Using fractional polynomials to model non-linear trends in longitudinal data.
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Model Selection with the Linear Mixed Model for Longitudinal Data.Bayesian hierarchical piecewise regression models: a tool to detect trajectory divergence between groups in long-term observational studies.A growth curve model with fractional polynomials for analysing incomplete time-course data in microarray gene expression studies.Modelling childhood growth using fractional polynomials and linear splines.Normalized lactate load is associated with development of acute kidney injury in patients who underwent cardiopulmonary bypass surgeryA longitudinal model for disease progression was developed and applied to multiple sclerosis.Longitudinal evaluation of physician payment reform and team-based care for chronic disease management and prevention.Adolescent bariatric surgery: caregiver and family functioning across the first postoperative yearModeling physical growth using mixed effects models.Academic achievement trajectories of homeless and highly mobile students: resilience in the context of chronic and acute risk.A longitudinal study of lexical development in children learning Vietnamese and English.Analysis of cluster randomised stepped wedge trials with repeated cross-sectional samples.Secular trends in the fat and fat-free components of body mass index in children aged 8-18 years born 1958-1995.Characterization of the infant BMI peak: sex differences, birth year cohort effects, association with concurrent adiposity, and heritability.The Shape of the Dose-Response Relationship between Sugars and Caries in Adults.Is infant body mass index associated with adulthood body composition trajectories? An exploratory analysis.Impaired response to treatment with tumour necrosis factor α inhibitors in smokers with axial spondyloarthritis.Fitting the Fractional Polynomial Model to Non-Gaussian Longitudinal Data.The growth of Portuguese and Cape Verdean infants aged 0-1 year living in Greater Lisbon, Portugal in 1993-1996.Neonatal hyperglycemia and diminished long-term growth in very low birth weight preterm infants.Effects of the Medicare Modernization Act on Spending for Outpatient Surgery.Review ofDiscovering Structural Equation Modeling Using Stata—Revised Edition,Early Mathematics Skills From Prekindergarten to First GradeDerivative estimation for longitudinal data analysis: Examining features of blood pressure measured repeatedly during pregnancyA longitudinal analysis of sentence interpretation in bilingual childrenSmoothing using fractional polynomials: an alternative to polynomials and splines in applied research
P2860
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P2860
Using fractional polynomials to model non-linear trends in longitudinal data.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Using fractional polynomials to model non-linear trends in longitudinal data.
@ast
Using fractional polynomials to model non-linear trends in longitudinal data.
@en
type
label
Using fractional polynomials to model non-linear trends in longitudinal data.
@ast
Using fractional polynomials to model non-linear trends in longitudinal data.
@en
prefLabel
Using fractional polynomials to model non-linear trends in longitudinal data.
@ast
Using fractional polynomials to model non-linear trends in longitudinal data.
@en
P356
P1476
Using fractional polynomials to model non-linear trends in longitudinal data
@en
P2093
Jihoon Ryoo
P304
P356
10.1348/000711009X431509
P577
2009-05-29T00:00:00Z