IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v68y2012i1p113-120.html
   My bibliography  Save this article

On Estimation in Relative Survival

Author

Listed:
  • Maja Pohar Perme
  • Janez Stare
  • Jacques Estève

Abstract

No abstract is available for this item.

Suggested Citation

  • Maja Pohar Perme & Janez Stare & Jacques Estève, 2012. "On Estimation in Relative Survival," Biometrics, The International Biometric Society, vol. 68(1), pages 113-120, March.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:1:p:113-120
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2011.01640.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Satten, Glen A. & Datta, Somnath & Robins, James, 2001. "Estimating the marginal survival function in the presence of time dependent covariates," Statistics & Probability Letters, Elsevier, vol. 54(4), pages 397-403, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alessia Eletti & Giampiero Marra & Manuela Quaresma & Rosalba Radice & Francisco Javier Rubio, 2022. "A unifying framework for flexible excess hazard modelling with applications in cancer epidemiology," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(4), pages 1044-1062, August.
    2. Peter Cnudde & Szilard Nemes & Maziar Mohaddes & John Timperley & Göran Garellick & Kristina Burström & Ola Rolfson, 2017. "Is Preoperative Patient-Reported Health Status Associated with Mortality after Total Hip Replacement?," IJERPH, MDPI, vol. 14(8), pages 1-13, August.
    3. Nicolas Bovio & Michel Grzebyk & Patrick Arveux & Jean-Luc Bulliard & Arnaud Chiolero & Evelyne Fournier & Simon Germann & Isabelle Konzelmann & Manuela Maspoli & Elisabetta Rapiti & Irina Guseva Canu, 2022. "Work-Related Factors and Lung Cancer Survival: A Population-Based Study in Switzerland (1990–2014)," IJERPH, MDPI, vol. 19(21), pages 1-16, October.
    4. Peter Sasieni & Adam R. Brentnall, 2017. "On standardized relative survival," Biometrics, The International Biometric Society, vol. 73(2), pages 473-482, June.
    5. Adelaida García-Velasco & Lluís Zacarías-Pons & Helena Teixidor & Marc Valeros & Raquel Liñan & M. Carmen Carmona-Garcia & Montse Puigdemont & Walter Carbajal & Raquel Guardeño & Núria Malats & Eric D, 2020. "Incidence and Survival Trends of Pancreatic Cancer in Girona: Impact of the Change in Patient Care in the Last 25 Years," IJERPH, MDPI, vol. 17(24), pages 1-22, December.
    6. Olayidé Boussari & Laurent Bordes & Gaëlle Romain & Marc Colonna & Nadine Bossard & Laurent Remontet & Valérie Jooste, 2021. "Modeling excess hazard with time‐to‐cure as a parameter," Biometrics, The International Biometric Society, vol. 77(4), pages 1289-1302, December.
    7. Alicia Villavicencio & Marta Solans & Lluís Zacarías-Pons & Anna Vidal & Montse Puigdemont & Josep Maria Roncero & Marc Saez & Rafael Marcos-Gragera, 2021. "Comorbidities at Diagnosis, Survival, and Cause of Death in Patients with Chronic Lymphocytic Leukemia: A Population-Based Study," IJERPH, MDPI, vol. 18(2), pages 1-10, January.
    8. Sho Komukai & Satoshi Hattori, 2017. "Doubly robust estimator for net survival rate in analyses of cancer registry data," Biometrics, The International Biometric Society, vol. 73(1), pages 124-133, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richard J. Cook & Jerald F. Lawless, 2020. "Failure time studies with intermittent observation and losses to follow‐up," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 47(4), pages 1035-1063, December.
    2. Tchetgen Tchetgen, Eric J. & Robins, James, 2012. "On parametrization, robustness and sensitivity analysis in a marginal structural Cox proportional hazards model for point exposure," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 907-915.
    3. Shen, Pao-sheng, 2010. "Semiparametric estimation of survival function when data are subject to dependent censoring and left truncation," Statistics & Probability Letters, Elsevier, vol. 80(3-4), pages 161-168, February.
    4. Fan, Jie & Datta, Somnath, 2011. "Fitting marginal accelerated failure time models to clustered survival data with potentially informative cluster size," Computational Statistics & Data Analysis, Elsevier, vol. 55(12), pages 3295-3303, December.
    5. Somnath Datta & Glen A. Satten, 2002. "Estimation of Integrated Transition Hazards and Stage Occupation Probabilities for Non-Markov Systems Under Dependent Censoring," Biometrics, The International Biometric Society, vol. 58(4), pages 792-802, December.
    6. Datta, Somnath & Satten, Glen A., 2001. "Validity of the Aalen-Johansen estimators of stage occupation probabilities and Nelson-Aalen estimators of integrated transition hazards for non-Markov models," Statistics & Probability Letters, Elsevier, vol. 55(4), pages 403-411, December.
    7. Subramanian, Sundarraman & Bandyopadhyay, Dipankar, 2010. "Doubly robust semiparametric estimation for the missing censoring indicator model," Statistics & Probability Letters, Elsevier, vol. 80(7-8), pages 621-630, April.
    8. Brent A. Johnson & Anastasios A. Tsiatis, 2004. "Estimating Mean Response as a Function of Treatment Duration in an Observational Study, Where Duration May Be Informatively Censored," Biometrics, The International Biometric Society, vol. 60(2), pages 315-323, June.
    9. Pablo Gonzalez Ginestet & Ales Kotalik & David M. Vock & Julian Wolfson & Erin E. Gabriel, 2021. "Stacked inverse probability of censoring weighted bagging: A case study in the InfCareHIV Register," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(1), pages 51-65, January.
    10. Rubin Daniel B & van der Laan Mark J., 2008. "Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis," The International Journal of Biostatistics, De Gruyter, vol. 4(1), pages 1-40, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:biomet:v:68:y:2012:i:1:p:113-120. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.