  • Applied Health Economics and Health Policy
  • 2016
VIEW 1 EXCERPT
CITES BACKGROUND