Publications

Project related publications

• Properties of the log-rank type test for comparing net survival distributions:

  PAVLIČ, Klemen, POHAR PERME, Maja. On comparison of net survival curves.  BMC Medical  Research Methodology, 2017, 17:79. Open source
   

• Comparison of the different measures in relative survival:

POHAR PERME, Maja, ESTEVE, Jacues, RACHET, Bernard. Analysing population-based cancer survival – settling the controversies. BMC Cancer, 2016 (PDF, Open source)

Selected previous publications of the group on the topics of the project

• The overall estimation of net survival - a description of all the available methods, a new proposal:

POHAR PERME, Maja, STARE, Janez, ESTEVE, Jacques. On Estimation of relative survival.  PDF

• On the topic of informative censoring:

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)

• A semi-parametric additive model:

POHAR PERME, Maja, HENDERSON, Robin, STARE, Janez. An approach to estimation in relative survival regression. Biostat. (Oxf. Print), 2009, 10 (1): 136-146. PDF, supplement

• Basic description of the package relsurv and the regression models available:

POHAR, Maja, STARE, Janez. Relative survival analysis in R. Computer Methods and Programs in Biomedicine, 2006, 81 (3): 272-278. PDF

• Description of the methods, description of the package relsurv:

POHAR PERME, Maja, STARE, Janez. Making relative survival analysis relatively easy. Comput. biol. med., 2007, 37 (12): 1741-1749. PDF

• The idea of the individual relative survival:

STARE, Janez, HENDERSON, Robin, POHAR, Maja. An individual measure of relative survival. Journal of the Royal Statistical Society Series C, 2005, 54 (1), 115-126. PDF

• Goodness of fit:

STARE, Janez, POHAR, Maja, HENDERSON, Robin. Goodness of fit of relative survival models. Statistics in Medicine, 2005, 24 (24): 3911-3925. PDF

• Description of all the methods, interpretation of the different model results:

POHAR PERME, Maja, STARE, Janez, HENDERSON, Robin. Goodness of fit in relative survival regression. V: 57th Session of the International Statistical Institute, 16-22 August 2009, Durban. Abstracts. Durban: Statistics South Africa, 2009, str. 170. PDF

• An overview paper on pseudo-observations:

ANDERSEN KRAGH, Per, POHAR PERME, Maja. Pseudo-observations in survival analysis. Stat Methods Med Res, 2010, 19: 71-99 (doi), (PDF)

• The usage of pseudo-observations in checking the assumptions of regression models in survival:

POHAR PERME, Maja, ANDERSEN KRAGH, Per. Checking hazard regression models using pseudo-observations. Stat Med, 2008, 27 (25): 5309-5328 (doi), (NIH free access)
 

• An R and  SAS package for using pseudo-observations:

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)