Ørnulf Borgan

Summary

Affiliation: University of Oslo
Country: Norway

Publications

  1. ncbi TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer
    Anita Langerød
    Department of Genetics, Institute for Cancer Research, Rikshospitalet Radiumhospitalet Medical Center, Oslo, Norway N 0310
    Breast Cancer Res 9:R30. 2007
  2. ncbi Survival prediction from clinico-genomic models--a comparative study
    Hege M Bøvelstad
    Department of Mathematics, University of Oslo, Blindern, NO 0316 Oslo, Norway
    BMC Bioinformatics 10:413. 2009
  3. ncbi Exposure stratified case-cohort designs
    O Borgan
    Department of Mathematics, University of Oslo, Norway
    Lifetime Data Anal 6:39-58. 2000
  4. ncbi Estimation of covariate-dependent Markov transition probabilities from nested case-control data
    Ørnulf Borgan
    Department of Mathematics, University of Oslo, PO Box 1053, Blindern, N 0316 Oslo, Norway
    Stat Methods Med Res 11:183-202. 2002
  5. ncbi Covariate adjustment of event histories estimated from Markov chains: the additive approach
    O O Aalen
    Section of Medical Statistics, University of Oslo, Norway
    Biometrics 57:993-1001. 2001

Collaborators

  • S O Samuelsen
  • B Langholz
  • O O Aalen
  • Hege M Bøvelstad
  • Anita Langerød
  • O Borgan
  • Ornulf Borgan
  • Stale Nygard
  • Stefanie S Jeffrey
  • Tone Ikdahl
  • Anne Lise Børresen-Dale
  • Jahn M Nesland
  • Hongjuan Zhao
  • Rolf Karesen
  • Ida R K Bukholm
  • L Goldstein
  • J Pogoda

Detail Information

Publications5

  1. ncbi TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer
    Anita Langerød
    Department of Genetics, Institute for Cancer Research, Rikshospitalet Radiumhospitalet Medical Center, Oslo, Norway N 0310
    Breast Cancer Res 9:R30. 2007
    ....
  2. ncbi Survival prediction from clinico-genomic models--a comparative study
    Hege M Bøvelstad
    Department of Mathematics, University of Oslo, Blindern, NO 0316 Oslo, Norway
    BMC Bioinformatics 10:413. 2009
    ..Also, for the widely used Cox regression model, it is not obvious how to handle such combined models...
  3. ncbi Exposure stratified case-cohort designs
    O Borgan
    Department of Mathematics, University of Oslo, Norway
    Lifetime Data Anal 6:39-58. 2000
    ..We found that all of the proposed analysis methods performed well and were more efficient than a randomly sampled case-cohort study...
  4. ncbi Estimation of covariate-dependent Markov transition probabilities from nested case-control data
    Ørnulf Borgan
    Department of Mathematics, University of Oslo, PO Box 1053, Blindern, N 0316 Oslo, Norway
    Stat Methods Med Res 11:183-202. 2002
    ....
  5. ncbi Covariate adjustment of event histories estimated from Markov chains: the additive approach
    O O Aalen
    Section of Medical Statistics, University of Oslo, Norway
    Biometrics 57:993-1001. 2001
    ..A program in R and S-PLUS that can carry out the analyses described here has been developed and is freely available on the Internet...