R F Mould

Summary

Publications

  1. ncbi Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models
    R F Mould
    Department of Radiotherapy, Royal Marsden Hospital, London, UK
    Phys Med Biol 47:3893-924. 2002
  2. ncbi Methodology to predict a maximum follow-up period for breast cancer patients without significantly reducing the chance of detecting a local recurrence
    Richard F Mould
    Biostatistiques, Institut Curie, 26, rue d Ulm, 75231 Paris Cedex 05, France
    Phys Med Biol 49:1079-83. 2004
  3. ncbi Parametric modelling to predict survival time to first recurrence for breast cancer
    Bernard Asselain
    Phys Med Biol 48:L31-3. 2003
  4. ncbi Prediction of long-term survival rates of cancer patients
    Richard F Mould
    Lancet 361:262. 2003
  5. ncbi Methodology for lognormal modelling of malignant pleural mesothelioma survival time distributions: a study of 5580 case histories from Europe and USA
    Richard F Mould
    Klinikum Offenbach, Strahlenklinik, 66 Starkenburgring, 63069 Offenbach am Main, Germany
    Phys Med Biol 49:3991-4004. 2004

Collaborators

Detail Information

Publications5

  1. ncbi Methodology to predict long-term cancer survival from short-term data using Tobacco Cancer Risk and Absolute Cancer Cure models
    R F Mould
    Department of Radiotherapy, Royal Marsden Hospital, London, UK
    Phys Med Biol 47:3893-924. 2002
    ..Our conclusion is that at least for cancer of the glottic larynx, the answer to the question: 'Can cancer totally be cured?' is 'Yes to at least 15-years post-treatment and also probably to 25 years.'..
  2. ncbi Methodology to predict a maximum follow-up period for breast cancer patients without significantly reducing the chance of detecting a local recurrence
    Richard F Mould
    Biostatistiques, Institut Curie, 26, rue d Ulm, 75231 Paris Cedex 05, France
    Phys Med Biol 49:1079-83. 2004
    ..The methodology is equally applicable for cancers at other sites where the prognosis is good and some local recurrences may not occur until several years post-treatment...
  3. ncbi Parametric modelling to predict survival time to first recurrence for breast cancer
    Bernard Asselain
    Phys Med Biol 48:L31-3. 2003
  4. ncbi Prediction of long-term survival rates of cancer patients
    Richard F Mould
    Lancet 361:262. 2003
  5. ncbi Methodology for lognormal modelling of malignant pleural mesothelioma survival time distributions: a study of 5580 case histories from Europe and USA
    Richard F Mould
    Klinikum Offenbach, Strahlenklinik, 66 Starkenburgring, 63069 Offenbach am Main, Germany
    Phys Med Biol 49:3991-4004. 2004
    ..Pleural mesothelioma is a special case when C = 0...