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DeDAY

beta

MLE survival analysis: Gompertz, Weibull, Logistic and mixed morality.

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Description

DeDAY (Demography Data Analyses) is a tool of analyzing demography data. It supports Gompertz, Weibull and Logistic distributions.

DeDay also supports mixed mortality models based on these distribution such as the Gompertz-Makeham distribution. Distributions such as Gompertz describes only age-dependent mortality, which increases over time. Mixed mortality models, such as in Gompertz-Makeham distribution, consider a more general case where mortality is consist of both age-dependent and in-dependent mortality.

Mixed models partition mortality into exogenous and endogenous components, so that the intrinsic survivorship can be estimated without the interference from extrinsic noise.

DeDAY supports both interval-censored data and exact event-time data. Using MLE (Maximum Likelihood Estimate), DeDAY fits statistic model to the data. DeDAY also calculates the variances and the multi-dimensional confidence limits of model parameters.

DeDAY is free for academic users.

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Additional Project Details

Intended Audience

Advanced End Users, End Users/Desktop, Healthcare Industry, Science/Research

User Interface

Carbon (Mac OS X), Win32 (MS Windows), wxWidgets

Programming Language

Python

Registered

2013-06-25
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