Joint modelling rationale for chained equations - Wikidata - awgldk - TriplyDB

Joint modelling rationale for chained equations

Joint modelling rationale for chained equations

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Handling missing data in matched case-control studies using multiple imputation.Multiple imputation and analysis for high-dimensional incomplete proteomics data Multiple imputation by chained equations for systematically and sporadically missing multilevel data.Multiple imputation of covariates by fully conditional specification: Accommodating the substantive model.Handling incomplete correlated continuous and binary outcomes in meta-analysis of individual participant data Missing covariates in competing risks analysis.A comparison of existing methods for multiple imputation in individual participant data meta-analysis.Multiple imputation for IPD meta-analysis: allowing for heterogeneity and studies with missing covariates.Relative efficiency of joint-model and full-conditional-specification multiple imputation when conditional models are compatible: The general location model.Multiple imputation of missing covariates for the Cox proportional hazards cure model.Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors

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Joint modelling rationale for chained equations

http://www.wikidata.org/entity/Q35100063

description

2014 nî lūn-bûn

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2014 թուականի Փետրուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի փետրվարին հրատարակված գիտական հոդված

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2014年の論文

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2014年学术文章

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2014年学术文章

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2014年学术文章

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2014年学术文章

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2014年学术文章

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2014年學術文章

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Joint modelling rationale for chained equations

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Joint modelling rationale for chained equations

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P2860

Multiple imputation of missing genotype data for unrelated individuals.

Much ado about nothing: A comparison of missing data methods and software to fit incomplete data regression models.

Multiple imputation of discrete and continuous data by fully conditional specification.

Evaluation of software for multiple imputation of semi-continuous data.

Multiple imputation by chained equations: what is it and how does it work?

Parity and breastfeeding are protective against breast cancer in Nigerian women.

Multiple imputation: current perspectives.

Long-term immunologic response to antiretroviral therapy in low-income countries: a collaborative analysis of prospective studies.

Multiple imputation using chained equations: Issues and guidance for practice

Physical activity and emotional problems amongst adolescents : a longitudinal study.

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