Predictors of time to FEF.

NIAID Data Ecosystem2026-03-08 收录

生存分析

肺功能预测

数据链接：

https://figshare.com/articles/dataset/_Predictors_of_time_to_FEF_/966820 数据链接链接失效反馈

官方服务：

资源简介：

Results of the survival loglogistic model (N = 1864).

创建时间：

2014-03-19

Supplementary Material for: Assessment of Losartan 50 mg on Survival of Post-Dialysis Euvolemic Hypertensive Patients: Findings from HELD Trial

药物疗效

生存分析

Aims and objective: To estimate the effect of losartan 50 mg on survival of post-dialysis euvolemic hypertensive patients. Methodology: A single center, prospective, single

DataCite Commons2020-08-26 更新60

Red wolf fates by our classifications, 1987–2018 for 508 radio-collared adults.

濒危物种监测

生存分析

The variable n (known fate subset) estimates the sum of known COD, and m (unknown subset) estimates the sum of FU and unknown COD. FU are those wolves who were radio-collared but were lost to USFWS mo

NIAID Data Ecosystem10

Direct effects (beta) of patient, cancer and treatment characteristics on the hazard.

生存分析

癌症预后

Direct effects (beta) of patient, cancer and treatment characteristics on the hazard.

Figshare2016-12-20 更新00

Multivariate Cox proportional hazards model analysis for risk of liver-related mortality (A), and overall mortality (B).

生存分析

肝脏疾病预后

Multivariate Cox proportional hazards model analysis for risk of liver-related mortality (A), and overall mortality (B).

NIAID Data Ecosystem10

Kaplan-meier estimates of median time-to-discontinuation (months).