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)

Na kratko o IBMI

Inštitut za biostatistiko in medicinsko informatiko (IBMI), prej Inštitut za biomedicinsko informatiko (torej tudi IBMI), je Medicinska fakulteta ustanovila leta 1973 kot izraz potrebe po izvajanju in usklajevanju del, vezanih na analizo podatkov in posredovanje informacij. Program dela in razvoja se je skozi čas prilagajal predvsem spremembam pri financiranju in tehnološkemu napredku, vendar so temeljne smernice ostale enake: inštitut se predvsem posveča dejavnostim, ki so pomembne za raziskovalno delo v medicini. Te pa lahko razdelimo na:

Kontakt

Inštitut za biostatistiko in medicinsko informatiko
Medicinska fakulteta
Univerza v Ljubljani
Vrazov trg 2, 1000 Ljubljana, Slovenija

tel: (01) 543-77-70
fax: (01) 543-77-71
email: ibmi (at) mf.uni-lj.si