| 書目名稱 | Clinical Prediction Models |
| 副標(biāo)題 | A Practical Approach |
| 編輯 | Ewout W. Steyerberg |
| 視頻video | http://file.papertrans.cn/229/228182/228182.mp4 |
| 概述 | Features, in this new edition, a discussion of Big Data and its implications of the design of prediction models.Includes, in this new edition, new case studies, more simulations with missing "y" value |
| 叢書名稱 | Statistics for Biology and Health |
| 圖書封面 |  |
| 描述 | .The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but? a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice..There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making.? In this Big Data era,? there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment.? Clinical Prediction Models presents a practical checklist that needs to be considered for development of avalid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters wit |
| 出版日期 | Book 2019Latest edition |
| 關(guān)鍵詞 | An?sthesie-Informations-Management-System; Data-analysis; Evidence-Based Medicine; Prediction; Radiologi |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-030-16399-0 |
| isbn_softcover | 978-3-030-16401-0 |
| isbn_ebook | 978-3-030-16399-0Series ISSN 1431-8776 Series E-ISSN 2197-5671 |
| issn_series | 1431-8776 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-16 06:02
發(fā)表于 2025-3-21 17:30:16
