Statistical methods for comparing survival rates at a fixed time point / 中华流行病学杂志
Chinese Journal of Epidemiology
;
(12): 186-188, 2015.
Artículo
en Chino
| WPRIM
| ID: wpr-335174
ABSTRACT
Comparison of survival curves between two groups is an important part of disease prognosis study.Log-rank test is commonly used,but when the two curves' later intersecting opening is too large,the proportion of assumptions is not established,thus the Log-rank test is ineffective.We introduces five statistical tests to compare two survival curves at a fixed time pointsclassic method,logarithmic transformation,cloglog transformation,arcsine transformation and logit transformation.Through the study we found that if the overall survival curves are difficult to compare between groups tested with Log-rank test method or Two-stage test method,the fixed time point test can effectively determine whether there was significant difference in survival rate at a fixed time point.Among the five fixed time point tests,cloglog transformation could give more precise result.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Idioma:
Chino
Revista:
Chinese Journal of Epidemiology
Año:
2015
Tipo del documento:
Artículo
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