ST409 : Survival Data Analysis

Department

Department of Statistics

Academic Program

Bachelor in Statistics

Type

Elective

Credits

04

Prerequisite

ST305ST308

Overview

  • Identify the basic concepts in analyzing life data.
  • Estimating the life curve and comparing two or more curves.
  • Methods of analyzing life data and its applications in a practical way.
  • Identify some parametric models for analyzing life data.

Intended learning outcomes

أ‌. (Knowledge & understand)

أ.1

The student will be able to deal with and identify the types of life data and their characteristics.

أ.2

The student will be able to estimate and interpret life curves and compare their rates for different groups.

أ.3

The student will be able to choose the appropriate model and test its validity.

أ.4

The student will be able to identify some parametric models for analyzing life data.

ب‌. (Mental skills)

ب.1

The student will be able to distinguish between the types of life data.

ب.2

The student can analyze and interpret curves of life data.

ب.3

The student can choose the appropriate form for the data.

ب.4

The student will be able to identify the parametric models for the analysis of life data.

ج ـ (Practical & professional skills)

ج.1

The ability to distinguish between types of life data.

ج.2

The ability to analyze life data for different sets of data.

ج.3

The ability to interpret the results of life data curves.

ج.4

The ability to distinguish between parametric and non-parametric models and interpret their results.

د -(Generic and transferable skills)

د.1

Ability to work in a team to analyze life data.

د.2

The ability to use computer software to analyze data.

د.3

The student will be able to use it in future data.

Teaching and learning methods

  • Lectures
  • Exercises
  • Statistical software

Methods of assessments

First evaluation

The first exam

25%

Sixth week

Second evaluation

The second exam

25%

Twelfth week

Final evaluation

The final exam

50%

Sixteenth week

Total

100 Point

100%

Course (contents)

Scientific topic

Number of Hours

Lecture

laboratory

Exercises

discussion

Number of weeks

Introduction to Life Data Analysis

10

8

2

2

Life curve estimation

10

8

2

2

compare two or more life curves and confidence intervals

10

8

2

2

First Exam

Cox's model and methods for testing its validity

10

8

2

2

Parametric models of life data

10

8

2

2

Probability analysis of variables

10

8

2

2

Second Exam

Other models

10

8

2

2

(References)

Bibliography

Publisher

Version

Author

Where it is located

Rapporteur notes

Course Professor's Memoirs

Textbooks

Springer

2003

J.P. Klein and M.L. Moeschberger

Help Books

John Wiley & Sons

2008

Hosmer, Jr, DW. and Lemeshow, S.

Chapman & Hall

2003

Collett, D.

Scientific Journals

Other