Literature DB >> 17689816

Imputation is beneficial for handling missing data in predictive models.

Ewout W Steyerberg, Mirjam van Veen.   

Abstract

Mesh:

Year:  2007        PMID: 17689816     DOI: 10.1016/j.jclinepi.2007.03.003

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


× No keyword cloud information.
  44 in total

1.  Identifying patients with suspected gastro-oesophageal cancer in primary care: derivation and validation of an algorithm.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  Br J Gen Pract       Date:  2011-11       Impact factor: 5.386

2.  The effect of imputing missing clinical attribute values on training lung cancer survival prediction model performance.

Authors:  Mohamed S Barakat; Matthew Field; Aditya Ghose; David Stirling; Lois Holloway; Shalini Vinod; Andre Dekker; David Thwaites
Journal:  Health Inf Sci Syst       Date:  2017-12-06

3.  Identifying patients with suspected pancreatic cancer in primary care: derivation and validation of an algorithm.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  Br J Gen Pract       Date:  2012-01       Impact factor: 5.386

4.  Unintended effects of statins in men and women in England and Wales: population based cohort study using the QResearch database.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  BMJ       Date:  2010-05-20

5.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls.

Authors:  Jonathan A C Sterne; Ian R White; John B Carlin; Michael Spratt; Patrick Royston; Michael G Kenward; Angela M Wood; James R Carpenter
Journal:  BMJ       Date:  2009-06-29

6.  Predicting the risk of chronic Kidney Disease in men and women in England and Wales: prospective derivation and external validation of the QKidney Scores.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  BMC Fam Pract       Date:  2010-06-21       Impact factor: 2.497

7.  Symptoms and risk factors to identify women with suspected cancer in primary care: derivation and validation of an algorithm.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  Br J Gen Pract       Date:  2013-01       Impact factor: 5.386

8.  Symptoms and risk factors to identify men with suspected cancer in primary care: derivation and validation of an algorithm.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  Br J Gen Pract       Date:  2013-01       Impact factor: 5.386

9.  Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2.

Authors:  Julia Hippisley-Cox; Carol Coupland; Yana Vinogradova; John Robson; Rubin Minhas; Aziz Sheikh; Peter Brindle
Journal:  BMJ       Date:  2008-06-23

10.  Predicting risk of osteoporotic fracture in men and women in England and Wales: prospective derivation and validation of QFractureScores.

Authors:  Julia Hippisley-Cox; Carol Coupland
Journal:  BMJ       Date:  2009-11-19
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.