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Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient

机译：前列腺癌中预测模型研究的样本尺寸很少是合理的，通常不足

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Shane D. Collins; Niels Peek; Richard D. Riley; Glen P. Martin;
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1. A simulation study of sample size demonstrated the importance of the number of events per variable to develop prediction models in clustered data [J] . Wynants L., Bouwmeester W., Moons K. G. M., Journal of Clinical Epidemiology . 2015,第12期

机译：样本量的模拟研究表明，每个变量的事件数对于建立聚类数据预测模型的重要性
2. Minimum training sample size requirements for achieving high prediction accuracy with the BN model: A case study regarding seismic liquefaction [J] . Hu Jilei, Zou Wenjun, Wang Jing, Expert systems with applications . 2021,第Deca期

机译：使用BN模型实现高预测精度的最低训练样本大小：抗震液化的案例研究
3. A clinician's guide for developing a prediction model: a case study using real-world data of patients with castration-resistant prostate cancer [J] . Journal of Cancer Research and Clinical Oncology . 2020,第8期

机译：临床医生开发预测模型的指南 - 以抗阉割前列腺癌患者的真实数据为例
4. Analysis of glycoforms of urinary prostate-specific antigen of prostate cancer and benign prostate hyperplasia samples [C] . Chun-Jen Hsiao, Tzong-Shin Tzai, Chein-Hung Chen, ASMS Conference on Mass Spectrometry and Allied Topics . 2015

机译：前列腺癌和良性前列腺增生样品的尿道前列腺特异性抗原糖族分析
5. Adequate sample sizes for viable 2-level hierarchical linear modeling analysis: A study on sample size requirement in HLM in relation to different intraclass correlations. [D] . Shih, Tse-Hua. 2008

机译：可行的两级分层线性建模分析所需的足够样本量：HLM中与不同类内相关性相关的样本量需求研究。
6. Impact of sample size on the stability of risk scores from clinical prediction models: a case study in cardiovascular disease [O] . Alexander Pate, Richard Emsley, Matthew Sperrin, 2020

机译：样本大小对临床预测模型风险评分稳定性的影响：心血管疾病的案例研究
7. The effect of sample size on polygenic hazard models for prostate cancer [O] . Roshan A. Karunamuni, Minh-Phuong Huynh-Le, Chun C. Fan, 2020

机译：样品大小对前列腺癌多基因危害模型的影响
8. Development of Internet-Accessible Prediction Models for Prostate Cancer Diagnosis, Treatment, and Follow-Up [R] . Sun, L. L. , Moul, J. W. , Wu, H. , 2004

机译：开发用于前列腺癌诊断，治疗和随访的因特网可访问预测模型

Sample sizes of prediction model studies in prostate cancer were rarely justified and often insufficient

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