Recursive partitioning
Recursive partitioning of clustered data using LMM trees: An empirical evaluation using educational data
... Subgroup detection and prediction are important aims in psychological research. Lipkovich, Dmitrienko, Denne and Enas (2011) state that a common approach for the detection of subgroups used to be a linear ...
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Identifying risk profiles for childhood obesity using recursive partitioning based on individual, familial, and neighborhood environment factors
... sive partitioning analysis, which has gained popularity as a means of multivariate data exploration in various fields ...[19]. Recursive partitioning produces a classification tree following a series ...
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A recursive partitioning approach for subgroup identification in individual patient data meta analysis
... as recursive partitioning which utilises a splitting criterion to form binary splits of the covariate space in order to grow a tree ‐ like ...on recursive partitioning, one can refer to a ...
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Stereotactic Radiosurgery for Recursive Partitioning Analysis Class II / III Lung Cancer Patients with Brain Metastases in the Modern Treatment Era
... for recursive partitioning analysis (RPA) class II/III patients with one to three brain metastases from lung cancer and identify which patients in the high RPA class could benefit from ...
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Recursive partitioning of growth curve models with generalised linear mixed-effects regression trees
... Initially, reading trajectories were assumed to be linear over time, but after plotting the trajectories, the increasing curve of the relation between months passed and reading ability seemed to flatten over time (see ...
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Subgroup Analysis via Recursive Partitioning
... Subgroup analysis is an integral part of comparative analysis where assessing the treatment effect on a response is of central interest. Its goal is to determine the heterogeneity of the treatment effect across ...
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Kopf, Julia (2013): Model-based recursive partitioning meets item response theory: new statistical methods for the detection of differential item functioning and appropriate anchor selection. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... model-based recursive partitioning algorithm maintains the fundamental steps of the parti- tioning method reviewed in Section ...the recursive process now estimates the basic sta- tistical model ...
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Model-based Recursive Partitioning for Survival of Iranian Female Breast Cancer Patients: Comparing with Parametric Survival Models
... In contrast to parametric models, LRT declared no significant differences between Weibull and exponential recursive partitioning. However, in accordance with parametric models, age and HER2 were known as ...
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Prophylactic cranial irradiation in locally advanced non-small cell lung cancer: outcome of recursive partitioning analysis group 1 patients
... Several factors including histology, stage, duration of sur- vival, performance status, chemotherapy protocol, age at presentation, and sex have been associated with risk of BM development. [2,13,15-18]. In earlier ...
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Risk groups defined by Recursive Partitioning Analysis of patients with colorectal adenocarcinoma treated with colorectal resection
... creates a decision tree with respect to prognostic factors and their interactions which are most important in deter- mining the outcome. A parent node would split into child nodes that are as homogenous as possible to ...
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Adjuvant treatment may benefit patients with high-risk upper rectal cancer: A nomogram and recursive partitioning analysis of 547 patients
... Stratification according to adjuvant treatment revealed that, in the high-risk group, ACRT plus ACT post-surgery was followed by significantly higher 5-year CSS rates compared to surgery[r] ...
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Recursive partitioning based approaches for low back pain subgroup identification in individual patient data meta analyses
... Chapter 2 – Background Chapter 3 – Review of current subgroup analysis guidance for trials Chapter 4 – Systematic review of subgroup analyses performed in LBP RCTs Part 2: Statistical Me[r] ...
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Development and Validation of a Multivariable Predictive Model to Distinguish Bacterial From Aseptic Meningitis in Children in the Post-Haemophilus influenzae Era
... Based on the results of both the logistic regression and the recursive partitioning analyses, we devel- oped the BMS. Because the presence of a positive Gram stain was the strongest independent predictor of ...
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Race and Acute Abdominal Pain in a Pediatric Emergency Department
... Further exploration of these factors was performed by using recursive partitioning. Focus was primarily on those factors that demonstrated a dif- ference across races on multivariate analysis. These ...
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A Clinical Decision Rule to Identify Children at Low Risk for Appendicitis
... patients who were enrolled in our study, thus con- firming the patients’ final diagnosis. By using 2 sta- tistical techniques, we have provided the clinician the option of a clinical score (logistic regression) or a ...
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Detecting Diabetes Mellitus using Machine Learning Ensemble
... Model, Recursive Partitioning and Regression Trees, Support Vector Machines, K-Nearest Neighbors and Naïve Bayes to Pima Indians Diabetes ...and recursive trees; building a stacking ensemble on all ...
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Comparison of Prognostic Indices in NSCLC Patients with Brain Metastases after Radiosurgery
... RPA: Recursive Partitioning Analysis; SIR: Score Index for Radiosurgery; GPA: Graded Prognostic Assessment; BSBM: Basic Score for Brain Metastases; AIC: Akaike information criterion; C-index: Concordance ...
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Using a multi-staged strategy based on machine learning and mathematical modeling to predict genotype-phenotype risk patterns in diabetic kidney disease: a prospective case–control cohort analysis
... One objective of the study was to compare the per- formance of different machine learning methods. We used two tree-based models (recursive partitioning/re- gression trees and C5.0 decision tree) to explore ...
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RESEARCH ARTICLE Comparing subjective and objective evaluations of player performance in Australian Rules football
... A recursive partitioning and regression tree model [36, 37] was undertaken as a secondary method to determine the extent to which each of the features explained ...the recursive partitioning ...
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Combining heterogeneous classifiers for stock selection
... Classification problems arise naturally in many branches of the natural and social sciences. The traditional approach to solving such problems is the linear discriminant analysis developed by Fisher (1936), and this is ...
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