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  • LATEST MANUSCRIPTS IN International Journal of Population Data Science
  • Branislav Igic, Rachel Farber, Maria Alfaro-Ramirez, Michael A Nelson, Lee K Taylor. The impact of cross-jurisdictional patient flows on ascertainment of hospitalisations and cardiac procedures for ST-segment-elevation myocardial infarction in an Australian population. International journal of population data science. 2023, 8 (1): 1751
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  • Katharina Diernberger, Xhyljeta Luta, Joanna Bowden, Joanne Droney, Elizabeth Lemmon, Giovanni Tramonti, Bethany Shinkins, Ewan Gray, Joachim Marti, Peter S Hall. Variation in hospital cost trajectories at the end of life by age, multimorbidity and cancer type. International journal of population data science. 2023, 8 (1): 1768
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  • Themba Mutemaringa, Alexa Heekes, Mariette Smith, Andrew Boulle, Nicki Tiffin. Record linkage for routinely collected health data in an African health information exchange. International journal of population data science. 2023, 8 (1): 1771
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  • Jeanne Sinclair, Scott Davies, Magdalena Janus. Student achievement trajectories in Ontario: Creating and validating a province-wide, multi-cohort and longitudinal database. International journal of population data science. 2023, 8 (1): 1843
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  • Jamie Danemayer, Sophie Mitra, Cathy Holloway, Shereen Hussein. Assistive technology access in longitudinal datasets: a global review. International journal of population data science. 2023, 8 (1): 1901
    Cited : 1
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  • Francesca L Cavallaro, Rebecca Cannings-John, Fiona Lugg-Widger, Ruth Gilbert, Eilis Kennedy, Sally Kendall, Michael Robling, Katie L Harron. Lessons learned from using linked administrative data to evaluate the Family Nurse Partnership in England and Scotland. International journal of population data science. 2023, 8 (1): 2113
    Cited : 2
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  • Peter Christen, Rainer Schnell. Thirty-three myths and misconceptions about population data: from data capture and processing to linkage. International journal of population data science. 2023, 8 (1): 2115
    Cited : 2
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  • Lindsay A Pearce, Rohan Borschmann, Jesse T Young, Stuart A Kinner. Advancing cross-sectoral data linkage to understand and address the health impacts of social exclusion: Challenges and potential solutions. International journal of population data science. 2023, 8 (1): 2116
    Cited : 1
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  • Shona M Kerr, Rachel Edwards, David Buchanan, John Dean, Zosia Miedzybrodzka, James F Wilson. VIKING II, a worldwide observational cohort of volunteers with northern isles ancestry. International journal of population data science. 2023, 8 (1): 2121
    Cited : 1
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  • Rainer Schnell, Severin Weiand. Microsimulation of an educational attainment register to predict future record linkage quality. International journal of population data science. 2023, 8 (1): 2122
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  • Nadine E Andrew, Richard Beare, Tanya Ravipati, Emily Parker, David Snowdon, Kim Naude, Velandai Srikanth. Developing a linked electronic health record derived data platform to support research into healthy ageing. International journal of population data science. 2023, 8 (1): 2129
    Cited : 4
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  • Piotr Teodorowski, Sarah E Rodgers, Kate Fleming, Naheed Tahir, Saiqa Ahmed, Lucy Frith. Exploring how to improve the involvement of Polish and South Asian communities around big data research. A qualitative study using COM-B model. International journal of population data science. 2023, 8 (1): 2130
    Cited : 1
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  • Julia Nadine Doetsch, Eero Kajantie, Vasco Dias, Marit S Indredavik, Randi Kallar Devold, Raquel Teixeira, Jarkko Reittu, Henrique Barros. Record linkage as a vital key player for the COVID-19 syndemic - The call for legal harmonization to overcome research challenges. International journal of population data science. 2023, 8 (1): 2131
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  • Iffat Naeem, Meriem Aroua, Nashit Chowdhury, Vineet Saini, Hude Quan, Tanvir C Turin. Color coded health data: factors related to willingness to share health information in South Asian community members in Canada. International journal of population data science. 2023, 8 (1): 2134
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  • Jing Wang, Yanhong Jessika Hu, Lana Collins, Anna Fedyukova, Varnika Aggarwal, Fiona Mensah, Jeanie L Y Cheong, Melissa Wake, . Study protocol: Generation Victoria (GenV) special care nursery registry. International journal of population data science. 2023, 8 (1): 2139
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