Results 171 to 180 of about 523,434 (195)

Multivariate data analysis for outcome studies

American Journal of Community Psychology, 1981
The use of multivariate statistical techniques for analyzing the complex data often gathered in outcome studies is discussed. The multivariate analysis of variance (MANOVA) is suggested for multiple group studies common to outcome studies. This technique can be utilized for a large number of specific research designs whenever multiple outcome measures ...
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Latent mixture models for multivariate and longitudinal outcomes

Statistical Methods in Medical Research, 2009
Repeated measures and multivariate outcomes are an increasingly common feature of trials. Their joint analysis by means of random effects and latent variable models is appealing but patterns of heterogeneity in outcome profile may not conform to standard multivariate normal assumptions.
Pickles, Andrew, Croudace, Tim
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Causal Inference with Multivariate Outcomes: a Simulation Study

2011
Within the framework of the Rubin Causal Model, Principal Stratification is used to address post-treatment complications in randomized experiments, such as noncompliance, unintended missing outcomes, and truncation by death of the outcomes. We focus on a likelihood approach, exploiting the properties of multivariate finite mixture models in order to ...
P. Frumento, MEALLI, FABRIZIA, B. Pacini
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Psychosocial outcomes in later life: A multivariate model.

Psychology and Aging, 2007
A conceptual model was developed to identify developmental self-regulatory pathways to optimal psychosocial outcomes in adulthood. The model delineates influences among age, possible selves, developmental processes (i.e., coping, control), and well-being. Results showed age effects on all constructs except selective control.
Leslie D, Frazier, Frederick L, Newman, James, Jaccard   +2 more
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Multivariate linear mixed models for multiple outcomes

Statistics in Medicine, 1999
We propose a multivariate linear mixed (MLMM) for the analysis of multiple outcomes, which generalizes the latent variable model of Sammel and Ryan. The proposed model assumes a flexible correlation structure among the multiple outcomes, and allows a global test of the impact of exposure across outcomes.
M, Sammel, X, Lin, L, Ryan
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Multivariate forests with missing mixed outcomes

Communications in Statistics - Theory and Methods, 2017
In this article, we propose a multivariate random forest method for multiple responses of mixed types with missing responses.
Abdessamad Dine, Denis Larocque, François Bellavance   +2 more
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Prediction of outcome in multiple sclerosis based on multivariate models

Journal of Neurology, 1994
An incidence cohort of 308 multiple sclerosis patients was followed up repeatedly during at least 25 years of disease. In the patients with acute onset, multivariate survival analyses were performed and predictive models created. The endpoints DSS 6 and start of progressive disease were used. A number of variables were tested.
B, Runmarker, C, Andersson, A, Odén, O, Andersen   +3 more
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Multivariate Matching and Bias Reduction in the Surgical Outcomes Study

Medical Care, 2001
Outcomes studies often need a level of detail that is not present in administrative data, therefore requiring abstraction of medical charts. Case-control methods may be used to improve statistical power and reduce abstraction costs, but limitations of exact matching often preclude the use of many covariates. Unlike exact matching, multivariate matching
J H, Silber, P R, Rosenbaum, M E, Trudeau, O, Even-Shoshan, W, Chen, X, Zhang, R E, Mosher   +6 more
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Predictors of Outcome of Epilepsy Surgery: Multivariate Analysis with Validation

Epilepsia, 1996
Summary: Purpose: To identify predictors of outcome of epilepsy surgery, using the Duke experience, applying multivariate analysis and validation techniques. To compare the results of different modeling algorithms. Few previous studies have reported multivariate analysis, or validated their results.Methods: Records of 116 patients with focal ...
C, Armon, R A, Radtke, A H, Friedman, D V, Dawson   +3 more
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A multivariate predictor analysis of course and outcome in delusional psychosis

Acta Psychiatrica Scandinavica, 1988
ABSTRACT— The purpose of the study was to examine whether certain social variables of first‐admitted patients with delusional psychosis were of predictive value of course and outcome as illuminated through the dimensions: psychiatric symptoms, impairment, remission, and relapse at 2‐year follow‐up.
P, Jørgensen, J, Aagaard
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