Combining fractional polynomial model building with multiple imputation. - Wikidata - awgldk - TriplyDB

Combining fractional polynomial model building with multiple imputation.

Combining fractional polynomial model building with multiple imputation.

http://www.wikidata.org/entity/Q36912447

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A comparison of methods to adjust for continuous covariates in the analysis of randomised trials The virological durability of first-line ART among HIV-positive adult patients in resource limited settings without virological monitoring: a retrospective analysis of DART trial data.Measuring the Association Between Body Mass Index and All-Cause Mortality in the Presence of Missing Data: Analyses From the Scottish National Diabetes Register.Severe liver disease related to chronic hepatitis C virus infection in treatment-naive patients: epidemiological characteristics and associated factors at first expert centre visit, France, 2000 to 2007 and 2010 to 2014.Prognostic value of routine laboratory variables in prediction of breast cancer recurrence Development and validation of QDiabetes-2018 risk prediction algorithm to estimate future risk of type 2 diabetes: cohort study.Prediction of age at menopause in women with polycystic ovary syndrome.External validation, update and development of prediction models for pre-eclampsia using an Individual Participant Data (IPD) meta-analysis: the International Prediction of Pregnancy Complication Network (IPPIC pre-eclampsia) protocol

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P2860

Combining fractional polynomial model building with multiple imputation.

http://www.wikidata.org/entity/Q36912447

description

2015 nî lūn-bûn

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

@zh-tw

2015年论文

@wuu

2015年论文

@zh

2015年论文

@zh-cn

name

Combining fractional polynomial model building with multiple imputation.

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type

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Combining fractional polynomial model building with multiple imputation.

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Combining fractional polynomial model building with multiple imputation.

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Statistics in Medicine

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Combining fractional polynomial model building with multiple imputation.

@en

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Ian R White

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Simon J Stanworth

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P2860

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

A new proposal for multivariable modelling of time-varying effects in survival data based on fractional polynomial time-transformation.

How should variable selection be performed with multiply imputed data?

Development and validation of a prediction model with missing predictor data: a practical approach.

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

A Review of Hot Deck Imputation for Survey Non-response

Tuning multiple imputation by predictive mean matching and local residual draws.

Reappraising the concept of massive transfusion in trauma

Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.

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

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3298-3317

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scholarly article

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10.1002/SIM.6553

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25

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34

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James Carpenter

Patrick Royston

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2015-06-10T00:00:00Z

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278390235

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26095614

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4871237

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