scholarly journals Model‐based recursive partitioning of extended redundancy analysis with an application to nicotine dependence among US adults

2021 ◽  
Author(s):  
Sunmee Kim ◽  
Heungsun Hwang
Keyword(s):  
Nicotine Dependence ◽  
Redundancy Analysis ◽  
Recursive Partitioning ◽  
Model Based ◽  
Extended Redundancy Analysis

Functional Extended Redundancy Analysis

Psychometrika ◽  
2012 ◽  
Vol 77 (3) ◽  
pp. 524-542 ◽  
Author(s):  
Heungsun Hwang ◽  
Hye Won Suk ◽  
Jang-Han Lee ◽  
D. S. Moskowitz ◽  
Jooseop Lim
Keyword(s):  
Redundancy Analysis ◽  
Extended Redundancy Analysis

scholarly journals A Comparison between Cure Model and Recursive Partitioning: A Retrospective Cohort Study of Iranian Female with Breast Cancer

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Mozhgan Safe ◽  
Javad Faradmal ◽  
Hossein Mahjub
Keyword(s):  
Breast Cancer ◽  
Cohort Study ◽  
Cancer Patients ◽  
Simulation Study ◽  
Retrospective Cohort Study ◽  
Retrospective Cohort ◽  
Recursive Partitioning ◽  
Breast Cancer Patients ◽  
Cure Model ◽  
Model Based

Background. Breast cancer which is the most common cause of women cancer death has an increasing incidence and mortality rates in Iran. A proper modeling would correctly detect the factors’ effect on breast cancer, which may be the basis of health care planning. Therefore, this study aimed to practically develop two recently introduced statistical models in order to compare them as the survival prediction tools for breast cancer patients.Materials and Methods. For this retrospective cohort study, the 18-year follow-up information of 539 breast cancer patients was analyzed by “Parametric Mixture Cure Model” and “Model-Based Recursive Partitioning.” Furthermore, a simulation study was carried out to compare the performance of mentioned models for different situations.Results. “Model-Based Recursive Partitioning” was able to present a better description of dataset and provided a fine separation of individuals with different risk levels. Additionally the results of simulation study confirmed the superiority of this recursive partitioning for nonlinear model structures.Conclusion. “Model-Based Recursive Partitioning” seems to be a potential instrument for processing complex mixture cure models. Therefore, applying this model is recommended for long-term survival patients.

scholarly journals Subgroup identification in dose-finding trials via model-based recursive partitioning

2018 ◽  
Vol 37 (10) ◽  
pp. 1608-1624 ◽  
Author(s):  
Marius Thomas ◽  
Björn Bornkamp ◽  
Heidi Seibold
Keyword(s):  
Recursive Partitioning ◽  
Dose Finding ◽  
Model Based ◽  
Subgroup Identification
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