Results 21 to 30 of about 3,168,034 (334)

Longitudinal Data Analysis [PDF]

Longitudinal Data Analysis
Cheng Hsiao
openaire   +2 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

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

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

The reciprocal relationship between mathematics self-efficacy and mathematics performance in US high school students: Instrumental variables estimates and gender differences

Frontiers in Psychology, 2022
ObjectiveTo investigate the reciprocal relationship between high school students’ academic self-efficacy and achievement in mathematics using US data from the HSLS:2009 and first follow-up longitudinal surveys, while accounting for biases in effect ...
Chris Sakellariou
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

Estimating correlation between multivariate longitudinal data in the presence of heterogeneity [PDF]

, 2017
Background Estimating correlation coefficients among outcomes is one of the most important analytical tasks in epidemiological and clinical research. Availability of multivariate longitudinal data presents a unique opportunity to assess joint evolution ...
Beiser, Julia A, Chen, Ling, Gao, Feng, Gordon, Mae O, Luo, Jingqin, Miller, J. Philip, Xiong, Chengjie   +6 more
core   +3 more sources

Predictive utility of key family planning indicators on dynamic contraceptive outcomes: Results from longitudinal surveys in Burkina Faso, Kenya, Uganda, and Côte d'Ivoire [PDF]

Demographic Research
BACKGROUND: Many health and demographic surveys routinely collect information on women’s exposure to family planning (FP) messages, counseling on contraceptive side effects, discussions about FP with providers, contraceptive decision-making autonomy, and
Amy Tsui, Dana Sarnak, Phil Anglewicz, Fredrick Makumbi, Georges Guiella, Peter Gichangi, Rosine Mosso, Saifuddin Ahmed   +7 more
doaj   +1 more source

Longitudinal Scalar-on-Function Regression with Application to Tractography Data [PDF]

, 2012
We propose a class of estimation techniques for scalar-on-function regression in longitudinal studies where both outcomes, such as test results on motor functions, and functional predictors, such as brain images, may be observed at multiple visits.
Crainiceanu, Ciprian, Gertheiss, Jan, Goldsmith, Jeff, Greven, Sonja   +3 more
core   +1 more source

Associations between Longitudinal Gestational Weight Gain and Scalar Infant Birth Weight: A Bayesian Joint Modeling Approach

Entropy, 2022
Despite the importance of maternal gestational weight gain, it is not yet conclusively understood how weight gain during different stages of pregnancy influences health outcomes for either mother or child.
Matthew Pietrosanu, Linglong Kong, Yan Yuan, Rhonda C. Bell, Nicole Letourneau, Bei Jiang   +5 more
doaj   +1 more source