Results 1 to 10 of about 2,058,289 (307)

Joint modeling of longitudinal and time-to-event data for dynamic disease risk prediction using proteomics. [PDF]

Protein Sci
Lindén M, Ammunét T, Välikangas T, Elo LL, Suomi T.   +4 more
europepmc   +1 more source

Longitudinal interprofessional education in health profession education: a scoping review. [PDF]

Korean J Med Educ
Hermasari BK, Rahayu GR, Pamungkasari EP.   +2 more
europepmc   +1 more source

Transverse and Longitudinal Bose-Einstein Correlations in ... Annihilation

, 1997
: We show how a difference in the correlation length longitudinally and transversely, with respect to the jet axis in e + e \Gamma annihilation, arises naturally in a model for Bose-Einstein correlations based on the Lund string model.
Longitudinal Bose-einstein Correlations, Markus Ringnér   +1 more
core  

The DeepJoint Algorithm: An Innovative Approach for Studying the Longitudinal Evolution of Quantitative Mammographic Density and Its Association With Screen-Detected Breast Cancer Risk. [PDF]

Biom J
Rakez M, Guillaumin J, Chick A, Coureau G, Chamming's F, Fillard P, Amadeo B, Rondeau V.   +7 more
europepmc   +1 more source

Longitudinal aging research in East and Southeast Asia: representativeness or depth? [PDF]

Lancet Reg Health West Pac
Chen LK, Peng LN, Hsiao FY.
europepmc   +1 more source

Analyzing Longitudinal Data with Non-ignorable Missing

, 2006
In longitudinal studies, data are often missing despite every attempt made to collect complete data. When the missingness is informative and hence not ignorable, it is generally difficult to analyze non-ignorable missing (NIM) data since the ...
Zhu, Liansheng
core  

Data-driven subtyping and staging of ALS: A multicenter, longitudinal, deformation-based morphometry study. [PDF]

Imaging Neurosci (Camb)
Lajoie I, Kalra S, Dadar M.
europepmc   +1 more source

Correction: The UK Coronavirus Job Retention Scheme and diet, physical activity, and sleep during the COVID-19 pandemic: evidence from eight longitudinal population surveys

BMC Medicine, 2022
Bożena Wielgoszewska, Jane Maddock, Michael J. Green, Giorgio Di Gessa, Sam Parsons, Gareth J. Griffith, Jazz Croft, Anna J. Stevenson, Charlotte Booth, Richard J. Silverwood, David Bann, Praveetha Patalay, Alun D. Hughes, Nishi Chaturvedi, Laura D. Howe, Emla Fitzsimons, Srinivasa Vittal Katikireddi, George B. Ploubidis   +17 more
doaj   +1 more source

Five-year change in brain metabolism across the spectrum of cognitive impairment in older adults: a quantitative MRI study. [PDF]

Alzheimers Dement
Wu J, Oishi K, Soldan A, Pettigrew C, Lin Z, Zhu Y, Jiang D, Li X, Gou Y, Moghekar A, Liu P, Bakker A, Oishi K, Albert M, Lu H.   +14 more
europepmc   +1 more source

ON BASELINE CONDITIONS FOR ZERO-INFLATED LONGITUDINAL COUNT DATA [PDF]

We describe a mixed-effects hurdle model for zero-inflated longitudinal count data, where a baseline variable is included in the model specification. Association between the count data process and the endogenous baseline variable is modeled through a ...
Valentina Raponi, Antonello Maruotti
core