about
Binary partitioning for continuous longitudinal data: categorizing a prognostic variable.Identification of yeast transcriptional regulation networks using multivariate random forestsAn introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF++.How spacing of data collection may impact estimates of substance use trajectories.Identification of microRNA-mRNA modules using microarray data.A random forest approach for competing risks based on pseudo-values.Accounting for host cell protein behavior in anion-exchange chromatography.Prediction trees with soft nodes for binary outcomes.Recursive partitioning for monotone missing at random longitudinal markers.Extending the elements of tree-structured regression.A latent class mixed model for analysing biomarker trajectories with irregularly scheduled observations.
P2860
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P2860
description
1992 nî lūn-bûn
@nan
1992 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
1992 թվականի հունիսին հրատարակված գիտական հոդված
@hy
1992年の論文
@ja
1992年論文
@yue
1992年論文
@zh-hant
1992年論文
@zh-hk
1992年論文
@zh-mo
1992年論文
@zh-tw
1992年论文
@wuu
name
Tree-Structured Methods for Longitudinal Data
@ast
Tree-Structured Methods for Longitudinal Data
@en
type
label
Tree-Structured Methods for Longitudinal Data
@ast
Tree-Structured Methods for Longitudinal Data
@en
prefLabel
Tree-Structured Methods for Longitudinal Data
@ast
Tree-Structured Methods for Longitudinal Data
@en
P2860
P1476
Tree-Structured Methods for Longitudinal Data
@en
P2093
Mark Robert Segal
P2860
P304
P356
10.1080/01621459.1992.10475220
P407
P577
1992-06-01T00:00:00Z