A new method of predicting US and state-level cancer mortality counts for the current calendar year.
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Bayesian Inference for General Gaussian Graphical Models With Application to Multivariate Lattice Data.Sex disparities in colorectal cancer incidence by anatomic subsite, race and ageCancer health disparities: what we have done.Predicting US- and state-level cancer counts for the current calendar year: Part I: evaluation of temporal projection methods for mortality.Age-Adjusted US Cancer Death Rate Predictions.Cervical cancer screening, diagnosis and treatment interventions for racial and ethnic minorities: a systematic reviewPredicting US- and state-level cancer counts for the current calendar year: Part II: evaluation of spatiotemporal projection methods for incidence.Glutamic acid and its derivatives: candidates for rational design of anticancer drugs.Predicting county-level cancer incidence rates and counts in the USA.European cancer mortality predictions for the year 2013.Short-term cancer mortality projections: a comparative study of prediction methods.European cancer mortality predictions for the year 2011.
P2860
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P2860
A new method of predicting US and state-level cancer mortality counts for the current calendar year.
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2004 nî lūn-bûn
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2004年論文
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name
A new method of predicting US ...... for the current calendar year.
@ast
A new method of predicting US ...... for the current calendar year.
@en
type
label
A new method of predicting US ...... for the current calendar year.
@ast
A new method of predicting US ...... for the current calendar year.
@en
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A new method of predicting US ...... for the current calendar year.
@ast
A new method of predicting US ...... for the current calendar year.
@en
P2093
P356
P1433
P1476
A new method of predicting US ...... for the current calendar year.
@en
P2093
Ahmedin Jemal
Elizabeth Ward
Eric J Feuer
Kaushik Ghosh
Mark Hachey
Michael J Thun
Ram C Tiwari
P356
10.3322/CANJCLIN.54.1.30
P407
P577
2004-01-01T00:00:00Z