Latent class analysis is useful to classify pregnant women into dietary patterns (Q34308298)

1 August 2017

title

Latent class analysis is useful to classify pregnant women into dietary patterns (English)

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1 August 2017

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Anna Maria Siega-Riz

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1 August 2017

Amy H Herring

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1 August 2017

Daniela Sotres-Alvarez

series ordinal

object named as

Daniela Sotres-Alvarez

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1 August 2017

language of work or name

English

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publication date

20 October 2010

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1 August 2017

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1 August 2017

volume

140

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1 August 2017

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1 August 2017

page(s)

2253-2259

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PROC LCA: A SAS Procedure for Latent Class Analysis

1 August 2017

cites work

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6 July 2018

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Empirically derived eating patterns using factor or cluster analysis: a review

6 July 2018

1 reference

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Dietary patterns and health outcomes.

6 July 2018

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Dietary pattern analysis: a new direction in nutritional epidemiology

6 July 2018

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Major dietary patterns in pregnancy and fetal growth

6 July 2018

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Dietary patterns and prostate cancer risk in the National Health and Nutrition Examination Survey Epidemiological Follow-up Study cohort

21 January 2018

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Tracing the Mediterranean diet through principal components and cluster analyses in the Greek population

21 January 2018

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Finite mixture modeling with mixture outcomes using the EM algorithm

21 January 2018

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Classical latent variable models for medical research

21 January 2018

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Disentangling women's responses on complex dietary intake patterns from an Indian cross-sectional survey: a latent class analysis

28 October 2018

1 reference

https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pmc&linkname=pmc_refs_pubmed&retmode=json&id=2981007

Dietary patterns: report of an international workshop.

28 October 2018

1 reference

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Comparison of two dietary questionnaires validated against multiple dietary records collected during a 1-year period

28 October 2018

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Dietary Patterns: Challenges and Opportunities in Dietary Patterns Research

28 October 2018

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Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods

21 January 2018

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PubMed

https://pubmed.ncbi.nlm.nih.gov/20962151

inferred from PubMed ID database lookup

12 December 2020

based on heuristic

Identifiers

DOI

10.3945/JN.110.124909

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1 August 2017

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1 August 2017

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