Curve fitting for repeated measurements made at irregular time-points.

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

In longitudinal studies of human populations, it is often not feasible to measure all subjects at the same time-points. This precludes the use of classical methods of curve fitting for repeated measurements. When the total interval of follow-up is short for all subjects in the study, an intraclass correlation matrix is assumed for the measurements on each subject. An estimation procedure based on iteratively reweighted least squares is described. The model is then generalized to incorporate covariables, with little modification in the estimation procedure. The proposed method is applied to data from a longitudinal study of bone mass in postmenopausal women.

Original languageEnglish
Pages (from-to)691-697
Number of pages7
JournalBiometrics
Volume40
Issue number3
StatePublished - Sep 1984
Externally publishedYes

Fingerprint

Repeated Measurements
Curve fitting
Longitudinal Study
longitudinal studies
Irregular
Iteratively Reweighted Least Squares
Intraclass Correlation
Correlation Matrix
Bone
human population
Longitudinal Studies
least squares
bones
Interval
Least-Squares Analysis
methodology
Bone and Bones
Model
Population
Human

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics
  • Statistics and Probability
  • Public Health, Environmental and Occupational Health

Cite this

Curve fitting for repeated measurements made at irregular time-points. / Hui, Siu.

In: Biometrics, Vol. 40, No. 3, 09.1984, p. 691-697.

Research output: Contribution to journalArticle

@article{ccf047a28afb405eb4d8a79c3a931ad4,
title = "Curve fitting for repeated measurements made at irregular time-points.",
abstract = "In longitudinal studies of human populations, it is often not feasible to measure all subjects at the same time-points. This precludes the use of classical methods of curve fitting for repeated measurements. When the total interval of follow-up is short for all subjects in the study, an intraclass correlation matrix is assumed for the measurements on each subject. An estimation procedure based on iteratively reweighted least squares is described. The model is then generalized to incorporate covariables, with little modification in the estimation procedure. The proposed method is applied to data from a longitudinal study of bone mass in postmenopausal women.",
author = "Siu Hui",
year = "1984",
month = "9",
language = "English",
volume = "40",
pages = "691--697",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley-Blackwell",
number = "3",

}

TY - JOUR

T1 - Curve fitting for repeated measurements made at irregular time-points.

AU - Hui, Siu

PY - 1984/9

Y1 - 1984/9

N2 - In longitudinal studies of human populations, it is often not feasible to measure all subjects at the same time-points. This precludes the use of classical methods of curve fitting for repeated measurements. When the total interval of follow-up is short for all subjects in the study, an intraclass correlation matrix is assumed for the measurements on each subject. An estimation procedure based on iteratively reweighted least squares is described. The model is then generalized to incorporate covariables, with little modification in the estimation procedure. The proposed method is applied to data from a longitudinal study of bone mass in postmenopausal women.

AB - In longitudinal studies of human populations, it is often not feasible to measure all subjects at the same time-points. This precludes the use of classical methods of curve fitting for repeated measurements. When the total interval of follow-up is short for all subjects in the study, an intraclass correlation matrix is assumed for the measurements on each subject. An estimation procedure based on iteratively reweighted least squares is described. The model is then generalized to incorporate covariables, with little modification in the estimation procedure. The proposed method is applied to data from a longitudinal study of bone mass in postmenopausal women.

UR - http://www.scopus.com/inward/record.url?scp=0021496523&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0021496523&partnerID=8YFLogxK

M3 - Article

VL - 40

SP - 691

EP - 697

JO - Biometrics

JF - Biometrics

SN - 0006-341X

IS - 3

ER -