Biostatistics III in R: Survival analysis for epidemiologists

In biostat3: Utility Functions, Datasets and Extended Examples for Survival Analysis

Installation instructions

Instructions are available on-line and off-line.

Computing laboratory exercises (on-line)

# Description Questions R code Solutions

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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

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Computing laboratory exercises (off-line)

# Description Questions R code Solutions

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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

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biostat3 documentation built on Oct. 29, 2024, 5:07 p.m.