Inverse probability weighted least squares regression in the analysis of time-censored cost data: an evaluation of the approach using SEER-Medicare.

@article{Griffiths2012InversePW,
  title={Inverse probability weighted least squares regression in the analysis of time-censored cost data: an evaluation of the approach using SEER-Medicare.},
  author={Robert I. Griffiths and Michelle Gleeson and Mark D Danese and Anthony O'Hagan},
  journal={Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research},
  year={2012},
  volume={15 5},
  pages={656-63}
}
OBJECTIVES To assess the accuracy and precision of inverse probability weighted (IPW) least squares regression analysis for censored cost data. METHODS By using Surveillance, Epidemiology, and End Results-Medicare, we identified 1500 breast cancer patients who died and had complete cost information within the database. Patients were followed for up to 48… CONTINUE READING