Results 141 to 150 of about 24,426,264 (165)

Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data.

JMIR Med Inform
Ehrig M, Bullock GS, Leng XI, Pajewski NM, Speiser JL.   +4 more
europepmc   +1 more source

Ordinal Outcome State-Space Models for Intensive Longitudinal Data. [PDF]

Psychometrika
Henry TR, Slipetz LR, Falk A, Qiu J, Chen M.   +4 more
europepmc   +1 more source

Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to genetic study. [PDF]

BioData Min
Jahangiri M, Kazemnejad A, Goldfeld KS, Daneshpour MS, Momen M, Mostafaei S, Khalili D, Akbarzadeh M.   +7 more
europepmc   +1 more source

Progression of biological markers in spinocerebellar ataxia type 3: analysis of longitudinal data from the ESMI cohort

Berger M, Garcia-Moreno H, Ferreira M, Hubener-Schmid J, Schaprian T, Wegner P, Elter T, Teichmann K, Santana MM, Grobe-Einsler M, Onder D, Koyak B, Bernsen S, Pereira de Almeida L, Silva P, Ribeiro JA, Cunha I, Gonzalez-Robles C, Khan S, Heslegrave A, Zetterberg H, Lima M, Raposo M, Ferreira AF, Vasconcelos J, van de Warrenburg BP, van Gaalen J, van Prooije TH, de Vries J, Schols L, Riess O, Synofzik M, Timmann D, Thieme A, Erdlenbruch F, Infante J, Pelayo AL, Manrique L, Reetz K, Dogan I, Oz G, Joers JM, Bushara K, Onyike C, Povazan M, Jacobi H, Schmahmann JD, Ratai E, Schmid M, Giunti P, Klockgether T, Faber J.   +51 more
europepmc   +1 more source

Age and gender differences in the value development of Dutch adults in 11 years of longitudinal data.

J Res Pers
Smallenbroek O, Stanciu A.
europepmc   +1 more source

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Longitudinal Data Analysis

Bayesian Approaches in Oncology Using R and OpenBUGS, 2020
Longitudinal studies are quite common in modern clinical trials and cohort studies. Unlike cross-sectional designs, where observations from study subjects are available only at a single time point, individuals in longitudinal or cohort studies are ...
Atanu Bhattacharjee
semanticscholar   +1 more source

Random-effects models for longitudinal data.

Biometrics, 1982
Models for the analysis of longitudinal data must recognize the relationship between serial observations on the same unit. Multivariate models with general covariance structure are often difficult to apply to highly unbalanced data, whereas two-stage ...
N. Laird, J. Ware
semanticscholar   +1 more source

Longitudinal data analysis for discrete and continuous outcomes.

Biometrics, 1986
Longitudinal data sets are comprised of repeated observations of an outcome and a set of covariates for each of many subjects. One objective of statistical analysis is to describe the marginal expectation of the outcome variable as a function of the ...
S. Zeger, K. Liang
semanticscholar   +1 more source

Models for longitudinal data: a generalized estimating equation approach.

Biometrics, 1988
This article discusses extensions of generalized linear models for the analysis of longitudinal data. Two approaches are considered: subject-specific (SS) models in which heterogeneity in regression parameters is explicitly modelled; and population ...
S. Zeger, K. Liang, P. Albert
semanticscholar   +1 more source