Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values. - Wikidata - awgldk - TriplyDB

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

http://www.wikidata.org/entity/Q31035258

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A Heterogeneous Growth Curve Model for Nonnormal Data.On the analysis of very small samples of Gaussian repeated measurements: an alternative approach.The (Ir)Responsibility of (Under)Estimating Missing Data.

P2860

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P2860

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

http://www.wikidata.org/entity/Q31035258

description

2011 nî lūn-bûn

@nan

2011 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2011年の論文

@ja

2011年論文

@yue

2011年論文

@zh-hant

2011年論文

@zh-hk

2011年論文

@zh-mo

2011年論文

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2011年论文

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name

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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type

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Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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prefLabel

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

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00273171.2011.625320

P1433

Multivariate Behavioral Research

P1476

Comparison of Modern Methods for Analyzing Repeated Measures Data With Missing Values.

@en

P2093

E Tuero-Herrero

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G Vallejo

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M P Fernández

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P E Livacic-Rojas

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P2860

Missing data: our view of the state of the art

Random-effects models for longitudinal data

Modelling covariance structure in the analysis of repeated measures data.

Analysis of antiretroviral immunotherapy trials with potentially non-normal and incomplete longitudinal data.

An overview of practical approaches for handling missing data in clinical trials.

The design of simulation studies in medical statistics.

The Case for Use of Simple Difference Scores to Test the Significance of Differences in Mean Rates of Change in Controlled Repeated Measurements Designs.

A randomized, controlled, double-blind study comparing the survival benefit of four different reverse transcriptase inhibitor therapies (three-drug, two-drug, and alternating drug) for the treatment of advanced AIDS. AIDS Clinical Trial Group 193A S

MMRM vs. LOCF: a comprehensive comparison based on simulation study and 25 NDA datasets.

Selecting the best unbalanced repeated measures model.

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900-937

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scholarly article

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10.1080/00273171.2011.625320

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6

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46

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