A SAS macro for estimating direct adjusted survival functions for time-to-event data with or without left truncation.

ABSTRACT: There are several statistical programmes to compute direct adjusted survival estimates from results of the Cox proportional hazards model. However, when used to analyze observational databases with large sample sizes or highly stratified treatment groups such as in registry-related datasets, these programmes are inefficient or unable to generate confidence bands and simultaneous p values. Also, these programmes do not consider potential left-truncation in retrospectively collected data. To address these deficiencies we developed a new SAS macro %adjsurvlt() able to produce direct adjusted survival estimates based on a stratified Cox model. The macro has improved computational performance and is able to handle left-truncated and right-censored time-to-event data. Several mechanisms were imp

SUBMITTER: Hu ZH 

PROVIDER: S-EPMC9396933 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature