Biased and unbiased estimation in longitudinal studies with informative visit processes. - Wikidata - awgldk - TriplyDB

Biased and unbiased estimation in longitudinal studies with informative visit processes.

Biased and unbiased estimation in longitudinal studies with informative visit processes.

http://www.wikidata.org/entity/Q37262974

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Interpretation of mixed models and marginal models with cohort attrition due to death and drop-out.Semiparametric Bayesian models for evaluating time-variant driving risk factors using naturalistic driving data and case-crossover approach.

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Biased and unbiased estimation in longitudinal studies with informative visit processes.

http://www.wikidata.org/entity/Q37262974

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 17 March 2016

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

Biased and unbiased estimation in longitudinal studies with informative visit processes.

@en

Biased and unbiased estimation in longitudinal studies with informative visit processes.

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type

label

Biased and unbiased estimation in longitudinal studies with informative visit processes.

@en

Biased and unbiased estimation in longitudinal studies with informative visit processes.

@nl

prefLabel

Biased and unbiased estimation in longitudinal studies with informative visit processes.

@en

Biased and unbiased estimation in longitudinal studies with informative visit processes.

@nl

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Biased and unbiased estimation in longitudinal studies with informative visit processes.

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Charles E McCulloch

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John M Neuhaus

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Rebecca L Olin

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P2860

Sample Selection Bias as a Specification Error

Analysis of longitudinal data in the presence of informative observational times and a dependent terminal event, with application to medical cost data.

Marginal analyses of clustered data when cluster size is informative.

Latent pattern mixture models for informative intermittent missing data in longitudinal studies.

Estimation in regression models for longitudinal binary data with outcome-dependent follow-up.

Regression analysis of panel count data with dependent observation times.

An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outs.

Estimation of covariate effects in generalized linear mixed models with informative cluster sizes

A joint model for survival and longitudinal data measured with error.

Selection models for repeated measurements with non-random dropout: an illustration of sensitivity.

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1315-1324

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scholarly article

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10.1111/BIOM.12501

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4

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72

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2016-03-17T00:00:00Z

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