Pages that link to "Item:Q3653114"
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The following pages link to Semiparametric methods for evaluating risk prediction markers in case-control studies (Q3653114):
Displaying 15 items.
- Estimating the decision curve and its precision from three study designs (Q83383) (← links)
- Logistic regression analysis with standardized markers (Q386753) (← links)
- Identification of sparse neural functional connectivity using penalized likelihood estimation and basis functions (Q1704742) (← links)
- Information borrowing methods for covariate-adjusted ROC curve (Q2856558) (← links)
- Partial summary measures of the predictiveness curve (Q2857490) (← links)
- Updating risk prediction tools: a case study in prostate cancer (Q2893542) (← links)
- Semiparametric estimation for joint modeling of colorectal cancer risk and functional biomarkers measured with errors (Q3003004) (← links)
- Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies (Q3095176) (← links)
- Borrowing Information Across Populations in Estimating Positive and Negative Predictive Values (Q3096925) (← links)
- Estimating the capacity for improvement in risk prediction with a marker (Q3304926) (← links)
- Calibrating parametric subject-specific risk estimation (Q3585402) (← links)
- SEMI-PARAMETRIC METHOD AND ITS EFFICIENCY IN THE ANALYSIS OF A CASE-CONTROL STUDY (Q3730806) (← links)
- Estimating Improvement in Prediction with Matched Case-Control Designs (Q4984844) (← links)
- Empirical evaluation of sub-cohort sampling designs for risk prediction modeling (Q5861605) (← links)
- Estimating improvement in prediction with matched case-control designs (Q5963060) (← links)
