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Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study

Overview of attention for article published in BMC Medical Research Methodology, January 2010
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Title
Comparison of techniques for handling missing covariate data within prognostic modelling studies: a simulation study
Published in
BMC Medical Research Methodology, January 2010
DOI 10.1186/1471-2288-10-7
Pubmed ID
Authors

Andrea Marshall, Douglas G Altman, Patrick Royston, Roger L Holder

Abstract

There is no consensus on the most appropriate approach to handle missing covariate data within prognostic modelling studies. Therefore a simulation study was performed to assess the effects of different missing data techniques on the performance of a prognostic model.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 213 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 2 <1%
Germany 1 <1%
Vietnam 1 <1%
France 1 <1%
Spain 1 <1%
Italy 1 <1%
Unknown 202 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 22%
Researcher 46 22%
Student > Master 17 8%
Student > Doctoral Student 17 8%
Professor > Associate Professor 16 8%
Other 40 19%
Unknown 31 15%
Readers by discipline Count As %
Medicine and Dentistry 73 34%
Mathematics 24 11%
Psychology 18 8%
Computer Science 16 8%
Agricultural and Biological Sciences 8 4%
Other 34 16%
Unknown 40 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 October 2019.
All research outputs
#14,141,940
of 22,660,862 outputs
Outputs from BMC Medical Research Methodology
#1,372
of 2,000 outputs
Outputs of similar age
#131,187
of 163,717 outputs
Outputs of similar age from BMC Medical Research Methodology
#7
of 9 outputs
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