Ørnulf Borgan
Ørnulf Borgan
Professor of Statistics, University of Oslo, Norway
Verified email at - Homepage
Cited by
Cited by
Statistical models based on counting processes
PK Andersen, O Borgan, RD Gill, N Keiding
Springer Science & Business Media, 2012
Survival and event history analysis: a process point of view
O Aalen, O Borgan, H Gjessing
Springer Science & Business Media, 2008
Predicting survival from microarray data—a comparative study
HM Bøvelstad, S Nygård, HL Størvold, M Aldrin, Ø Borgan, A Frigessi, ...
Bioinformatics 23 (16), 2080-2087, 2007
Counting process models for life history data: A review [with discussion and reply]
PK Andersen, Ø Borgan, NL Hjort, E Arjas, J Stene, O Aalen
Scandinavian Journal of Statistics, 97-158, 1985
TP53mutation status and gene expression profiles are powerful prognostic markers of breast cancer
A Langerød, H Zhao, Ø Borgan, JM Nesland, IRK Bukholm, T Ikdahl, ...
Breast cancer research 9 (3), 1-16, 2007
Exposure stratified case-cohort designs
O Borgan, B Langholz, SO Samuelsen, L Goldstein, J Pogoda
Lifetime data analysis 6 (1), 39-58, 2000
Linear nonparametric tests for comparison of counting processes, with applications to censored survival data, correspondent paper
PK Andersen, Ø Borgan, R Gill, N Keiding
International Statistical Review/Revue Internationale de Statistique, 219-244, 1982
A method for checking regression models in survival analysis based on the risk score
JK Grønnesby, Ø Borgan
Lifetime data analysis 2 (4), 315-328, 1996
Counter-matching: a stratified nested case-control sampling method
B Langholz, ØR BORGAN
Biometrika 82 (1), 69-79, 1995
Methods for the analysis of sampled cohort data in the Cox proportional hazards model
O Borgan, L Goldstein, B Langholz
The Annals of Statistics, 1749-1778, 1995
Nickel allergy and hand dermatitis in a stratified sample of the Danish female population: an epidemiological study including a statistic appendix.
T Menné, Ö Borgan, A Green
Acta dermato-venereologica 62 (1), 35-41, 1982
Maximum likelihood estimation in parametric counting process models, with applications to censored failure time data
Ø Borgan
Scandinavian Journal of Statistics, 1-16, 1984
A note on confidence intervals and bands for the survival function based on transformations
Ø Borgan, K Liestøl
Scandinavian Journal of Statistics, 35-41, 1990
Survival models and martingale dynamics [with Discussion and Reply]
E Arjas, N Keiding, Ø Borgan, PK Andersen, B Natvig
Scandinavian Journal of Statistics, 177-225, 1989
Interaction between life history events. Nonparametric analysis for prospective and retrospective data in the presence of censoring
OO Aalen, Ø Borgan, N Keiding, J Thormann
Scandinavian Journal of Statistics, 161-171, 1980
Censoring, truncation and filtering in statistical models based on counting processes
PK Andersen, Ø Borgan, RD Gill, N Keiding
AMS, 1988
Survival prediction from clinico-genomic models-a comparative study
HM Bøvelstad, S Nygård, Ø Borgan
BMC bioinformatics 10 (1), 1-9, 2009
Estimation of absolute risk from nested case-control data
B Langholz, Ø Borgan
Biometrics, 767-774, 1997
Confidence intervals and confidence bands for the cumulative hazard rate function and their small sample properties
O Bie, Ø Borgan, K Liestøl
Scandinavian Journal of Statistics, 221-233, 1987
Covariate adjustment of event histories estimated from Markov chains: the additive approach
OO Aalen, Ø Borgan, H Fekjær
Biometrics 57 (4), 993-1001, 2001
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