Comparison of approaches for incorporating new information into existing risk prediction models-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Comparison of approaches for incorporating new information into existing risk prediction models

Published:2016-12-11 Issue:7 Volume:36 Page:1134-1156
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Grill Sonja¹,Ankerst Donna P.¹²,Gail Mitchell H.³,Chatterjee Nilanjan⁴,Pfeiffer Ruth M.³

Affiliation:

1. Department of Life Sciences and Mathematics; Technical University Munich; Munich Germany

2. Department of Urology; University of Texas Health Science Center at San Antonio; San Antonio TX U.S.A.

3. National Cancer Institute; Bethesda 20892 Maryland U.S.A.

4. Department of Biostatistics, Bloomberg School of Public Health; Johns Hopkins University; Baltimore MD U.S.A.

Funder

Technical University Munich Women in Science fund

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference19 articles.

1. Plan and operation of the NHANES I Epidemiologic Followup Study, 1987;Cox;Vital and Health Statistics Series 1,1992

2. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually;Gail;Journal of the National Cancer Institute,1989

3. A new logistic regression approach for the evaluation of diagnostic test results;Janssens;Medical Decision Making,2005

4. Predicting prostate cancer risk through incorporation of prostate cancer gene 3;Ankerst;The Journal of Urology,2008

5. Estimating the capacity for improvement in risk prediction with a marker;Gu;Biostatistics,2009

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparison of Bayesian approaches for developing prediction models in rare disease: application to the identification of patients with Maturity-Onset Diabetes of the Young;BMC Medical Research Methodology;2024-06-04

2. A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes;Lifetime Data Analysis;2024-05-08

3. Improvement of an External Predictive Model Based on New Information Using a Synthetic Data Approach;Neurology Genetics;2023-10

4. Efficient estimation of a Cox model when integrating the subgroup incidence rate information;Journal of Applied Statistics;2022-05-04

5. Screening for Lung Cancer in Individuals Who Never Smoked: An International Association for the Study of Lung Cancer Early Detection and Screening Committee Report;Journal of Thoracic Oncology;2022-01

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3