Skip to main content

Die Problematik von Subgruppenanalysen in klinischen Studien: Eine hypothetische klinische Studie beim Mammakarzinom

  • Chapter
Methodik klinischer Studien

Part of the book series: Statistik und ihre Anwendungen ((STATIST))

  • 3199 Accesses

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 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

20.5 Literatur

  • Altman DG, Matthews JNS. Interaction 1: Heterogeneity of effects. British Medical Journal 1996; 313:486.

    Google Scholar 

  • Assmann SF, Pocock SJ, Enos LE, Kasten LE. Subgroup analysis and other (mis)uses of baseline data in clinical trials. Lancet 2000; 355:1064–1069.

    Article  Google Scholar 

  • Bland JM, Altman DG. Multiple significance tests: The Bonferroni method. British Medical Journal 1995; 310:170.

    Google Scholar 

  • Gail M, Simon R. Testing for qualitative interactions between treatment effects and patient subsets. Biometrics 1985; 41:361–372.

    Article  MATH  Google Scholar 

  • Horn M, Vollandt R. Multiple Tests und Auswahlverfahren. Stuttgart: Gustav Fischer Verlag, 1995

    MATH  Google Scholar 

  • Horwitz RI, Singer BH, Makuch RW, Viscoli CM. Can treatment that is helpful on average be harmful to some patients? A study of conflicting information needs of clinical enquiry and drug regulation. Journal of Clinical Epidemiology 1996; 49:395–400.

    Article  Google Scholar 

  • Ingelfinger JA, Mosteller F, Thibodeau LA, Ware JH. Biostatistics in clinical medicine. New York: Macmillian, 1983.

    Google Scholar 

  • Lee KL, McNeer JF, Starmer CF, Harris PJ, Rosati RA. Lessons from a simulated randomized trial in coronary artery disease. Circulation 1980; 61:508–515.

    Google Scholar 

  • Matthew JNS, Altman DG. Interaction 2: Compare effect sizes not P values. British Medical Journal 1996; 313:808.

    Google Scholar 

  • Matthew JNS, Altman DG. Interaction 3: How to examine heterogeneity. British Medical Journal 1996; 313:862.

    Google Scholar 

  • Nowak R. Problems in clinical trials go far beyond misconduct. Science 1994; 264:1538–1541.

    Article  Google Scholar 

  • Pocock SJ, Hughes MD, Lee RJ. Statistical problems in the reporting of clinical trials: A survey of three medical journals. New England Journal of Medicine 1987; 317:426–432.

    Article  Google Scholar 

  • Schmoor C, Olschewski M, Schumacher M. Randomized and non-randomized patients in clinical trials: Experiences with Comprehensive Cohort Studies. Statistics in Medicine 1996; 15:263–271.

    Article  Google Scholar 

  • Schmoor C, Ulm K, Schumacher M. Comparison of the Cox model and the regression tree procedure in analysing a randomized clinical trial. Statistics in Medicine 1993;12:2351–2366.

    Google Scholar 

  • Schumacher M, Bastert G, Bojar H, et al. for the German Breast Cancer Study Group (GBSG). Randomized 2×2 trial evaluating hormonal treatment and the duration of chemotherapy in node-positive breast cancer patients. Journal of Clinical Oncology 1994; 12:2086–2093.

    Google Scholar 

  • Senn S, Harrell FE. On subgroups and grouping for significance (letter). Journal of Clinical Epidemiology 1998; 51:1367.

    Google Scholar 

  • Simon R. Patient subsets and variation in therapeutic efficacy. British Journal of Clinical Pharmacology 1982; 14:473–482.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Schmoor, C. (2007). Die Problematik von Subgruppenanalysen in klinischen Studien: Eine hypothetische klinische Studie beim Mammakarzinom. In: Methodik klinischer Studien. Statistik und ihre Anwendungen. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-36990-5_20

Download citation

Publish with us

Policies and ethics