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Predictors of male loneliness across life stages: an Australian study of longitudinal data.

• Authors : Botha, Ferdi^1,2 (AUTHOR); Bower, Marlee³ (AUTHOR)

• Source: BMC Public Health. 5/10/2024, Vol. 24 Issue 1, p1-11. 11p.

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Factors that predict the acceptance and adoption of smart home technology by seniors in Australia: a structural equation model with longitudinal data.

• Authors : Sorwar, Golam¹ (AUTHOR) ; Aggar, Christina² (AUTHOR); Penman, Olivia² (AUTHOR)

• Source: Informatics for Health & Social Care. 2023, Vol. 48 Issue 1, p80-94. 15p.

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Analysis of Longitudinal Data: Participation in VET [Vocational Education and Training]. Working Paper No. 29.

• Authors : Long, Michael; Monash Univ., Clayton, Victoria (Australia). Centre for the Economics of Education and Training.; Australian Council for Educational Research, Melbourne.

Subjects: Apprenticeships; Articulation (Education); Data AnalysisAustralia

• Source: 19

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Predicting vaping uptake, vaping frequency and ongoing vaping among daily smokers using longitudinal data from the International Tobacco Control (ITC) Four Country Surveys.

• Authors : Chan, Gary¹ (AUTHOR) ; Morphett, Kylie² (AUTHOR); Gartner, Coral^2,3 (AUTHOR)

• Source: Addiction. Oct2019 Supplement S1, Vol. 114, p61-70. 10p. 1 Diagram, 4 Charts.

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The impact of racial discrimination on the health of Australian Indigenous children aged 5-10 years: analysis of national longitudinal data.

• Authors : Shepherd, Carrington C. J.¹ ; Jianghong Li^1,2,3; Cooper, Matthew N.¹

• Source: International Journal for Equity in Health. 7/3/2017, Vol. 16, p1-12. 12p.

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Do family and maternal background matter? A multilevel approach to modelling mental health status of Australian youth using longitudinal data.

• Authors : Hashmi R; Department of Economics, American International University-Bangladesh (AIUB), Dhaka, Bangladesh.; School of Business, Faculty of Business, Education, Law & Arts, University of Southern Queensland, Toowoomba, Queensland, Australia.

Subjects: Family* ; Income*; Adolescent

• Source: PloS one [PLoS One] 2022 Apr 26; Vol. 17 (4), pp. e0267191. Date of Electronic Publication: 2022 Apr 26 (Print Publication: 2022).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Properties of the EQ-5D-3L index distribution when longitudinal data from 27,328 spine surgery procedures are applied to nine national EQ-5D-3L value sets.

• Authors : Joelson A; Department of Orthopedics, Orebro University School of Medical Sciences and Orebro University Hospital, Orebro, Sweden. .; Sigmundsson FG

Subjects: Quality of Life/Quality of Life/Quality of Life/*psychology ; Spine/Spine/Spine/*surgery; Argentina

• Source: Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation [Qual Life Res] 2021 May; Vol. 30 (5), pp. 1467-1475. Date of Publisher: Springer Netherlands Country of Publication: Netherlands NLM ID: 9210257 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Predictors of future employment status among Australian and Swedish school‐leavers: Longitudinal data.

• Authors : Winefield, Anthony H.¹ (AUTHOR); Saebel, Judith¹ (AUTHOR); Hammarström, Anne² (AUTHOR)

• Source: International Journal of Psychology. Oct2005, Vol. 40 Issue 5, p349-356. 8p. 3 Charts.

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A comparison of multiple imputation methods for handling missing values in longitudinal data in the presence of a time-varying covariate with a non-linear association with time: a simulation study.

• Authors : De Silva, Anurika Priyanjali¹; Moreno-Betancur, Margarita^2,3; De Livera, Alysha Madhu¹

• Source: BMC Medical Research Methodology. 7/25/2017, Vol. 17, p1-11. 11p. 1 Diagram, 3 Charts, 2 Graphs.

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Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data.

• Authors : Bhagwat N; Alzheimer’s Disease Neuroimaging Initiative

Subjects: Models, Neurological* ; Symptom Assessment*; Alzheimer Disease/Alzheimer Disease/Alzheimer Disease/*diagnosis

• Source: PLoS computational biology [PLoS Comput Biol] 2018 Sep 14; Vol. 14 (9), pp. e1006376. Date of Electronic Publication: 2018 Sep 14 (Print Publication: 2018).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet

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