<p>Logistic regression models for the prediction of end stage renal disease at two years, with measures of model performance and the incremental value of adding kappa/creatinine ratio (KCR) or lambda/creatinine ratio (LCR) to a baseline model containing the kidney failure risk equation (KFRE).</p
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 4 ...
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 5 ...
Background Various prediction models have been developed to predict the risk of kidney failure in pa...
<p>Logistic regression analysis: The clinical characteristics of people with normal renal function, ...
Minimal datasets used to train and validate models described in Predicting Kidney Failure from Longi...
Minimal datasets used to train and validate models described in Predicting Kidney Failure from Longi...
Rationale & Objective Stratification of chronic kidney disease (CKD) patients at risk for progressi...
Item does not contain fulltextMinimal datasets used to train and validate models described in Predic...
Figures show the C-statistics for the prediction of outcomes with 95% CIs of the models. A: Primary ...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
International audienceStratification of chronic kidney disease (CKD) patients at risk for progressin...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
International audienceStratification of chronic kidney disease (CKD) patients at risk for progressin...
<p>Abbreviations: OR, Odds Ratio; CI, Confidence Interval.</p>a<p>High sensitivity C-reactive protei...
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 4 ...
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 5 ...
Background Various prediction models have been developed to predict the risk of kidney failure in pa...
<p>Logistic regression analysis: The clinical characteristics of people with normal renal function, ...
Minimal datasets used to train and validate models described in Predicting Kidney Failure from Longi...
Minimal datasets used to train and validate models described in Predicting Kidney Failure from Longi...
Rationale & Objective Stratification of chronic kidney disease (CKD) patients at risk for progressi...
Item does not contain fulltextMinimal datasets used to train and validate models described in Predic...
Figures show the C-statistics for the prediction of outcomes with 95% CIs of the models. A: Primary ...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
International audienceStratification of chronic kidney disease (CKD) patients at risk for progressin...
Chronic kidney failure has become a disease of widespread diseases and increasingly in our society a...
International audienceStratification of chronic kidney disease (CKD) patients at risk for progressin...
<p>Abbreviations: OR, Odds Ratio; CI, Confidence Interval.</p>a<p>High sensitivity C-reactive protei...
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 4 ...
Regression coefficients and hazard ratios for variables in the risk prediction model at CKD stage 5 ...
Background Various prediction models have been developed to predict the risk of kidney failure in pa...