research data . Dataset . 2015

Performance of tPSA only and Multivariate model for predicting PCa and high grade PCa in different stratification.

Na, Rong; Jiang, Haowen; Kim, Seong-Tae; Wu, Yishuo; Tong, Shijun; Zhang, Limin; Xu, Jianfeng; Sun, Yinghao; Ding, Qiang;
  • Published: 01 Jan 2015
  • Publisher: Figshare
Abstract
*<p>Multivariate Model 1: Modeling by using 5 variables: age, logarithm of tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.</p>**<p>Multivariate Model 2: Modeling by using 6 variables: age, logarithm of tPSA, fPSA/tPSA, logarithm of prostate volume, result of DRE, result of transrectal ultrasound.</p><p>-The tPSA and fPSA values are antilogarithmic when calculating AUC.</p>
Subjects
free text keywords: Cancer, tpsa, multivariate, predicting, pca
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Dataset . 2015
Provider: figshare
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