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The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study
The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study
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The value of combining individual and small area sociodemographic data for assessing and handling selective participation in cohort studies: Evidence from the Swedish CardioPulmonary bioImage Study

PloS one, 2022, Vol.17 (3), p.e0265088-e0265088 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Bonander et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Bonander et al 2022 Bonander et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0265088 ;PMID: 35259202

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2
Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
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Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019

The Lancet. Public health, 2022-02, Vol.7 (2), p.e105-e125 [Peer Reviewed Journal]

2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license ;Copyright © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. ;2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 2022 ;ISSN: 2468-2667 ;EISSN: 2468-2667 ;DOI: 10.1016/S2468-2667(21)00249-8 ;PMID: 34998485

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3
Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019
Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019
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Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Disease Study 2019

The Lancet. Public health, 2021-07, Vol.6 (7), p.e482-e499 [Peer Reviewed Journal]

2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license ;Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved. ;2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license 2021 ;ISSN: 2468-2667 ;EISSN: 2468-2667 ;DOI: 10.1016/S2468-2667(21)00065-7 ;PMID: 34051920

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4
The overlapping burden of the three leading causes of disability and death in sub-Saharan African children
The overlapping burden of the three leading causes of disability and death in sub-Saharan African children
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The overlapping burden of the three leading causes of disability and death in sub-Saharan African children

Nature communications, 2022-12, Vol.13 (1), p.7457-7457 [Peer Reviewed Journal]

2022. The Author(s). ;The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2022 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-022-34240-6 ;PMID: 36473841

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5
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study
Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study
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Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study

BMC medical informatics and decision making, 2021-08, Vol.21 (1), p.241-241, Article 241 [Peer Reviewed Journal]

2021. The Author(s). ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-021-01590-y ;PMID: 34380485

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