Statistical primer: how to deal with missing data in scientific research?†-Reference-Cited by-同舟云学术

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Statistical primer: how to deal with missing data in scientific research?†

Published:2018-05-10 Issue:2 Volume:27 Page:153-158
ISSN:1569-9293
Container-title:Interactive CardioVascular and Thoracic Surgery
language:en
Short-container-title:

Author:

Papageorgiou Grigorios¹²,Grant Stuart W³,Takkenberg Johanna J M¹,Mokhles Mostafa M¹

Affiliation:

1. Department of Cardiothoracic Surgery, Erasmus University Medical Center, Rotterdam, Netherlands

2. Department of Biostatistics, Erasmus University Medical Center, Rotterdam, Netherlands

3. Department of Academic Surgery, University of Manchester, Manchester, UK

Funder

Netherlands Organisation for Scientific Research

Publisher

Oxford University Press (OUP)

Subject

Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery

Link

http://academic.oup.com/icvts/article-pdf/27/2/153/25228457/ivy102.pdf

Reference21 articles.

1. Differential dropout and bias in randomised controlled trials: when it matters and when it may not;Bell;BMJ,2013

2. The prevention and treatment of missing data in clinical trials;Little;N Engl J Med,2012

3. Statistical Analysis with Missing Data

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