Skip to main content

Future Developments

  • Chapter
  • First Online:
Analysis of Survival Data with Dependent Censoring

Part of the book series: SpringerBriefs in Statistics ((JSSRES))

  • 1279 Accesses

Abstract

This final chapter introduces two open problems for future research. This might help find research topics for students and researchers.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 49.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bakoyannis G, Touloumi G (2017) Impact of dependent left truncation in semiparametric competing risks methods: a simulation study. Commun Stat Simul Comput 46(3):2025–2042

    Article  MathSciNet  MATH  Google Scholar 

  • Chaieb LL, Rivest LP, Abdous B (2006) Estimating survival under a dependent truncation. Biometrika 93(3):655–669

    Article  MathSciNet  MATH  Google Scholar 

  • Chen YH (2010) Semiparametric marginal regression analysis for dependent competing risks under an assumed copula. J R Stat Soc Ser B Stat Methodol 72:235–251

    Article  MathSciNet  Google Scholar 

  • Emura T, Chen YH (2016) Gene selection for survival data under dependent censoring, a copula-based approach. Stat Methods Med Res 25(6):2840–2857

    Article  MathSciNet  Google Scholar 

  • Emura T, Murotani K (2015) An algorithm for estimating survival under a copula-based dependent truncation model. Test 24(4):734–751

    Article  MathSciNet  MATH  Google Scholar 

  • Emura T, Pan CH (2017) Parametric likelihood inference and goodness-of-fit for dependently left-truncated data, a copula-based approach, Stat Pap, https://doi.org/10.1007/s00362-017-0947-z

  • Emura T, Wang W (2010) Testing quasi-independence for truncation data. J Multivar Anal 101:223–239

    Article  MathSciNet  MATH  Google Scholar 

  • Emura T, Wang W (2012) Nonparametric maximum likelihood estimation for dependent truncation data based on copulas. J Multivar Anal 110:171–188

    Article  MathSciNet  MATH  Google Scholar 

  • Hyde J (1980) Survival analysis with incomplete observations. In: Miller RG, Efron B, Brown BW, Moses LE (eds) Biostatistics casebook. Wiley, New York, pp 31–46

    Google Scholar 

  • Klein JP, Moeschberger ML (2003) Survival analysis techniques for censored and truncated data. Springer, New York

    MATH  Google Scholar 

  • Moradian H, Denis Larocque D, Bellavance F (2017). Survival forests for data with dependent censoring, Stat Methods Med Res, https://doi.org/10.1177/0962280217727314

  • Rivest LP, Wells MT (2001) A martingale approach to the copula-graphic estimator for the survival function under dependent censoring. J Multivar Anal 79:138–155

    Article  MathSciNet  MATH  Google Scholar 

  • Rodríguez-Girondo M, Deelen J, Slagboom EP, Houwing-Duistermaat JJ (2016). Survival analysis with delayed entry in selected families with application to human longevity. Stat Methods Med Res, https://doi.org/10.1177/0962280216648356

  • Zheng M, Klein JP (1995) Estimates of marginal survival for dependent competing risks based on an assumed copula. Biometrika 82(1):127–138

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2018 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Emura, T., Chen, YH. (2018). Future Developments. In: Analysis of Survival Data with Dependent Censoring. SpringerBriefs in Statistics(). Springer, Singapore. https://doi.org/10.1007/978-981-10-7164-5_6

Download citation

Publish with us

Policies and ethics