Maja Pohar Perme

  • PAVLIČ, Klemen, POHAR PERME, Maja. On comparison of net survival curves.  BMC Medical  Research Methodology, 2017, 17:79. Open source
  • POHAR PERME, Maja, ESTEVE, Jacues, RACHET, Bernard. Analysing population-based cancer survival – settling the controversies. BMC Cancer, 2016 (PDF)
  • ŠTUPNIK, Tomaž, POHAR PERME, Maja. Analyzing disease recurrence with missing at risk information. Statistics in medicine, 2015. (PDF The definitive version is available at onlinelibrary.wiley.com.) (doi)
  • REBOLJ KODRE, Anamarija, POHAR PERME, Maja. Informative censoring in relative survival. Statistics in Medicine, 2013, 32: 4791-4802 (PDF The definitive version is available at onlinelibrary.wiley.com.) (doi)
  • POHAR PERME, Maja, STARE, Janez, ESTEVE, Jacques. On estimation in relative survival. Biometrics, 2012, 68: 113-120. (doi), (PDF The definitive version is available at onlinelibrary.wiley.com.)
  • STARE, Janez, POHAR PERME, Maja, HENDERSON, Robin. A measure of explained variation for event history data. Biometrics, 2011 (PDF), (doi)
  • ANDERSEN KRAGH, Per, POHAR PERME, Maja. Pseudo-observations in survival analysis. Stat Methods Med Res, 2010, 19: 71-99 (doi), (PDF)
  • POHAR PERME, Maja, HENDERSON, Robin, STARE, Janez. An approach to estimation in relative survival regression. Biostat., 2009, 10(1): 136-146, (doi), (PDF, supplement)
  • ANDERSEN KRAGH, Per, POHAR PERME, Maja. Inference for outcome probabilities in multi-state models. Lifetime data anal., 2008, 14(4): 405-431 (doi), (PDF)
  • POHAR PERME, Maja, ANDERSEN KRAGH, Per. Checking hazard regression models using pseudo-observations. Stat Med, 2008, 27 (25): 5309-5328 (doi), NIH free access:(http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2749183/)
  • KLEIN, John P., GERSTER, Mette, ANDERSEN, Per Kragh, TARIMA, Sergey, POHAR PERME, Maja. SAS and R functions to compute pseudo-values for censored data regression. Comput. methods programs biomed., 2008, 89 (3): 289-300 (doi), (PDF)
  • POHAR PERME, Maja, STARE, Janez. Making relative survival analysis relatively easy. Comput. biol. med., 2007, 37 (12): 1741-1749. (doi), (PDF)
  • POHAR PERME, Maja, STARE, Janez. Relative survival analysis in R. Comput. methods programs biomed., 2006, 81(3): 272-278. (doi), (PDF)
  • VIDMAR, Gaj, POHAR PERME, Maja. Augmented convex hull plots: rationale, implementation in R and biomedical applications. Comput. methods programs biomed., 2005, 78: 69-74, (doi), (PDF)
  • STARE, Janez, POHAR PERME, Maja, HENDERSON, Robin. Goodness of fit of relative survival models. Stat Med, 2005, 24(24): 3911-3925. (doi), (PDF)

About IBMI

Institute for Biostatistics and Medical Informatics (IBMI), formerly Institute for BioMedical Informatics (so still IBMI) was founded by the Faculty of Medicine as a result of a need for a unit which would perform, or coordinate, tasks related to data analysis and providing information, relevant for research in medicine. The programme of the institute, and its development, have been adjusting thorugh time to changes in financing and technological progress, but the basic aim remain the same: to support research in medicine. This is achieved through the following tasks:

Contact

Institute for Biostatistics and Medical Informatics
University of Ljubljana, Faculty of Medicine
Vrazov trg 2, 1000 Ljubljana
Slovenia

tel: +386 1 543-77-70
fax: +386 1 543-77-71
email: ibmi (at) mf.uni-lj.si