# Biostatistics III in R: Survival analysis for epidemiologists

#### Annika Tillander, Johan Zetterqvist, Bénédicte Delcoigne, Xingrong Liu, Mark Clements and Andreas Karlsson.

# Installation instructions

Instructions are available on-line and off-line.

# Computing laboratory exercises (on-line)

# | Description | Questions | R code | Solutions
--- | --- | --- | --- | ---
1 | Life tables and Kaplan-Meier estimates | Q1 | q1.R | S1
2 | Comparing survival and rates by stage | Q2 | q2.R | S2
3 | Comparing survival graphically and using the log rank test | Q3 | q3.R | S3
4 | Comparing actuarial and Kaplan-Meier estimators | Q4 | q4.R | S4
6 | Tabulating rates and modelling with Poisson regression | Q6 | q6.R | S6
7 | Model cause-specific mortality with Poisson regression | Q7 | q7.R | S7
8 | Poisson regression adjusting for confounders on different timescales | Q8 | q8.R | S8
9 | Modelling cause-specific mortality using Cox regression | Q9 | q9.R | S9
10 | Examining the proportional hazards hypothesis | Q10 | q10.R | S10
11 | Cox regression with all-cause mortality as the outcome | Q11 | q11.R | S11
12 | Cox model for cause-specific mortality for melanoma | Q12 | q12.R | S12
13 | Modelling the diet data using Cox regression | Q13 | q13.R | S13
14 | Non-collapsibility of proportional hazards models | Q14 | q14.R | S14
22 | Time-varying exposures and the bereavement data | Q22 | q22.R | S22
23 | Calculating SMRs/SIRs | Q23 | q23.R | S23
25 | Generating and analysing a nested case-control (NCC) study | Q25 | q25.R | S25
28 | Flexible parametric survival models in R | Q28 | q28.R | S28

## Computing laboratory exercises (off-line)

# | Description | Questions | R code | Solutions
--- | --- | --- | --- | ---
1 | Life tables and Kaplan-Meier estimates | Q1 | q1.R | S1
2 | Comparing survival and rates by stage | Q2 | q2.R | S2
3 | Comparing survival graphically and using the log rank test | Q3 | q3.R | S3
4 | Comparing actuarial and Kaplan-Meier estimators | Q4 | q4.R | S4
6 | Tabulating rates and modelling with Poisson regression | Q6 | q6.R | S6
7 | Model cause-specific mortality with Poisson regression | Q7 | q7.R | S7
8 | Poisson regression adjusting for confounders on different timescales | Q8 | q8.R | S8
9 | Modelling cause-specific mortality using Cox regression | Q9 | q9.R | S9
10 | Examining the proportional hazards hypothesis | Q10 | q10.R | S10
11 | Cox regression with all-cause mortality as the outcome | Q11 | q11.R | S11
12 | Cox model for cause-specific mortality for melanoma | Q12 | q12.R | S12
13 | Modelling the diet data using Cox regression | Q13 | q13.R | S13
14 | Non-collapsibility of proportional hazards models | Q14 | q14.R | S14
22 | Time-varying exposures and the bereavement data | Q22 | q22.R | S22
23 | Calculating SMRs/SIRs | Q23 | q23.R | S23
25 | Generating and analysing a nested case-control (NCC) study | Q25 | q25.R | S25
28 | Flexible parametric survival models in R | Q28 | q28.R | S28