| P50 | author | Donna Ankerst | Q58241772 |
| | Alan W Partin | Q62089936 |
| P2093 | author name string | Yuanyuan Liang | |
| | Ian M Thompson | |
| | Daniel W Chan | |
| | Ziding Feng | |
| | Jacob Kagan | |
| | Robin J Leach | |
| | Martin G Sanda | |
| | John T Wei | |
| | Lori Sokoll | |
| | Tim Koniarski | |
| P2860 | cites work | American Cancer Society guideline for the early detection of prostate cancer: update 2010 | Q28274848 |
| | Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond | Q29614697 |
| | Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach | Q29614698 |
| | Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines | Q29619614 |
| | Multiple imputation of discrete and continuous data by fully conditional specification | Q31118138 |
| | Missing covariate data in medical research: to impute is better than to ignore | Q33546257 |
| | A prospective, multicenter, National Cancer Institute Early Detection Research Network study of [-2]proPSA: improving prostate cancer detection and correlating with cancer aggressiveness | Q33839248 |
| | Phases of biomarker development for early detection of cancer | Q34311577 |
| | Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter | Q34323096 |
| | Estimating the diagnostic likelihood ratio of a continuous marker | Q34425390 |
| | The influence of finasteride on the development of prostate cancer | Q34534815 |
| | Decision curve analysis: a novel method for evaluating prediction models | Q34581068 |
| | Predicting prostate cancer risk through incorporation of prostate cancer gene 3. | Q34809531 |
| | Predicting the outcome of prostate biopsy: comparison of a novel logistic regression-based model, the prostate cancer risk calculator, and prostate-specific antigen level alone | Q35924515 |
| | Assessing the performance of prediction models: a framework for traditional and novel measures | Q36617895 |
| | Estimating the capacity for improvement in risk prediction with a marker | Q37090852 |
| | Prospective evaluation of operating characteristics of prostate cancer detection biomarkers | Q37252155 |
| | Operating characteristics of prostate-specific antigen in men with an initial PSA level of 3.0 ng/ml or lower | Q39722492 |
| | Assessing prostate cancer risk: results from the Prostate Cancer Prevention Trial | Q39752227 |
| | External validation of the Prostate Cancer Prevention Trial risk calculator in a screened population | Q39778617 |
| | Validation in a multiple urology practice cohort of the Prostate Cancer Prevention Trial calculator for predicting prostate cancer detection | Q39904254 |
| | Projecting individualized absolute invasive breast cancer risk in African American women | Q40149673 |
| | A review of goodness of fit statistics for use in the development of logistic regression models | Q40338804 |
| | Decision curve analysis: a discussion | Q41976258 |
| | A new logistic regression approach for the evaluation of diagnostic test results | Q43760998 |
| | The need for reorientation toward cost-effective prediction: comments on 'Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond' by M. J. Pencina et al., Statistics in Medicine (DOI: 10 | Q46355737 |
| | Bayesian inference for finite mixtures of univariate and multivariate skew-normal and skew-t distributions. | Q46390591 |
| | Projecting individualized probabilities of developing breast cancer for white females who are being examined annually | Q69396132 |
| | Performance of prostate cancer prevention trial risk calculator in a contemporary cohort screened for prostate cancer and diagnosed by extended prostate biopsy | Q82228594 |
| P433 | issue | 1 | |
| P921 | main subject | prostate cancer | Q181257 |
| P6104 | maintained by WikiProject | WikiProject Mathematics | Q8487137 |
| P304 | page(s) | 127-142 | |
| P577 | publication date | 2011-11-17 | |
| P1433 | published in | Biometrical Journal | Q15720842 |
| P1476 | title | Updating risk prediction tools: a case study in prostate cancer | |
| P478 | volume | 54 | |