Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis

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Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis

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The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses. |

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Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis

The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses. |

A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in surveillance, epidemiology, and end results (SEER) database

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Development and validation of nomograms to intraoperatively predict metastatic patterns in regional lymph nodes in patients diagnosed with esophageal cancer

A nomogram for screening esophageal squamous cell carcinoma based on environmental risk factors in a highincidence area of China: A populationbased case-control study

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Impact of enhanced recovery after surgery protocol compliance on patients’ outcome in benign hysterectomy and establishment of a predictive nomogram model

Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: A competing risk nomogram analysis

Đang chuẩn bị liên kết để tải về tài liệu: Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis

The five-year cumulative incidence rate in patients diagnosed with stage I small-cell lung cancer (SCLC) who were instructed to undergo surgery was from 40 to 60%.The death competition influence the accuracy of the classical survival analyses. |

A nomogram model to predict death rate among non-small cell lung cancer (NSCLC) patients with surgery in surveillance, epidemiology, and end results (SEER) database

A nomogram to predict lymph node metastasis risk for early esophageal squamous cell carcinoma

A web-based dynamic Nomogram for predicting instrumental activities of daily living disability in older adults: A nationally representative survey in China

A new nomogram model for prognosis of hepatocellular carcinoma based on novel gene signature that regulates cross-talk between immune and tumor cells

A novel risk score model based on eight genes and a nomogram for predicting overall survival of patients with osteosarcoma

Development and validation of nomograms to intraoperatively predict metastatic patterns in regional lymph nodes in patients diagnosed with esophageal cancer

A nomogram for screening esophageal squamous cell carcinoma based on environmental risk factors in a highincidence area of China: A populationbased case-control study

A nomogram prediction model for lymph node metastasis in endometrial cancer patients

Impact of enhanced recovery after surgery protocol compliance on patients’ outcome in benign hysterectomy and establishment of a predictive nomogram model

Construction and validation of the prognostic model for patients with neuroendocrine cervical carcinoma: A competing risk nomogram analysis

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Nomogram model for predicting causespecific mortality in patients with stage I small-cell lung cancer: A competing risk analysis