A method to determine whether trends in rates over time are meaningful in whole-of-population or large-scale analyses - 24/05/26
Doi : 10.1016/j.jeph.2026.203535
Joanna Y Gong a, b, c, d, e, ⁎ 
, Dianna J Magliano a, f, Jonathan E Shaw a, f, g, Agus Salim a, h, Bendix Carstensen i
, Dianna J Magliano a, f, Jonathan E Shaw a, f, g, Agus Salim a, h, Bendix Carstensen i a Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne VIC 3004, Australia
b Department of Diabetes and Endocrinology, Royal Melbourne Hospital, 300 Grattan Street, Melbourne VIC 3052, Australia
c Department of Endocrinology and Diabetes, Western Health, 176 Furlong Road, Melbourne VIC 3021, Australia
d Department of Medicine, The University of Melbourne, 161 Barry Street, Melbourne VIC 3010, Australia
e School of Translational Medicine, Monash University, 99 Commercial Road, Melbourne VIC 3004, Australia
f School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne VIC 3004, Australia
g School of Life Sciences, La Trobe University, Plenty Road, Melbourne VIC 3056, Australia
h School of Population and Global Health, The University of Melbourne, 207 Bouverie Street, Melbourne VIC 3053, Australia
i Clinical Epidemiology, Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83 2730 Herlev, Denmark
⁎ Corresponding author: Dr Joanna Gong, Baker Heart and Diabetes Institute, 99 Commercial Rd, Melbourne VIC 3004, Australia Baker Heart and Diabetes Institute 99 Commercial Rd Melbourne VIC 3004 Australia
En prensa. Manuscrito Aceptado.
Disponible en línea desde el Sunday 24 May 2026
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