Decision curve analysis

More documents

Recommendations

Info

Model• Data generated with a logit model.• Betas of:– 1.8 for test 1– 2.0 for test 2– 1.9 for interaction– -3.5 for intercept
Page 1 and 2: Decision curve analysisAndrew Vicke
Page 3 and 4: What am I doing here?Prediction mod
Page 5: How do you know thatprediction mode
Page 9 and 10: ResultsMarker Sensitivity Specifici
Page 11 and 12: Principle• Take statistical metho
Page 13 and 14: What is the “depends”parameter?
Page 15 and 16: Youden IndexSensitivity + Specifici
Page 17 and 18: AUC / C indexProbability correct id
Page 19 and 20: Brier Score(D - P) 2• D=1 and D=0
Page 21 and 22: Net Reclassification IndexAs harmfu
Page 23 and 24: Prostate cancer• What is worse?To
Page 25 and 26: CanceraApplymodelBiopsyNo biopsyNo
Page 27 and 28: Problems with traditionaldecision a
Page 29 and 30: If P(D=1) = P tad− c −=1− b p
Page 31 and 32: Decision curve analysis1. Select a
Page 33 and 34: Worked example at p t = 20%N=753 Ne
Page 35 and 36: Net benefit has simpleclinical inte
Page 38 and 39: Introductory exampleMarker Sensitiv
Page 40 and 41: EitherBoth
Page 42: What if test 2 a scan?• This is a
Page 45 and 46: Traditionalstatistical analysisTrad
Page 47 and 48: Very easy to use softwarefor Stata
Page 49: In summary…Prediction modelsare w

Decision curve analysis

Create successful ePaper yourself

Delete template?

Save as template?