Tamoxifen resistance in early breast cancer: statistical modelling of tissue markers to improve risk prediction
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Assessment of Internal Validity of Prognostic Models through Bootstrapping and Multiple Imputation of Missing Data.Aspirin regulation of c-myc and cyclinD1 proteins to overcome tamoxifen resistance in estrogen receptor-positive breast cancer cells.Multiple imputation in survival models: applied on breast cancer dataDoes the missing data imputation method affect the composition and performance of prognostic models?A better coefficient of determination for genetic profile analysis.
P2860
Tamoxifen resistance in early breast cancer: statistical modelling of tissue markers to improve risk prediction
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2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Tamoxifen resistance in early ...... ers to improve risk prediction
@ast
Tamoxifen resistance in early ...... ers to improve risk prediction
@en
type
label
Tamoxifen resistance in early ...... ers to improve risk prediction
@ast
Tamoxifen resistance in early ...... ers to improve risk prediction
@en
prefLabel
Tamoxifen resistance in early ...... ers to improve risk prediction
@ast
Tamoxifen resistance in early ...... ers to improve risk prediction
@en
P2093
P2860
P356
P1476
Tamoxifen resistance in early ...... ers to improve risk prediction
@en
P2093
J M S Bartlett
N Anderson
P2860
P2888
P304
P356
10.1038/SJ.BJC.6605627
P407
P577
2010-05-01T00:00:00Z
P5875
P6179
1029141236