مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

4,130
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

APPLICATION OF BOOTSTRAP SAMPLE-RESAMPLE METHOD IN LOGISTIC REGRESSON IN ANALYSIS OF BREAST CANCER DATA

Pages

  9-18

Abstract

 Background and Aim: The purpose of this study was to assess the accuracy of the BOOTSTRAP METHOD in LOGISTIC REGRESSION and to explore the method's use in LOGISTIC REGRESSION models in cases where the sample size is insufficient.Materials and Methods: We use data from 150 patients who had undergone surgery at the Cancer Institute, Emam Khomeini hospital during from 1999 to 2001. Then we drew repeated samples of size 50 from these 150 patients.Results: Applying ordinary LOGISTIC REGRESSION, an appropriate model we fitted to the initial data. Then confidence intervals and standard errors were computed for all regression coefficients. There are many situations where the sample size is insufficient and conditions for using ordinary LOGISTIC REGRESSION are not met. In these cases the use of the BOOTSTRAP METHOD not only produces more accurate estimations of regression coefficients, but with repeated sampling, produces estimates very close to the true values. This holds for the estimation of regression coefficients, confidence intervals and standard errors of coefficients.Conclusion: In this study we show the optimal number of replications and the optimal sample size when using the BOOTSTRAP METHOD in studies involving relatively small sample sizes.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    BANI ASADI, M., BABAEI, GH.R., ZERAATI, H.A., & MEMARI, F.. (2005). APPLICATION OF BOOTSTRAP SAMPLE-RESAMPLE METHOD IN LOGISTIC REGRESSON IN ANALYSIS OF BREAST CANCER DATA. JOURNAL OF SCHOOL OF PUBLIC HEALTH AND INSTITUTE OF PUBLIC HEALTH RESEARCH, 4(1(13)), 9-18. SID. https://sid.ir/paper/84918/en

    Vancouver: Copy

    BANI ASADI M., BABAEI GH.R., ZERAATI H.A., MEMARI F.. APPLICATION OF BOOTSTRAP SAMPLE-RESAMPLE METHOD IN LOGISTIC REGRESSON IN ANALYSIS OF BREAST CANCER DATA. JOURNAL OF SCHOOL OF PUBLIC HEALTH AND INSTITUTE OF PUBLIC HEALTH RESEARCH[Internet]. 2005;4(1(13)):9-18. Available from: https://sid.ir/paper/84918/en

    IEEE: Copy

    M. BANI ASADI, GH.R. BABAEI, H.A. ZERAATI, and F. MEMARI, “APPLICATION OF BOOTSTRAP SAMPLE-RESAMPLE METHOD IN LOGISTIC REGRESSON IN ANALYSIS OF BREAST CANCER DATA,” JOURNAL OF SCHOOL OF PUBLIC HEALTH AND INSTITUTE OF PUBLIC HEALTH RESEARCH, vol. 4, no. 1(13), pp. 9–18, 2005, [Online]. Available: https://sid.ir/paper/84918/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button