MULTIPLE IMPUTATION IN SURVIVAL MODELS: APPLIED ON BREAST CANCER DATA

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BANESHI M.R.; TALEI A.

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

Journal Paper

Paper Information

Journal: Iranian Red Crescent Medical Journal Year:2011 | Volume:13 | Issue:8 Page(s): 547-552

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Information Journal Paper

Title

MULTIPLE IMPUTATION IN SURVIVAL MODELS: APPLIED ON BREAST CANCER DATA

Author(s)

BANESHI M.R. | TALEI A. | Issue Writer Certificate

Keywords

PROGNOSTIC MODEL

MISSING DATA

MULTIPLE IMPUTATION

BREAST CANCER

Abstract

Background: MISSING DATA is a common problem in cancer research.Although simple methods, such as complete-case (C-C) analysis, are commonly employed to deal with this problem, several studies have shown that such methods lead to biased estimates. The aim of this study was to address the issues encountered in the development of a PROGNOSTIC MODEL when MISSING DATA exist.Patients and Methods: A total of 310 BREAST CANCER patients were recruited.Initially, the patients with MISSING DATA for any of the 4 candidate variables were excluded. Then, the MISSING DATA were imputed 10 times. Cox regression model was fitted to the C-C and imputed data. The results were compared in terms of the variables retained in the model, discrimination ability, and goodness of fit.Results: In the C-C analysis, some variables lost their significance because of a loss in power, but after imputation of the MISSING DATA, these variables reached significant level. The discrimination ability and goodness of fit of the imputed data sets model was higher than those of the C-C model (C-index, 76% versus 72%; likelihood ratio test result, 51.19 versus 32.44).Conclusions: The results indicate the inappropriateness of an ad hoc C-C analysis. This approach leads to loss in power of the variables and imprecise estimates. Application of MULTIPLE IMPUTATION techniques is recommended for avoiding such problems.

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APA: Copy

BANESHI, M.R., & TALEI, A.. (2011). MULTIPLE IMPUTATION IN SURVIVAL MODELS: APPLIED ON BREAST CANCER DATA. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), 13(8), 547-552. SID. https://sid.ir/paper/292396/en

Vancouver: Copy

BANESHI M.R., TALEI A.. MULTIPLE IMPUTATION IN SURVIVAL MODELS: APPLIED ON BREAST CANCER DATA. IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ)[Internet]. 2011;13(8):547-552. Available from: https://sid.ir/paper/292396/en

IEEE: Copy

M.R. BANESHI, and A. TALEI, “MULTIPLE IMPUTATION IN SURVIVAL MODELS: APPLIED ON BREAST CANCER DATA,” IRANIAN RED CRESCENT MEDICAL JOURNAL (IRCMJ), vol. 13, no. 8, pp. 547–552, 2011, [Online]. Available: https://sid.ir/paper/292396/en

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