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[HTML][HTML] Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao, J Doan… - Plos one, 2018 - journals.plos.org
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …
被引用次数：3 相关文章

Application of dynamic modeling for survival estimation in advanced renal cell carcinoma.

B Deniz, A Altincatal, A Ambavane, S Rao… - PLoS …, 2018 - search.ebscohost.com
Objective: In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …

Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao, J Doan… - PLOS ONE, 2018 - ideas.repec.org
Objective: In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …
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[HTML][HTML] Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao, J Doan… - PLoS ONE, 2018 - ncbi.nlm.nih.gov
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …

[引用][C] Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao… - PLoS …, 2018 - ui.adsabs.harvard.edu
Application of dynamic modeling for survival estimation in advanced renal cell carcinoma -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Application of …

Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao… - PloS …, 2018 - pubmed.ncbi.nlm.nih.gov
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …

Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao… - PLOS …, 2018 - econpapers.repec.org
Objective: In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …
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[PDF][PDF] Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao… - PLoS …, 2018 - pdfs.semanticscholar.org
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …
[PDF] archive.org

[PDF][PDF] Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao, J Doan… - PLoS ONE, 2018 - scholar.archive.org
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …

Application of dynamic modeling for survival estimation in advanced renal cell carcinoma

B Deniz, A Altincatal, A Ambavane, S Rao, J Doan… - PLoS ONE, 2018 - go.gale.com
Objective In oncology, extrapolation of clinical outcomes beyond trial duration is traditionally
achieved by parametric survival analysis using population-level outcomes. This approach …