Functional multiple indicators, multiple causes measurement error models-Reference-Cited by-同舟云学术

Functional multiple indicators, multiple causes measurement error models

Published:2017-05-08 Issue:1 Volume:74 Page:127-134
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biom

Author:

Tekwe Carmen D.¹^ORCID,Zoh Roger S.¹,Bazer Fuller W.²,Wu Guoyao²,Carroll Raymond J.³⁴

Affiliation:

1. Department of Epidemiology and Biostatistics; Texas A&M University; College Station Texas U.S.A.

2. Department of Animal Science; Texas A&M University; College Station Texas U.S.A.

3. Department of Statistics; Texas A&M University; College Station Texas U.S.A.

4. School of Mathematical Sciences; University of Technology; Broadway Sydney, New South Wales 2007 Australia

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/biom.12706/fullpdf

Reference29 articles.

1. Estimating human energy expenditure;Ainslie;Sports Medicine,2003

2. Type I conceptus interferons: Maternal recognition of pregnancy signals and potential therapeutic agents;Bazer;American Journal of Reproductive Immunology,1991

3. Customer equity management as formative second-order construct;Bruhn;Journal of Business Research,2008

4. Influence of body composition and resting metabolic rate on variation in total energy expenditure: A meta-analysis;Carpenter;The American Journal of Clinical Nutrition,1995

5. Discussion: Conditional growth charts;Carroll;Annals of Statistics,2006

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling approaches for assessing device-based measures of energy expenditure in school-based studies of body weight status;Frontiers in Applied Mathematics and Statistics;2024-06-26

2. Misstatements, misperceptions, and mistakes in controlling for covariates in observational research;eLife;2024-05-16

3. On learner characteristics and why we should model them as latent variables;International Journal of Learner Corpus Research;2022-12-31

4. Comparing multiple statistical software for multiple-indicator, multiple-cause modeling: an application of gender disparity in adult cognitive functioning using MIDUS II dataset;BMC Medical Research Methodology;2020-11-12

5. Instrumental variable approach to estimating the scalar‐on‐function regression model with measurement error with application to energy expenditure assessment in childhood obesity;Statistics in Medicine;2019-06-20