Nature

Longitudinal data analysis for rare variants detection with penalized quadratic inference function

Longitudinal genetic data provide more information regarding genetic effects over time compared with cross-sectional data. Coupled with next-generation sequencing technologies, it becomes reality to ...
Nature

Likelihood contrasts: a machine learning algorithm for binary classification of longitudinal data

Machine learning methods have gained increased popularity in biomedical research during the recent years. However, very few of them support the analysis of longitudinal data, where several samples are ...
ascopubs.org

Multi-institutional comparative effectiveness of advanced cancer longitudinal imaging response evaluation methods: Current practice versus artificial intelligence-assisted.

Prospective validation of a machine learning algorithm to predict short-term mortality among outpatients with cancer. This is an ASCO Meeting Abstract from the 2020 ASCO Annual Meeting I. This ...
National Academies of Sciences%2c Engineering%2c and Medicine

Developing a Methodological Research Program for Longitudinal Studies: A Workshop

The workshop focused on challenges that are specific to the types of longitudinal studies supported by NIA and aimed to identify areas of methodological research that could be pursued in order to ...
National Academies of Sciences%2c Engineering%2c and Medicine

Leveraging Longitudinal Data in Developing Countries: Report of a Workshop

Suggested Citation: "Report: Leveraging Longitudinal Data in Developing Countries." National Research Council. 2002. Leveraging Longitudinal Data in Developing Countries: Report of a Workshop.