Results 21 to 30 of about 3,225,781 (282)

Analysis of longitudinal metabolomics data [PDF]

Bioinformatics, 2004
Abstract Motivation: Metabolomics datasets are generally large and complex. Using principal component analysis (PCA), a simplified view of the variation in the data is obtained. The PCA model can be interpreted and the processes underlying the variation in the data can be analysed.
Jansen, J.J., Hoefsloot, H.C.J., Boelens, H.F.M., van der Greef, J., Smilde, A.K.   +4 more
openaire   +4 more sources

Penalized spline estimator with multi smoothing parameters in bi-response multi-predictor nonparametric regression model for longitudinal data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2020
Penalized spline estimators that depend on a smoothing parameter is one type of estimator used in the estimation regression curve in nonparametric regression.
Anna Islamiyati, Fatmawati, Nur Chamidah
doaj   +1 more source

Outcomes of the Health Data Research Network (HDRN) Canada and Canadian Longitudinal Study on Aging (CLSA) Partnership

International Journal of Population Data Science
Objective and Approach The Canadian Longitudinal Study on Aging (CLSA) is the largest national longitudinal cohort study, following ~50,000 adults across 10 provinces for at least 20 years. Health Data Research Network (HDRN) Canada is a distributed pan-
Anne Hayes, Sophie Hogeveen, Jodi Gatley, Andrew Costa, Lauren Griffith, Aaron Jones, Sarah Youssef, Parminder Raina, Andrea Gruneir, Carrie Anne Whyte, Carla Hovey, Marie-Chantal Ethier, Donna Curtis Maillet, Mahmoud Azimaee, Erik Youngson, Tim Choi, Lindsey Gilbert, Magda Nunes De Melo, Lindsay Stewart, Kendra Lester, Katelyn Frizzell, Robyn Kydd, Mary-Ann Standing, Charles Burchill, Dave Towns, Jean-Francois Cantin   +25 more
doaj   +1 more source

Functional single index models for longitudinal data

, 2011
A new single-index model that reflects the time-dynamic effects of the single index is proposed for longitudinal and functional response data, possibly measured with errors, for both longitudinal and time-invariant covariates.
Jiang, Ci-Ren, Wang, Jane-Ling
core   +1 more source

A generalized linear mixed model for longitudinal binary data with a marginal logit link function [PDF]

, 2011
Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over
Fitzmaurice, Garrett M., Ghosh, Souparno, Ibrahim, Joseph G., Lipsitz, Stuart, Mallick, Bani K., Parzen, Michael, Sinha, Debajyoti   +6 more
core   +3 more sources

Co-development and Adoption of Transparency in Data Access Standards: Process, Implementation, and Impact

International Journal of Population Data Science
Objectives This initiative aimed to enhance transparency in health data access processes by co-developing and implementing clear standards. The goal was to improve public trust and understanding, streamline governance, and promote meaningful public ...
Ester Bellavia, Alan Holcroft, Yemi Macaulay, Doreen Tembo, Cassie Smith, Andy Boyd   +5 more
doaj   +1 more source

The Need for Household Panel Surveys in Times of Crisis: The Case of SOEP-CoV

Survey Research Methods, 2020
The spread of the novel coronavirus, SARS-CoV-2, poses major challenges for individuals and societies at large. The question now is how individuals and society are dealing with these challenges, and what health, psychological, social, and economic
Simon Kühne, Martin Kroh, Stefan Liebig, Sabine Zinn   +3 more
doaj   +1 more source

An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data

, 2010
In many medical studies, patients are followed longitudinally and interest is on assessing the relationship between longitudinal measurements and time to an event.
Albert, Paul S., Shih, Joanna H.
core   +1 more source

Modeling left-truncated and right-censored survival data with longitudinal covariates [PDF]

, 2012
There is a surge in medical follow-up studies that include longitudinal covariates in the modeling of survival data. So far, the focus has been largely on right-censored survival data.
Su, Yu-Ru, Wang, Jane-Ling
core   +1 more source

Embedding Public Voices in Data Governance: Insights from the GUARDS Principles Consultation

International Journal of Population Data Science
Objectives This project explored public perspectives on the GUARDS Principles, an overarching governance framework for the population data research community, which builds on existing good practice guidance.
Ester Bellavia, Rachel Brophy, Sonia Patton, Doreen Tembo, Cassie Smith, Andy Boyd   +5 more
doaj   +1 more source