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- Distinguish different types of survival data (e.g., completed, right/left censored, right/left truncated);
- Identify basic quantities and survival models;
- Conduct basic nonparametric and parametric inferences and hypothesis testing;
- Apply semiparametric Cox proportional hazards model and extensions and check its assumption;
- Perform sample size calculations for time-to-event data;
- Describe survival analysis techniques for recurrent/multivariate events data and competing risk;
- Use R software to analyze various datasets.

- Klein & Moeschberger (K&M): Survival Analysis: Techniques for censored and truncated data (2003, 2nd edition)

- Modeling Survival Data: Extending the Cox Model by Terry M. Therneau and Patricia M. Grambsch (2000)

I | Attachment | Action | Size | Date | Who | Comment |
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xlsx | labSchedule.xlsx | manage | 5.4 K | 23 Aug 2013 - 09:21 | JoAnnAlvarez | Lab schedule and classroom locations |

csv | SINET-MTD-stats-04-02-13.csv | manage | 9.4 K | 23 Aug 2013 - 09:37 | JoAnnAlvarez | example data for lab 2013 08 23 |

R | readinmtd.R | manage | 5.0 K | 23 Aug 2013 - 09:38 | JoAnnAlvarez | R script to read data example for lab 2013 08 23 |

Lab2.pdf | manage | 97.4 K | 30 Aug 2013 - 11:45 | JoAnnAlvarez | lab 2 | |

R | lab2.R | manage | 2.2 K | 30 Aug 2013 - 13:33 | JoAnnAlvarez | R code for lab 2 |

csv | tonguecancer.csv | manage | 2.9 K | 10 Sep 2013 - 23:35 | JoAnnAlvarez | example data |

Topic revision: r8 - 18 Aug 2017, NathanTJames

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