1999
DOI: 10.5014/ajot.53.5.459
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Regression Modeling Strategies: An Illustrative Case Study From Medical Rehabilitation Outcomes Research

Abstract: The practice of outcomes research is growing in all segments of the health care industry, yet few practitioners and researchers are prepared to deal with the completion of statistical analyses that characterize the new focus on results. This article discusses basic model formulation and interpretation. It also encourages the use of statistical models that study the simultaneous effects of many variables on an outcome and gives examples of relationships among variables that are not simple and linear. The method… Show more

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Cited by 16 publications
(11 citation statements)
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“…The univariate and multivariate Cox regression analyses were used to determine the independent prognosis factors. A nomogram was used to predict the survival probability of CC patients by “rms” package [ 42 ].…”
Section: Methodsmentioning
confidence: 99%
“…The univariate and multivariate Cox regression analyses were used to determine the independent prognosis factors. A nomogram was used to predict the survival probability of CC patients by “rms” package [ 42 ].…”
Section: Methodsmentioning
confidence: 99%
“…The half-maximal inhibitory concentration (IC50) of all drugs commonly used to treat tumors were calculated and represented the drug response. The R package ‘pRRopheticRredic’ was used with 10fold cross-validation and other parameters by default ( 49 ).…”
Section: Methodsmentioning
confidence: 99%
“…Univariate cox proportional hazard regression analysis was performed to select risk factors ( p < 0.05). A multivariate COX model based on the selected features and the nomogram chart was constructed using the “RMS” in R software to predict 5-year overall survival 63 . The accuracy of the risk model was assessed using the calibration curve and AUC.…”
Section: Methodsmentioning
confidence: 99%