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Joint Regression Analysis of Correlated Data Using Gaussian Copulas

Peter X.-K. Song, Mingyao Li, Ying Yuan
2008 Biometrics  
Numerical illustrations are focused on regression models for discrete correlated data, including multidimensional logistic regression models and a joint model for mixed normal and binary outcomes.  ...  and mixed correlated outcomes.  ...  The burn injury data reported in Fan and Gijbels (1996) is an example of vector outcomes of mixed types.  ... 
doi:10.1111/j.1541-0420.2008.01058.x pmid:18510653 fatcat:n5ev5e4ndjf2tmk7o3z5nn72ri

Joint modelling of mixed outcome types using latent variables

Charles McCulloch
2008 Statistical Methods in Medical Research  
After a brief review of the use of latent variables to accommodate the correlation among multiple outcomes of mixed types, through theoretical and numerical calculation, the consequences of such a construction  ...  A simulation study illustrates the efficiency and reduction in bias gains possible in using joint models, and analysis of an example from the field of osteoarthritis illustrates potential practical differences  ...  With data missing completely at random on the binary outcome, the availability of the (complete) continuous outcome in a joint analysis made the binary joint model even more efficient when compared with  ... 
doi:10.1177/0962280207081240 pmid:17855745 fatcat:tvtxveret5bafcdldkqc7r5oki

Multi-SNP Mediation Intersection-Union Test [article]

Wujuan Zhong, Cassandra N. Spracklen, Karen L. Mohlke, Xiaojing Zheng, Jason Fine, Yun Li
2018 bioRxiv   pre-print
the neighborhood) on phenotypic outcome.  ...  Although numerous methods exist, there are few, if any methods, for simultaneously testing the mediation effects of multiple correlated SNPs via some mediator (for example, the expression of a gene in  ...  To solve this issue in SMUT's outcome model, we adopt a mixed effects model and the Rao's score test (38, 39) for mediation testing.  ... 
doi:10.1101/455352 fatcat:bepzybzjirf4xjrh5jo2vjeu4u

Multivariate Generalized Linear Mixed-Effects Models for the Analysis of Clinical Trial–Based Cost-Effectiveness Data

Felix Achana, Daniel Gallacher, Raymond Oppong, Sungwook Kim, Stavros Petrou, James Mason, Michael Crowther
2021 Medical decision making  
In this article, we extend the generalized linear mixed-model framework to enable simultaneous modeling of multiple outcomes of mixed data types, such as those typically encountered in trial-based economic  ...  Typically, in these studies, resource use (and by extension, economic costs) and clinical (or preference-based health) outcomes data are collected prospectively for trial participants to estimate the joint  ...  values more efficiently than in separate univariate analyses. 4 However, joint modeling of multiple outcomes is a complicated statistical task if the data are not normally distributed and the outcomes  ... 
doi:10.1177/0272989x211003880 fatcat:bcr2lcaggzdn7oupedgxkgneve

Multivariate Mixed Response Model with Pairwise Composite-Likelihood Method

Hao Bai, Yuan Zhong, Xin Gao, Wei Xu
2020 Stats  
To have a better understanding of the effects of different treatments, one often needs to analyze multiple clinical outcomes simultaneously, while the data are usually mixed with both continuous and discrete  ...  It can simplify the multivariate model by dealing with three types of bivariate models and incorporating the asymptotical properties of the composite likelihood via the Godambe information.  ...  data with multiple mixed-type responses.  ... 
doi:10.3390/stats3030016 fatcat:wbrxtss3nrhibmmbedowbtm65i

MIXTURE MODELS FOR THE JOINT DISTRIBUTION OF REPEATED MEASURES AND EVENT TIMES

JOSEPH W. HOGAN, NAN M. LAIRD
1997 Statistics in Medicine  
An added benefit of the analysis is that it permits using the repeated measures to increase efficiency of estimates of the event time distribution.  ...  The methods are illustrated through analysis of data from a clinical trial for a new schizophrenia therapy; in the trial, dropout time is closely related to outcome, and the dropout process differs between  ...  ACKNOWLEDGEMENTS Support for this work was provided by National Institutes of Health through grants GM29745 and MH17119.  ... 
doi:10.1002/(sici)1097-0258(19970215)16:3<239::aid-sim483>3.0.co;2-x pmid:9004395 fatcat:3emcaa5hovekbb277lw2vt7yfy

MIXTURE MODELS FOR THE JOINT DISTRIBUTION OF REPEATED MEASURES AND EVENT TIMES

JOSEPH W. HOGAN, NAN M. LAIRD
1997 Statistics in Medicine  
An added benefit of the analysis is that it permits using the repeated measures to increase efficiency of estimates of the event time distribution.  ...  The methods are illustrated through analysis of data from a clinical trial for a new schizophrenia therapy; in the trial, dropout time is closely related to outcome, and the dropout process differs between  ...  ACKNOWLEDGEMENTS Support for this work was provided by National Institutes of Health through grants GM29745 and MH17119.  ... 
doi:10.1002/(sici)1097-0258(19970215)16:3<239::aid-sim483>3.3.co;2-o fatcat:v24xyzzp5jhprchbonk5tbtlda

Regression models for the analysis of longitudinal Gaussian data from multiple sources

Liam M. O'Brien, Garrett M. Fitzmaurice
2005 Statistics in Medicine  
We present a regression model for the joint analysis of longitudinal multiple source Gaussian data.  ...  This type of data generally produces a relatively large number of observations per subject; thus estimation of an unstructured covariance matrix often may not be possible.  ...  National Institutes of Health. It was also supported, in part, by a grant from the Division of Natural Sciences at Colby College.  ... 
doi:10.1002/sim.2056 pmid:15726666 pmcid:PMC1618794 fatcat:4ffgkgtdija6jm65lwwv4ibnaa

Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction

Zhichao Sun, Bhramar Mukherjee, Jason P. Estes, Pantel S. Vokonas, Sung Kyun Park
2017 Statistics in Medicine  
We compare the performance of our proposed design and analysis to combinations of different sampling designs and estimation approaches via simulation.  ...  We observe that the FCL provides improved estimates for the GxE interaction and joint exposure effects over uncorrected complete-case analysis, and the exposure enriched outcome trajectory dependent design  ...  Department of Veterans Affairs and is a component of the Massachusetts Veterans Epidemiology Research and Information Center, Boston, Massachusetts. The authors would like to thank Dr.  ... 
doi:10.1002/sim.7332 pmid:28497531 pmcid:PMC5523112 fatcat:ecoszbbuercbzmazfxkl2nupmu

Short-term functional recovery after total joint arthroplasty is unaffected by bundled payment participation

Joshua K. Johnson, Jill A. Erickson, Caitlin J. Miller, Julie M. Fritz, Robin L. Marcus, Christopher E. Pelt
2019 Arthroplasty Today  
Bundled payment models for lower extremity total joint arthroplasty (TJA) aim to improve value by decreasing costs via efficient care pathways.  ...  Mixed-effects linear regression and Wald postests were used to test for differences in patients' functional recovery during the hospital period and over 12 months after TJA between cohorts.  ...  Kendall and Promotion of Doctoral Study scholarships from the Foundation for Physical Therapy, United States. The funding agencies did not play any role in the conduct or report of this study.  ... 
doi:10.1016/j.artd.2018.12.003 pmid:31020035 pmcid:PMC6470353 fatcat:zakxzk35frbbjopgeeqjrgefle

Assessment of Differences in Inpatient Rehabilitation Services for Length of Stay and Health Outcomes Between US Medicare Advantage and Traditional Medicare Beneficiaries

Ying Cao, Jing Nie, Sue Ann Sisto, Paulette Niewczyk, Katia Noyes
2020 JAMA Network Open  
Data were analyzed from September 2018 to August 2019. Medicare insurance plan type, TM or MA.  ...  Subgroups of elderly individuals admitted to inpatient rehabilitation facilities (IRFs) may experience different care outcomes by insurance types.  ...  Table 2 and 2 Table 3show the regressions of major outcome variables on insurance type and control variables for stroke and hip fracture.  ... 
doi:10.1001/jamanetworkopen.2020.1204 pmid:32186746 pmcid:PMC7081121 fatcat:o2xosg27cvghdn47sar5wn5od4

How Mixed-Effects Modeling Can Advance Our Understanding of Learning and Memory and Improve Clinical and Educational Practice

Katherine R. Gordon
2019 Journal of Speech, Language and Hearing Research  
I also demonstrate key similarities and differences between analysis of variance, regression analyses, and mixed-effects modeling.  ...  Finally, I explain 3 additional advantages of using mixed-effects modeling to understand the processes of learning and memory: the means to account for missing data, assess the contribution of variations  ...  Acknowledgments The author's data and findings presented in this publication were supported by funding by organizations within the National Institutes of Health including the National Institute on Deafness  ... 
doi:10.1044/2018_jslhr-l-astm-18-0240 pmid:30950737 pmcid:PMC6802904 fatcat:teffkww5qzb3xgyvdme2rh2iza

Functional joint model for longitudinal and time-to-event data: an application to Alzheimer's disease

Kan Li, Sheng Luo
2017 Statistics in Medicine  
The proposed FJM provides a flexible framework to incorporate many features both in joint modeling of longitudinal and survival data and in functional data analysis.  ...  The parameters of FJM are estimated in a maximum likelihood framework via expectation maximization algorithm.  ...  As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this article.  ... 
doi:10.1002/sim.7381 pmid:28664662 pmcid:PMC5583028 fatcat:yzdrb3xpqfafja35zsqxhcdzmq

Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals

Chris B. Guure, Noor Akma Ibrahim, Mohd Bakri Adam, Salmiah Md Said, Stephen D Ginsberg
2017 PLoS ONE  
Methods We propose a Bayesian joint modelling approach to determine mortality due to cognitive impairment via repeated measures of 3MS scores trajectories over a 21-year follow-up period.  ...  The aims of this study are to examine the association between 3MS scores and mortality via cognitive impairment among older women and to determine individuals' risk of changes in scores to better predict  ...  via joint models.  ... 
doi:10.1371/journal.pone.0182873 pmid:28813458 pmcid:PMC5558951 fatcat:4bwizz3yonfghc2ob76m4utrde

Maximum Likelihood Estimation of Marginal Pairwise Associations with Multiple Source Predictors

Liam M. O'Brien, Garrett M. Fitzmaurice, Nicholas J. Horton
2006 Biometrical Journal  
Standard multiple regression methods allow estimation of the effect of each predictor on the outcome while controlling for the remaining predictors.  ...  of the predictive values of diagnostic tests), standard regression methods are not appropriate.  ...  A similar type of "mixed parameter" model was developed by Fitzmaurice and Laird (1993) for longitudinal binary outcomes.  ... 
doi:10.1002/bimj.200510227 pmid:17094349 pmcid:PMC1764610 fatcat:ghnssadnijgb5n6sb5bacogepi
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