Multiple imputation for an incomplete covariate that is a ratio. - Wikidata - awgldk - TriplyDB

Multiple imputation for an incomplete covariate that is a ratio.

Multiple imputation for an incomplete covariate that is a ratio.

http://www.wikidata.org/entity/Q37576863

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STRengthening analytical thinking for observational studies: the STRATOS initiative Tuning multiple imputation by predictive mean matching and local residual draws.Challenges of developing a cardiovascular risk calculator for patients with rheumatoid arthritis.Combining fractional polynomial model building with multiple imputation.Passive imputation and parcel summaries are both valid to handle missing items in studies with many multi-item scales.Impact of risk factors associated with cardiovascular outcomes in patients with rheumatoid arthritis.Rheumatoid arthritis-specific cardiovascular risk scores are not superior to general risk scores: a validation analysis of patients from seven countries.

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Multiple imputation for an incomplete covariate that is a ratio.

http://www.wikidata.org/entity/Q37576863

description

article científic

@ca

article scientifique

@fr

articolo scientifico

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artigo científico

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bilimsel makale

@tr

scientific article published on 06 August 2013

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

@cs

name

Multiple imputation for an incomplete covariate that is a ratio.

@en

Multiple imputation for an incomplete covariate that is a ratio.

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type

label

Multiple imputation for an incomplete covariate that is a ratio.

@en

Multiple imputation for an incomplete covariate that is a ratio.

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prefLabel

Multiple imputation for an incomplete covariate that is a ratio.

@en

Multiple imputation for an incomplete covariate that is a ratio.

@nl

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Statistics in Medicine

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Multiple imputation for an incomplete covariate that is a ratio.

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Angela M Wood

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Ian R White

http://www.w3.org/2001/XMLSchema#string

Shaun R Seaman

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P2860

Missing data: our view of the state of the art

Obesity and the risk of myocardial infarction in 27,000 participants from 52 countries: a case-control study

Inference and missing data

Multiple imputation of missing covariates with non-linear effects and interactions: an evaluation of statistical methods.

A comparison of inclusive and restrictive strategies in modern missing data procedures.

Low haemoglobin predicts early mortality among adults starting antiretroviral therapy in an HIV care programme in South Africa: a cohort study

Multiple imputation: a primer.

Multiple biomarkers for the prediction of first major cardiovascular events and death.

Quantifying the impact of fixed effects modeling of clusters in multiple imputation for cluster randomized trials.

Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.

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88-104

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scholarly article

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10.1002/SIM.5935

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Patrick Royston

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2013-08-06T00:00:00Z

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255695370

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