A circular LEAR correlation structure for cyclical longitudinal data. - Wikidata - awgldk - TriplyDB

A circular LEAR correlation structure for cyclical longitudinal data.

A circular LEAR correlation structure for cyclical longitudinal data.

http://www.wikidata.org/entity/Q33788915

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An analysis of 24-h ambulatory blood pressure monitoring data using orthonormal polynomials in the linear mixed model Analysis of Feedback Mechanisms with Unknown Delay Using Sparse Multivariate Autoregressive Method.

P2860

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P2860

A circular LEAR correlation structure for cyclical longitudinal data.

http://www.wikidata.org/entity/Q33788915

description

2011 nî lūn-bûn

@nan

2011 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2011 թվականի հունվարին 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

@zh-tw

2011年论文

@wuu

name

A circular LEAR correlation structure for cyclical longitudinal data.

@ast

A circular LEAR correlation structure for cyclical longitudinal data.

@en

type

label

A circular LEAR correlation structure for cyclical longitudinal data.

@ast

A circular LEAR correlation structure for cyclical longitudinal data.

@en

prefLabel

A circular LEAR correlation structure for cyclical longitudinal data.

@ast

A circular LEAR correlation structure for cyclical longitudinal data.

@en

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P1433

Statistical Methods in Medical Research

P1476

A circular LEAR correlation structure for cyclical longitudinal data.

@en

P2093

Lloyd J Edwards

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Sean L Simpson

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P2860

A new look at the statistical model identification

A clinical trial of the effects of dietary patterns on blood pressure. DASH Collaborative Research Group

Estimating the Dimension of a Model

Analysis of Longitudinal Data with Semiparametric Estimation of Covariance Function.

Analysis of ambulatory blood pressure monitor data using a hierarchical model incorporating restricted cubic splines and heterogeneous within-subject variances.

24-hour blood pressure measurement in antihypertensive drug trials: data requirements and methods of analysis.

The application of large Gaussian mixed models to the analysis of 24 hour ambulatory blood pressure monitoring data in clinical trials.

A linear exponent AR(1) family of correlation structures

General methods for analysing repeated measures.

A method for fitting regression splines with varying polynomial order in the linear mixed model.

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296-306

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scholarly article

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10.1177/0962280210395741

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3

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22

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2011-01-07T00:00:00Z

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21216801

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