MTH6157 - Survival Models - 2023/24
Topic | Name | Description |
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4 minute video introducing the module | ||
Week 1 : Introduction, Modelling Mortality | Lecture PowerPoint Monday week 1 | module introduction |
Lecture PowerPoint - Thursday week 1 | Heterogeneity and the actuarial concept of Selection |
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Notes on introduction to R programming | ||
English Life Tables data set | ||
BBC News article on extreme weather related deaths 2022 | short article here, full ONS report below |
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ONS paper on climate related mortality | link to full Office for National Statistics report here, BBC News reporting above |
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The Actuary magazine article on global longevity research | article here, full Swiss Re report below |
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Swiss Re research on global expected future life expectancy | link to full Swiss Re Institute report here, article from The Actuary above |
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Example using R programming in week 1 | Why linear regression modelling does not work for survival models, example using National Life Tables data |
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Week 2 : Survival Model Concepts | 3 minute video introducing week 2 | |
Lecture PowerPoint week 2 | survival model concepts - you will also need to access the "demonstration" pdf's below to complete the notes |
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Demonstration 2 | ||
Demonstration 3 | ||
Demonstration 4 | ||
Demonstration 5 | ||
Demonstration 6 | ||
Notes on R programming | using R commands and functions for week 2 survival model concepts including exponential and Gompertz models |
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Exercise Sheet 1 - handwritten questions to practice | ||
Exercise sheet 2 - questions in R | ||
Solutions to handwritten Exercise Sheet 1 | ||
Solutions to R programming Exercise Sheet 2 | ||
Week 3: Censoring and the Kaplan Meier Estimate | Lecture PowerPoint for week 3 | non-parametric approaches, censoring, Kaplan-Meier Estimate |
Notes on R programming for the Kaplan Meier Estimate | ||
Tutorial Question for week 3 (using R) | Kaplan Meier in R |
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Tutorial Question (using R) solution | This is the question we went through live in the Thursday lecture - full R code and plot given here |
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Exercise Sheet - handwritten questions to practice | ||
Exercise sheet solutions | ||
Assessed Coursework 1 | Data file for coursework | You will need to download this csv file and load it into R for the coursework |
Assessed Coursework Question and Instructions | ||
Coursework 1 Solutions | ||
Week 4: Proportional Hazard Models | Two and a half minute intro to week 4 video | |
Lecture PowerPoint week 4 | parametric modelling, covariate data, proportional hazards, Cox's PH model |
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Demonstration 7 | maximum likelihood estimation in the exponential model |
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Tutorial question for week 4 (exam style) | Cox's Proportional Hazard interpretation and calculations |
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Tutorial Question solution | ||
Notes on R programming for Cox PH models | ||
Dataset referred to in Notes on R programming above | CoxPHdataset.csv |
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Exercise sheet - handwritten questions to practice | questions on covariate data and Cox's PH model |
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Solutions to exercise sheet questions | ||
Week 5: Markov Processes and Multi State Models | 3 minute intro to week 5 video | |
Lecture PowerPoint week 5 | Markov processes, 2-state and multi-state models |
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Demonstration 8 | ||
Demonstration 9 | ||
additional practice question | this is a challenging question on multi state models and their use in social security |
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Week 6: Statistical approximations to Multi State Models | Lecture PowerPoint week 6 | Binomial and Poisson approximations to the Multi State model and model comparisons |
Tutorial Question | based on week 5 material - two state and multi state models and their use in insurance |
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Tutorial question solution | for more details on this question and alternative solutions see the recording of the lecture on Monday 30 Oct |
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Drone failure exercise | ||
Climate change application for survival models | ||
Week 8: Exposed to Risk | Lecture PowerPoint week 8 | exposed to risk |
Continuous Mortality Investigation (CMI) web pages | ||
Tutorial Questions week 8 | Past paper exposed to risk questions from this module and IFoA exam papers |
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Tutorial question solutions | ||
Further practice questions week 8 | ||
Practice question solutions | ||
Dataset for practice calculation in R | will be used in Thursday lecture to practice calculating exposed to risk by census and then estimating the transition intensity by age |
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R code and output from example used in lecture | ||
Assessed Coursework 2 | Coursework 2 Question and Instructions | |
Amber.csv | ||
Diamond.csv | ||
Sapphire.csv | ||
Coursework 2 - solution | ||
Week 9: Statistical Tests | Lecture PowerPoint weeks 9 and 10 | graduation and statistical tests |
Practice handwritten questions on statistical tests | ||
Tutorial question using R | example problem question on the Chi-Squared test in R |
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Additional R example question | This question was actually set as assessed coursework in 2022 |
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Week9_dataset.csv | you will need this CSV file for the Additional R question above |
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Video showing worked solution to Tutorial Question using R | ||
Video showing worked solution in R to additional question | This question was set as assessed coursework in 2022 |
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Solutions for practice handwritten questions | ||
Week 10: Graduation Methods | Lecture PowerPoint | weeks 9 and 10 |
Tutorial question on various Statistical Tests | ||
Data in the tutorial question | The question above should be answered as an exam-style question with calculator rather than Excel or R but the data is here in excel in case helpful |
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Tutorial question - solution | ||
Additional practice question on Graduation | ||
IFoA past paper question on Graduation and tests | ||
Solution to IFoA past paper question | ||
Week 11: Mortality Projections | Lecture PowerPoint | Monday week 11, mortality projections methods |
Tutorial Question week 11 | interpretation of the Lee Carter parameters |
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Lee Carter example in R | ||
Deaths data for Lee Carter example | ||
Exposed to Risk data for Lee Carter example | ||
Week 12: Revision | Past Paper for revision lecture 11/12/2003 | This is the 2020 LSR paper from which we will use Q1,2,3,4 in the Monday revision session (Q5 is on GLM which has moved from this module to Stats Modelling 2 / Actuarial Statistics since 2020) |
Solutions for 2020 LSR paper used in revision lecture | ||
January 2023 Past Paper | ||
January 2023 Solutions | ||
January 2022 Past Paper | ||
January 2022 solutions | ||
January 2021 Past Paper | ||
January 2021 solutions | ||
January 2020 Past Paper | Note this was a 2 hour exam on campus Q5 relates to a topic no longer on the syllabus for this module - Generalised Linear Modelling |
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January 2020 solutions |