Surv is the pioneering online survival analysis tool, designed for swift and efficient survival forecasting. It is instrumental for modeling the long-term effectiveness of health technologies when faced with limited clinical data.
Key Features of Surv:
- 1Kaplan-Meier survival analysis based on uploaded data in the form of:a) Screenshots
b) Scatter plots
c) Individual Patient Data (IPD) - 2Statistical analysis of two interventions:a) Cox proportional hazards model (estimation of hazard ratio and its 95% confidence interval).
b) Testing the proportional hazards assumption - 3Forecasting survival using:a) Standard distributions (exponential, Weibull, Gompertz, and more).
b) Splines
c) Mixture Cure Model
The use of this Surv is free and accessible through open registration.
Quickstart guide for using Surv
Surv is optimized for seamless performance on the following desktop web browsers: Google Chrome, Microsoft Edge. Mobile browsers are not supported
We appreciate your feedback on using Surv and welcome any comments or suggestions for its further development. You can reach us using the following form:
Contact us
Email: info@pharmanalytics.me
United Arab Emirates, Ras Al Khaimah, Al Hulaila Industrial Zone-FZ, Shed No.23, W6_SO15
Disclaimer: Please note that the current version of Surv - version 1.0 - is intended for open public beta testing. Despite significant efforts in the development and testing of Surv, errors and inaccuracies may occur. By signing up and using Surv, you agree that under no circumstances Pharmaceutical Analytics Middle East FZ LLC is responsible for any malfunction of Surv.
United Arab Emirates, Ras Al Khaimah, Al Hulaila Industrial Zone-FZ, Shed No.23, W6_SO15
