Application of Weibull model for survival of patients with gastric cancer
<p>Abstract</p> <p>Background</p> <p>Researchers in the medical sciences prefer employing Cox model for survival analysis. In some cases, however, parametric methods can provide more accurate estimates. In this study, we used Weibull model to analyze the prognostic fact...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2011-01-01
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| Series: | BMC Gastroenterology |
| Online Access: | http://www.biomedcentral.com/1471-230X/11/1 |
| _version_ | 1818212451928244224 |
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| author | Liu Shun F Adnan Ahmed Yu Chuan H Xia Xin Zhu Hui P Du Yu K |
| author_facet | Liu Shun F Adnan Ahmed Yu Chuan H Xia Xin Zhu Hui P Du Yu K |
| author_sort | Liu Shun F |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Researchers in the medical sciences prefer employing Cox model for survival analysis. In some cases, however, parametric methods can provide more accurate estimates. In this study, we used Weibull model to analyze the prognostic factors in patients with gastric cancer and compared with Cox.</p> <p>Methods</p> <p>We retrospectively studied 1715 patients with gastric cancer. Age at diagnosis, gender, family history, past medical history, tumor location, tumor size, eradicative degree of surgery, depth of tumor invasion, combined evisceration, pathologic stage, histologic grade and lymph node status were chosen as potential prognostic factors. Weibull and Cox model were performed with hazard rate and Akaike Information Criterion (AIC) to compare the efficiency of models.</p> <p>Results</p> <p>The results from both Weibull and Cox indicated that patients with the past history of having gastric cancer had the risk of death increased significantly followed by poorly differentiated or moderately differentiated in histologic grade. Eradicative degree of surgery, pathologic stage, depth of tumor invasion and tumor location were also identified as independent prognostic factors found significant. Age was significant only in Weibull model.</p> <p>Conclusion</p> <p>From the results of multivariate analysis, the data strongly supported the Weibull can elicit more precise results as an alternative to Cox based on AIC.</p> |
| first_indexed | 2024-12-12T05:48:37Z |
| format | Article |
| id | doaj.art-b6156305a7a7489a862c79877eb2f526 |
| institution | Directory Open Access Journal |
| issn | 1471-230X |
| language | English |
| last_indexed | 2024-12-12T05:48:37Z |
| publishDate | 2011-01-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Gastroenterology |
| spelling | doaj.art-b6156305a7a7489a862c79877eb2f5262022-12-22T00:35:44ZengBMCBMC Gastroenterology1471-230X2011-01-01111110.1186/1471-230X-11-1Application of Weibull model for survival of patients with gastric cancerLiu Shun FAdnan AhmedYu Chuan HXia XinZhu Hui PDu Yu K<p>Abstract</p> <p>Background</p> <p>Researchers in the medical sciences prefer employing Cox model for survival analysis. In some cases, however, parametric methods can provide more accurate estimates. In this study, we used Weibull model to analyze the prognostic factors in patients with gastric cancer and compared with Cox.</p> <p>Methods</p> <p>We retrospectively studied 1715 patients with gastric cancer. Age at diagnosis, gender, family history, past medical history, tumor location, tumor size, eradicative degree of surgery, depth of tumor invasion, combined evisceration, pathologic stage, histologic grade and lymph node status were chosen as potential prognostic factors. Weibull and Cox model were performed with hazard rate and Akaike Information Criterion (AIC) to compare the efficiency of models.</p> <p>Results</p> <p>The results from both Weibull and Cox indicated that patients with the past history of having gastric cancer had the risk of death increased significantly followed by poorly differentiated or moderately differentiated in histologic grade. Eradicative degree of surgery, pathologic stage, depth of tumor invasion and tumor location were also identified as independent prognostic factors found significant. Age was significant only in Weibull model.</p> <p>Conclusion</p> <p>From the results of multivariate analysis, the data strongly supported the Weibull can elicit more precise results as an alternative to Cox based on AIC.</p>http://www.biomedcentral.com/1471-230X/11/1 |
| spellingShingle | Liu Shun F Adnan Ahmed Yu Chuan H Xia Xin Zhu Hui P Du Yu K Application of Weibull model for survival of patients with gastric cancer BMC Gastroenterology |
| title | Application of Weibull model for survival of patients with gastric cancer |
| title_full | Application of Weibull model for survival of patients with gastric cancer |
| title_fullStr | Application of Weibull model for survival of patients with gastric cancer |
| title_full_unstemmed | Application of Weibull model for survival of patients with gastric cancer |
| title_short | Application of Weibull model for survival of patients with gastric cancer |
| title_sort | application of weibull model for survival of patients with gastric cancer |
| url | http://www.biomedcentral.com/1471-230X/11/1 |
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