Suppr超能文献

开发和验证风险模型的关键步骤和常见陷阱。

Key steps and common pitfalls in developing and validating risk models.

机构信息

KU Leuven Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven iMinds Medical IT Department, Leuven, Belgium.

Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.

出版信息

BJOG. 2017 Feb;124(3):423-432. doi: 10.1111/1471-0528.14170. Epub 2016 Jun 30.

Abstract

UNLABELLED

Models for estimating an individual's risk of having or developing a disease are abundant in the medical literature, yet many do not meet the methodological standards that have been set to maximise generalisability and utility. This paper presents an overview of ten steps from the conception of the study to the implementation of the risk model and discusses common pitfalls. We discuss crucial aspects of study design, data collection, model development and performance evaluation, and discuss how to bring the model to clinical practice.

TWEETABLE ABSTRACT

We present an overview of ten key steps for the development of risk models and discuss common pitfalls.

摘要

未加标签

在医学文献中,有大量用于估计个体患病或发病风险的模型,但许多模型都不符合为最大限度提高通用性和实用性而设定的方法学标准。本文从研究构思到风险模型的实施概述了十个步骤,并讨论了常见的陷阱。我们讨论了研究设计、数据收集、模型开发和性能评估的关键方面,并讨论了如何将模型应用于临床实践。

推特点评

我们概述了开发风险模型的十个关键步骤,并讨论了常见的陷阱。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验