survival analysis


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sur·viv·al a·nal·y·sis

a class of statistical procedures for estimating survival rates and making inferences about effects of treatment, prognostic factors, and other concerns.

survival analysis

Statistics Assessment of the amount of time that a person or population lives after a particular intervention or condition

survival analysis

An evaluation of how long patients in a clinical trial live. The rate of death is monitored over time.
Synonym: time-to-event analysis
References in periodicals archive ?
Survival analysis was performed using the Kaplan-Meier method for univariate analysis and Cox regression for multivariate analysis.
In either case, survival analysis is a method where a time to an event, such as death or equipment failure, is measured and modeled.
In a multivariate survival analysis controlled for gender, age, type of practice, and insurance, there was no significant difference in time from enrollment to receipt of the third HPV vaccine dose for those receiving a phone reminder, compared with controls (hazard ratio, 1.
Tenders are invited for: Upgrade of drama s spacecraft entry survival analysis codes
today announced new data from the Phase 2 TERRAIN trial of enzalutamide compared to bicalutamide in metastatic castration-resistant prostate cancer (CRPC), as well as an updated overall survival analysis from the placebo-controlled Phase 3 PREVAIL trial of enzalutamide in chemotherapy-naive metastatic CRPC.
We used a set of statistical techniques called survival analysis, specifically Cox regression (Cox, 1972) and Kaplan-Meier analysis to study the impact of the independent variables on probability of turnover and employee tenure.
In a survival analysis that controlled for men's background characteristics and sexual behaviors, the adjusted hazard ratio of HIV acquisition among circumcised men was 0.
Univariate (Kaplan-Meier) and multivariable (Cox model) survival analysis were performed, using disease-specific mortality as an endpoint.
co-developer of the Kaplan-Meier survival analysis, died on August 7 at age 87.
We used survival analysis to estimate the duration of infection (from virus inoculation to the last day virus was shed) and nonlinear models to evaluate temporal patterns in virus shedding.
It details which of the models can be applied to real data using standard statistical packages, basic and general concepts in survival analysis, univariate and shared frailty models, the correlated frailty model and its extensions, copula models, and different problems related to frailty models such as tests for homogeneity, identifiability aspects, and available software.