1. Editor's page

   EditorialNotes Pages: 185 - 185

2. Integrating prognostic factors

   • Gary M. Clark

   OriginalPaper Pages: 187 - 191

3. Prognostic factors in clinical trials

   • Steve Dahlberg
   • Ping-Yu Liu

   OriginalPaper Pages: 193 - 196

4. Why do so many prognostic factors fail to pan out?

   • Susan Galloway Hilsenbeck
   • Gary M Clark
   • William L McGuire

   OriginalPaper Pages: 197 - 206

5. The Nottingham prognostic index in primary breast cancer

   • Marcus H. Galea
   • Roger W. Blamey
   • Ian O. Ellis

   OriginalPaper Pages: 207 - 219

6. Confirmation of a prognostic index for patients with metastatic breast cancer treated by endocrine therapy

   • JFR Robertson
   • AR Dixon
   • RW Blamey

   OriginalPaper Pages: 221 - 227

7. A graphical approach to the analysis of censored data

   • Robert Gentleman
   • John J. Crowley

   OriginalPaper Pages: 229 - 240

8. Flexible covariate effects in the proportional hazards model

   • Treyor Hastie
   • Lynn Sleeper
   • Robert Tibshirani

   OriginalPaper Pages: 241 - 250

9. Making the most of your prognostic factors: Presenting a more accurate survival model for breast cancer patients

   • Karen L. Knorr
   • Susan G. Hilsenbeck
   • Gary M. Clark

   OriginalPaper Pages: 251 - 262

10. A comparison of all-subset Cox and accelerated failure time models with Cox step-wise regression for node-positive breast cancer

    • Judy-Anne W. Chapman
    • Maureen E. Trudeau
    • Lavina A. Lickley

    OriginalPaper Pages: 263 - 272

11. Proportional hazards and recursive partitioning and amalgamation analyses of the southwest oncology group node-positive adjuvant CMFVP breast cancer data base: a pilot study

    • Kathy S. Albain
    • Stephanie Green
    • C. Kent Osborne

    OriginalPaper Pages: 273 - 284

12. A practical application of neural network analysis for predicting outcome of individual breast cancer patients

    • Peter M. Ravdin
    • Gary M. Clark

    OriginalPaper Pages: 285 - 293