Letter to the editor on ‘A deep neural network predictor to predict the sensitivity of neoadjuvant chemoradiotherapy in locally advanced rectal cancer’-Reference-Cited by-同舟云学术

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Letter to the editor on ‘A deep neural network predictor to predict the sensitivity of neoadjuvant chemoradiotherapy in locally advanced rectal cancer’

Published:2024-11 Issue: Volume:604 Page:217212
ISSN:0304-3835
Container-title:Cancer Letters
language:en
Short-container-title:Cancer Letters

Author:

Yao Bihua^ORCID,Wu Jianguo^ORCID

Publisher

Elsevier BV

Reference4 articles.

1. A deep neural network predictor to predict the sensitivity of neoadjuvant chemoradiotherapy in locally advanced rectal cancer;Liu;Cancer Lett.,2024

2. Calculating the sample size required for developing a clinical prediction model;Riley;BMJ (Clinical research ed.),2020

3. Minimum sample size for developing a multivariable prediction model using multinomial logistic regression;Pate;Stat. Methods Med. Res.,2023

4. Sample size for binary logistic prediction models: beyond events per variable criteria;van Smeden;Stat. Methods Med. Res.,2019

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