PQHS 435: Survival Data Analysis, Spring 2024

The course information

  • Syllabus (MS word).

  • The course evaluation program final.sas for calculating the final grade.

  • Lecture notes.

  • SAS and Splus programs: chapters 1 and 2; chapters 3 and 4; chapters 5 and 6; chapters 8 and 15; chapter 11.

  • The importance of censoring (event): The STEEP system for BCa version 1 and version 2.
  • Generate a figure as a file in different format in SAS.
  • The shapes of weight in a family of weighted log rank statistics and the related Splus function weight.s.
  • Fitting Cox model with time-dependent covariates using R.

    • Homework assignments

  • Assignment one: the data from a randomized study in patients with NSCLC nsclc.xls .
  • Assignment two: the data for clinical trial of chronic active hepatitis cah.dat (Table B.1, page 499).
  • Assignment three: data for recurrence of bladder cancer study bladder.dat (Table B.2, page 501).
  • Assignment four: data for multiple myeloma study myeloma.dat (Table 1.3, page 9).
  • Assignment five: data for kidney cancer study kidney.dat (Table 3.6, page 67).
  • Assignment six and seven: data for prostatic cancer study prostat.dat (Table 1.4, page 10).
  • Assignment eight and nine: Recurrence of bladder cancer study bladder.dat (Table B.2, page 501).
  • Assignment ten: the data for bone marrow transplantation study bmt.dat (Table B.4, page 503).

    • Some links relevant to the course

  • The computing resourses at Case UTech.
  • Publisher's Website of David Collet's book (Modelling Survival Data in Medical Research) and CWRU bookstore (11434 Uptown).
  • SAS/STAT onlinedoc , Splus User Doc at TIBCO and GraphPad Prism.
  • The comparison of statistical packages.
  • Terry Therneau at Mayo Clinic.
  • Statistical Computing Resources SCR at UCLA.
  • Gompertz-Makeham law of mortality and Kirkwood's deciphering death.