Em Andamento

timeToEventSimulation

This is a second follow-up project to the "timeToEventAnalytic" project.

The original plan had been to do the analytic solution for totalN and nominalPower under the original RAC project and to implement the Halpern simulation, exponential and piecewise, under a separate project. And, to do an optimization as a third project.

At this point, optimization for the analytic solution has been demonstrated and the Halpern simulation for exponential data has been demonstrated using the log rank test for two treatments. In this project, the simulation will be generalized to support a linear model, not just two treatments, using Cox proportional hazards methodology.

This project is to implement the Halpern simulation for treatment by genotype interaction, exponential simulation, using the Cox proportional hazards model. Treatment by genotype interaction modeling with Cox proportional hazards has been done for the analytic case in the "timeToEventAnalyticFollowUp" project on RAC.

Within the complete context of the time-to-event work, this project is item 5 in the list below.

1. Optimization of Cox hazards.

2. Optimization of Goldman's algorithm.

3. Sample Size Estimation.

4. "targeted case" for analytic case.

5. Halpern exponential model simulation.

Habilidades: Programação C, Engenharia, Microsoft, MySQL, PHP, Gestão de projetos, Python, Arquitetura de software, Teste de Software, Área de trabalho do Windows

Ver mais: solution algorithm, goldman, optimization model, optimization algorithm, modeling and simulation, event plan, data analytic, algorithm optimization, linear model project, simulation model, sample methodology, project simulation using, sample size, solution optimization, data modeling using model, test case optimization, simulation project using, sample test plan, rank algorithm, modeling algorithm, project methodology sample

Acerca do Empregador:
( 7 comentários ) United States

ID do Projeto: #2976509

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mathteamvw

See private message.

$1050 USD em 14 dias
(25 Avaliações)
6.6