Preoperative score to predict postoperative mortality (POSPOM): derivation and validation
<p><strong>Background</strong> An accurate risk score able to predict in-hospital mortality in patients undergoing surgery may improve both risk communication and clinical decision making. The aim of the study was to develop and validate a surgical risk score based solely on preope...
Main Authors: | Le Manach, Y, Collins, G, Rodseth, R, Le Bihan-Benjamin, C, Biccard, B, Riou, B, Devereaux, P, Landais, P |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Lippincott, Williams and Wilkins
2016
|
Similar Items
-
In Reply - Calibration evaluation in left skewed populations.
by: Le Manach, Y, et al.
Published: (2016) -
Double-adjustment in propensity score matching analysis: choosing a threshold for considering residual imbalance
by: Nguyen, T, et al.
Published: (2017) -
Magnitude and direction of missing confounders had different consequences on treatment effect estimation in propensity score analysis
by: Nguyen, T, et al.
Published: (2017) -
Comparison of the ability of double-robust estimators to correct bias in propensity score matching analysis. A Monte Carlo simulation study.
by: Nguyen, TL, et al.
Published: (2017) -
Simple randomization did not protect against bias in smaller trials
by: Nguyen, T, et al.
Published: (2017)