Modeling longitudinal data and its impact on survival in observational nephrology studies: tools and considerations: Clinical Epidemiology in Nephrology
Sign Up to like & getrecommendations! Published in 2017 at "Nephrology Dialysis Transplantation"
DOI: 10.1093/ndt/gfx015
Abstract: Abstract Nephrologists and kidney disease researchers are often interested in monitoring how patients’ clinical and laboratory measures change over time, what factors may impact these changes, and how these changes may lead to differences in… read more here.
Keywords: longitudinal data; nephrology; modeling longitudinal; epidemiology ... See more keywords
An alternative classification to mixture modeling for longitudinal counts or binary measures
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DOI: 10.1177/0962280214549040
Abstract: Classifying patients according to longitudinal measures, or trajectory classification, has become frequent in clinical research. The k-means algorithm is increasingly used for this task in case of continuous variables with standard deviations that do not… read more here.
Keywords: classification; classification mixture; modeling longitudinal; alternative classification ... See more keywords