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      KCI등재

      다중대체방법을 이용한 구간 중도 경쟁 위험 모형에서의 이표본 검정 = A two-sample test with interval censored competing risk data using multiple imputation

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      https://www.riss.kr/link?id=A105333515

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      다국어 초록 (Multilingual Abstract)

      Interval censored data frequently occur in observation studies where the subject is followed periodically. In this paper, our interest is to suggest a test statistic to compare the CIF of two groups with interval censored failure time data in the presence of competing risks. Gray (1988) suggested a test statistic for right censored data that motivated a well-known Fine and Gray's subdistribution hazard model. A multiple imputation technique is adopted to adopt Gray's test statistic to interval censored data. The powers and sizes of the suggested method are investigated through diverse simulation schemes. The main merit of the suggested method is its simplicity to implement with existing software for right censored data. The method is illustrated by analyzing Bangkok's HIV cohort dataset.
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      Interval censored data frequently occur in observation studies where the subject is followed periodically. In this paper, our interest is to suggest a test statistic to compare the CIF of two groups with interval censored failure time data in the pres...

      Interval censored data frequently occur in observation studies where the subject is followed periodically. In this paper, our interest is to suggest a test statistic to compare the CIF of two groups with interval censored failure time data in the presence of competing risks. Gray (1988) suggested a test statistic for right censored data that motivated a well-known Fine and Gray's subdistribution hazard model. A multiple imputation technique is adopted to adopt Gray's test statistic to interval censored data. The powers and sizes of the suggested method are investigated through diverse simulation schemes. The main merit of the suggested method is its simplicity to implement with existing software for right censored data. The method is illustrated by analyzing Bangkok's HIV cohort dataset.

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      참고문헌 (Reference)

      1 Turnbull, B. W., "The empirical distribution function with arbitrarily grouped censored and truncated data" 38 : 290-295, 1976

      2 Beyersmann, J., "Simulating competing risk data in survival analysis" 28 : 956-971, 2009

      3 Klein, J. P., "Regression modeling of competing risks data based on pseudo values of the cumulative incidence function" 61 : 223-229, 2005

      4 Hudgens, M. G., "Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation" 57 : 74-80, 2001

      5 Jewell, N. P., "Nonparametric estimation from current status data with competing risks" 90 : 183-197, 2003

      6 Lu, K., "Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure" 57 : 1191-1197, 2001

      7 Bakoyannis, G., "Modelling competing risks data with missing cause of failure" 29 : 3172-3185, 2010

      8 Lindsey, J., "Methods for interval censored data, tutorial in biostatistics" 17 : 219-138, 1998

      9 Jewell, N. P., "Maximum likelihood estimation of ordered multinomial parameters" 5 : 291-306, 2004

      10 Do, G., "Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach" 2017

      1 Turnbull, B. W., "The empirical distribution function with arbitrarily grouped censored and truncated data" 38 : 290-295, 1976

      2 Beyersmann, J., "Simulating competing risk data in survival analysis" 28 : 956-971, 2009

      3 Klein, J. P., "Regression modeling of competing risks data based on pseudo values of the cumulative incidence function" 61 : 223-229, 2005

      4 Hudgens, M. G., "Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation" 57 : 74-80, 2001

      5 Jewell, N. P., "Nonparametric estimation from current status data with competing risks" 90 : 183-197, 2003

      6 Lu, K., "Multiple imputation methods for estimating regression coefficients in the competing risks model with missing cause of failure" 57 : 1191-1197, 2001

      7 Bakoyannis, G., "Modelling competing risks data with missing cause of failure" 29 : 3172-3185, 2010

      8 Lindsey, J., "Methods for interval censored data, tutorial in biostatistics" 17 : 219-138, 1998

      9 Jewell, N. P., "Maximum likelihood estimation of ordered multinomial parameters" 5 : 291-306, 2004

      10 Do, G., "Analysis of interval censored competing risk data with missing causes of failure using pseudo values approach" 2017

      11 Goetghebeur, E., "Analysis of competing risks survival data when some failure types are missing" 82 : 821-834, 1995

      12 Ruan, P. K., "Analyses of cumulative incidence function via non-parametric multiple imputation" 27 : 5709-5724, 2008

      13 Pan, W., "A two-sample test with interval censored data with multiple imputation" 19 : 1-11, 2000

      14 Fine, J. P., "A proportional hazards model for the subdistribution of a competing risk" 94 : 496-509, 1999

      15 Pan, W., "A multiple imputation approach to cox regression with interval censored data" 56 : 199-203, 2000

      16 Gray, R. J., "A class of k-sample tests for comparing the cumulative incidence of a competing risk" 16 : 1141-1154, 1988

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      유사연구자 (20) 활용도상위20명

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2002-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2000-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.38 0.38 0.38
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.35 0.34 0.565 0.17
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