The logrank test

By J. Bland, D. G. Altman. British medical journal, 2004

920 citations recorded by the source corpus.

Subfields: Cancer Research, Pathology and Forensic Medicine, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/4160064690611b073b6ee76df7582c2fd802b856

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Ming Y. Lu
2. Drew F. K. Williamson
3. Faisal Mahmood

In Statistics and Probability

1. Martin Hermy

Citations in the corpus

• Ki67 Index, HER2 Status, and Prognosis of Patients With Luminal B Breast Cancer (2009, neutral): “41 (30-57) 47 (40-55) 64 (59-69) 81 (77-85)”
• Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis (2019, methodology): “we use the Log Rank Test to measure if the difference of two survival curves is statistically significance [69].”
• Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. (2006, neutral): “Race African American 196 (40) 52 (52) 16 (48) 93 (36) 25 (32) 10 (32) .”
• Restoration of Dry Afromontane Forest Using Pioneer Shrubs as Nurse‐Plants for Olea europaea ssp. cuspidata (2007, methodology): “In this statistic, time-points are weighed by the number of individuals at risk at each time-point, which is the main difference with the log-rank test most commonly applied on survival data (Bland & Altman 2004).”