Regularized approach for data missing not at random.

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Regularized approach for data missing not at random.

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2017 nî lūn-bûn

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2017年の論文

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2017年学术文章

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2017年学术文章

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Regularized approach for data missing not at random.

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Regularized approach for data missing not at random.

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Regularized approach for data missing not at random.

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P1476

Regularized approach for data missing not at random.

@en

P2093

Chi-Hong Tseng

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

Yi-Hau Chen

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P2860

A joint model for longitudinal measurements and survival data in the presence of multiple failure types.

Pseudo-likelihood methods for longitudinal binary data with non-ignorable missing responses and covariates.

Semiparametric models for missing covariate and response data in regression models.

An approach to joint analysis of longitudinal measurements and competing risks failure time data.

Longitudinal Data with Follow-up Truncated by Death: Match the Analysis Method to Research Aims

Principal stratification in causal inference

Cyclophosphamide versus placebo in scleroderma lung disease.

Correlation of cough with disease activity and treatment with cyclophosphamide in scleroderma interstitial lung disease: findings from the Scleroderma Lung Study.

Incorporating prior beliefs about selection bias into the analysis of randomized trials with missing outcomes.

Differential gene expression detection using penalized linear regression models: the improved SAM statistics.

P304

134-150

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P31

scholarly article

P356

10.1177/0962280217717760

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P433

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

P478

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

P577

2017-01-01T00:00:00Z

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P698

28671033

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P932

7162734

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Regularized approach for data missing not at random.

about

Regularized approach for data missing not at random.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698

P932

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P433

P478

P577

P698

P932