Survival analysis is a branch of statistics that examines the expected duration until one or more events occur, such as death or failure. Traditionally applied in medical research and reliability ...

Survival analysis is an essential statistical framework employed to examine time-to-event data, frequently encountered in clinical trials. By properly accounting for censored observations—cases where ...

Adding immunotherapy to chemotherapy before surgery for patients with operable non-small cell lung cancer—the leading cause of cancer deaths worldwide—improved long-term survival overall compared with ...

Abbreviations: ECOG PS, Eastern Cooperative Oncology Group performance status; NA, not applicable; NGS, next-generation sequencing; PCR, polymerase chain reaction. Fig 1. Kaplan-Meier estimates of (A) ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Researchers say machine learning advances make it possible to use more sophisticated body composition analyses to assess risk of mortality from idiopathic pulmonary fibrosis (IPF). A team of ...

Johnson & Johnson’s newly FDA-approved lung cancer combination of Rybrevant and Lazcluze is inching ever closer to a statistically significant survival showing, which could help it better challenge ...

The first overall survival analysis of the KEYNOTE-522 trial showed positive outcomes with neoadjuvant pembrolizumab plus chemotherapy followed by adjuvant pembrolizumab monotherapy vs neoadjuvant ...

Abbreviations: ChT, chemotherapy; CT, computed tomography; ECOG PS, Eastern Cooperative Oncology Group performance status; ER, estrogen receptor; ET, endocrine ...