Life, Reliability and Survival Models

REG5

Duration : 1.0 day(s)

:: Course Summary

This workshop deals with modeling techniques used for life data (time-to-event) and their specific features, the interpretation of results, strengths and weaknesses and also discusses their practical realization. Several applications in the social sciences, engineering and life sciences will be presented.

:: Learning Objectives

Upon completion of this training course, participants will have learned:

The motivation and the principle underlying statistical tools to analyze life data
To be able to use tools used to compare survival curves
To know the scope and limitations of the various approaches available

:: Target Audience

This applied training session in statistics is aimed at all scientific staff who collect data and who must make decisions based on them. The regression techniques covered in this session will be particularly useful for people who are interested in analyzing time-to-event data: time during which people stay in their job, time before a part breaks, survival of patients after treatment.

:: Prerequisite

This training session deals with the analysis of life data with special regression techniques.

Participants should know the essential tools in simple and multiple linear regression. They must have used it before and know how to detect common modeling problems and how to solve them, etc.

Either by having attended the training session Linear and Multiple Linear Regression Techniques or possess an equivalent level.

:: Topics Covered

Reliability and failure time data: typical questions
- Importance of reliability
- From simple to more complex cases
- The bathtub curve (U shaped)
- Questions of interest

Introduction to Life Data
- Historical origin
- A widening range of applications
- What are life data ?
- Specific data acquisition and analysis issued
- Typical layout of results

Need to Use Specific Data Analysis Methods
- Life data and Normal distribution
- Other modeling problems

Data Analysis of Failure Time Data: Available Methods
- Overview of the goals of survival analysis

Modeling Survival Curves
- General statistical concepts
- Nonparametric approach
- Parametric approach
- Regression models: Cox and alternatives
- Semiparametric models
- Accelerated life models: principle and limitations

Summary

:: Course Content

This one-day session covers regression models for life data, a technique used to analyze time-to-event data. The training covers the objectives of such regression techniques, modeling, parameter estimation, interpretation of model coefficients, goodness-of-fit and validation measures, prediction in regression, problems commonly encountered in regression, ways to detect them and to solve them.