Propensity scores in the presence of effect modification: A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis

@inproceedings{Liem2010PropensitySI,
  title={Propensity scores in the presence of effect modification: A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis},
  author={Ylian S Liem and John B. Wong and M G Myriam Hunink and Frank Th de Charro and Wolfgang C. Winkelmayer},
  booktitle={Emerging themes in epidemiology},
  year={2010}
}
PURPOSE To control for confounding bias from non-random treatment assignment in observational data, both traditional multivariable models and more recently propensity score approaches have been applied. Our aim was to compare a propensity score-stratified model with a traditional multivariable-adjusted model, specifically in estimating survival of hemodialysis (HD) versus peritoneal dialysis (PD) patients. METHODS Using the Dutch End-Stage Renal Disease Registry, we constructed a propensity… CONTINUE READING

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Our aim was to compare a propensity score - stratified model with a traditional multivariable - adjusted model , specifically in estimating survival of hemodialysis ( HD ) versus peritoneal dialysis ( PD ) patients .
Propensity scores in the presence of effect modification : A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis . PURPOSE .
Using the Dutch End - Stage Renal Disease Registry , we constructed a propensity score , predicting PD assignment from age , gender , primary renal disease , center of dialysis , and year of first renal replacement therapy .
Using the Dutch End - Stage Renal Disease Registry , we constructed a propensity score , predicting PD assignment from age , gender , primary renal disease , center of dialysis , and year of first renal replacement therapy .
Propensity scores in the presence of effect modification : A case study using the comparison of mortality on hemodialysis versus peritoneal dialysis . PURPOSE .
Our aim was to compare a propensity score - stratified model with a traditional multivariable - adjusted model , specifically in estimating survival of hemodialysis ( HD ) versus peritoneal dialysis ( PD ) patients .
Using the Dutch End - Stage Renal Disease Registry , we constructed a propensity score , predicting PD assignment from age , gender , primary renal disease , center of dialysis , and year of first renal replacement therapy .
Using the Dutch End - Stage Renal Disease Registry , we constructed a propensity score , predicting PD assignment from age , gender , primary renal disease , center of dialysis , and year of first renal replacement therapy .
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