Checking date: 25/03/2019


Course: 2019/2020

Survival Models
(14240)
Study: Master in Actuarial and Financial Sciences (224)
EPE


Coordinating teacher: USABEL RODRIGO, MIGUEL ARTURO

Department assigned to the subject: Department of Business Administration

Type: Compulsory
ECTS Credits: 3.0 ECTS

Course:
Semester:




Competences and skills that will be acquired and learning results.
Learning objectives The student will be able to understand and apply biometric models and statistical techniques to study human lifespan and medical research. Learning outcomes a) Understanding the main features involved in biometric models of human survival. b) Considering the use of data censoring in the model calibration. c) Knowledge of the most relevant techniques applied to medical research and experiment design: Kaplan-Meier and Nelson-Allen. d) Understanding a multi-state model involving concurring risks such as various types of death and disability and critical sickness. e) Master the graduation and data analysis techniques involved in mortality tables generation. f) Implementing and calibrating models starting from raw data using general purpose and specific software. Learning skills a) Analysis and synthesis b) Problem solving approach c) Work team player. d) Critical reasoning e) Written and verbal communication
Description of contents: programme
Syllabus I. Basic concepts a. Lifespan random variables. b. Hazard rates c. Intro to mortality tables. d. Interpolation techniques e. Medical research models. f. Data censoring II. Multi-state and concurring risk models a. Competing risks models b. Cohort models III. Data Analysis and model calibration. a. Central mortality rates b. Graduation c. From-data-to-analysis approach d. Software implementation
Learning activities and methodology
TEACHING METHODOLOGY I. THEORETICAL CONTENTS a. Classroom interactive work. b. Web based materials and handouts c. Tutorial work. d. Recommended international bibliography. e. Office hours and email interaction. II. PRACTICE a. Examples and exercises and previous exams classroom solving. b. Daily students┬┐ involvement and presentations. c. Computer work. d. Debates and bringing up different standpoints on topics. Critical thinking.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40

The course syllabus and the academic weekly planning may change due academic events or other reasons.