Modelling population-based cancer survival trends using join point models for grouped survival data.
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Histological and Demographic Characteristics of the Distribution of Brain and Central Nervous System Tumors' Sizes: Results from SEER Registries Using Statistical Methods.Cancer survival: an overview of measures, uses, and interpretation.When do changes in cancer survival mean progress? The insight from population incidence and mortalityHepatitis C virus-related complications are increasing in women veterans: A national cohort study.Predicting county-level cancer incidence rates and counts in the USA.MicroRNA-15a inhibits the growth and invasiveness of malignant melanoma and directly targets on CDCA4 gene.
P2860
Modelling population-based cancer survival trends using join point models for grouped survival data.
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2009 nî lūn-bûn
@nan
2009 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի ապրիլին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
@en
Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
@ast
Modelling population-based can ...... els for grouped survival data.
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Modelling population-based can ...... els for grouped survival data.
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P2093
P2860
P1476
Modelling population-based can ...... els for grouped survival data.
@en
P2093
Binbing Yu
Eric J Feuer
Karen A Johnson
Ram C Tiwari
P2860
P304
P356
10.1111/J.1467-985X.2009.00580.X
P407
P577
2009-04-01T00:00:00Z