160 related articles for article (PubMed ID: 29104554)
1. Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data.
de Haan-Rietdijk S; Voelkle MC; Keijsers L; Hamaker EL
Front Psychol; 2017; 8():1849. PubMed ID: 29104554
[TBL] [Abstract][Full Text] [Related]
2. A comparison of continuous and discrete time modeling of affective processes in terms of predictive accuracy.
Loossens T; Tuerlinckx F; Verdonck S
Sci Rep; 2021 Mar; 11(1):6218. PubMed ID: 33737588
[TBL] [Abstract][Full Text] [Related]
3. Consequences of sampling frequency on the estimated dynamics of AR processes using continuous-time models.
Batra R; Johal SK; Chen M; Ferrer E
Psychol Methods; 2023 Jul; ():. PubMed ID: 37428727
[TBL] [Abstract][Full Text] [Related]
4. Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality.
Ryan O; Hamaker EL
Psychometrika; 2022 Mar; 87(1):214-252. PubMed ID: 34165691
[TBL] [Abstract][Full Text] [Related]
5. Regularized continuous time structural equation models: A network perspective.
Orzek JH; Voelkle MC
Psychol Methods; 2023 Dec; 28(6):1286-1320. PubMed ID: 36633976
[TBL] [Abstract][Full Text] [Related]
6. A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.
Liu M; Stella F; Hommersom A; Lucas PJF; Boer L; Bischoff E
Artif Intell Med; 2019 Apr; 95():104-117. PubMed ID: 30683464
[TBL] [Abstract][Full Text] [Related]
7. An SEM approach to continuous time modeling of panel data: relating authoritarianism and anomia.
Voelkle MC; Oud JH; Davidov E; Schmidt P
Psychol Methods; 2012 Jun; 17(2):176-92. PubMed ID: 22486576
[TBL] [Abstract][Full Text] [Related]
8. Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modeling.
Adolf JK; Loossens T; Tuerlinckx F; Ceulemans E
Psychol Methods; 2021 Dec; 26(6):701-718. PubMed ID: 34166049
[TBL] [Abstract][Full Text] [Related]
9. Bayesian continuous-time Rasch models.
Hecht M; Hardt K; Driver CC; Voelkle MC
Psychol Methods; 2019 Aug; 24(4):516-537. PubMed ID: 31008622
[TBL] [Abstract][Full Text] [Related]
10. Incorporating measurement error in n = 1 psychological autoregressive modeling.
Schuurman NK; Houtveen JH; Hamaker EL
Front Psychol; 2015; 6():1038. PubMed ID: 26283988
[TBL] [Abstract][Full Text] [Related]
11. Measurement error and person-specific reliability in multilevel autoregressive modeling.
Schuurman NK; Hamaker EL
Psychol Methods; 2019 Feb; 24(1):70-91. PubMed ID: 30188157
[TBL] [Abstract][Full Text] [Related]
12. Unequally spaced longitudinal data with AR(1) serial correlation.
Jones RH; Boadi-Boateng F
Biometrics; 1991 Mar; 47(1):161-75. PubMed ID: 2049497
[TBL] [Abstract][Full Text] [Related]
13. Non-linear random effects models with continuous time autoregressive errors: a Bayesian approach.
De la Cruz-MesÃa R; Marshall G
Stat Med; 2006 May; 25(9):1471-84. PubMed ID: 16013034
[TBL] [Abstract][Full Text] [Related]
14. A Tutorial on Estimating Time-Varying Vector Autoregressive Models.
Haslbeck JMB; Bringmann LF; Waldorp LJ
Multivariate Behav Res; 2021; 56(1):120-149. PubMed ID: 32324066
[TBL] [Abstract][Full Text] [Related]
15. Modeling delayed drug effect using discrete-time nonlinear autoregressive models: a connection with indirect response models.
Xu XS; Wang H; Vermeulen A
J Pharmacokinet Pharmacodyn; 2011 Jun; 38(3):353-67. PubMed ID: 21451962
[TBL] [Abstract][Full Text] [Related]
16. Choosing between AR(1) and VAR(1) models in typical psychological applications.
Dablander F; Ryan O; Haslbeck JMB
PLoS One; 2020; 15(10):e0240730. PubMed ID: 33119716
[TBL] [Abstract][Full Text] [Related]
17. Using autoregressive and random walk models to detect trends and shifts in unequally spaced tumour biomarker data.
Schlain BR; Lavin PT; Hayden CL
Stat Med; 1993 Feb; 12(3-4):265-79. PubMed ID: 8456211
[TBL] [Abstract][Full Text] [Related]
18. What's in a Day? A Guide to Decomposing the Variance in Intensive Longitudinal Data.
de Haan-Rietdijk S; Kuppens P; Hamaker EL
Front Psychol; 2016; 7():891. PubMed ID: 27378986
[TBL] [Abstract][Full Text] [Related]
19. A stochastic regression model for general trend analysis of longitudinal continuous data.
Chao WH; Chen SH
Biom J; 2009 Aug; 51(4):571-87. PubMed ID: 19655314
[TBL] [Abstract][Full Text] [Related]
20. Skewness and Staging: Does the Floor Effect Induce Bias in Multilevel AR(1) Models?
Haqiqatkhah MM; Ryan O; Hamaker EL
Multivariate Behav Res; 2024; 59(2):289-319. PubMed ID: 38160329
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]