Competing risks analysis of the case-cohort design

Sørensen, Per Soelberg; Andersen, PK

doi:10.1093/biomet/87.1.49

Cited by 19 publications

(12 citation statements)

References 5 publications

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“…With the size of our cohort and the sample size used, this issue is unlikely to be of importance, as seen in the simulation study [Sørensen and Andersen, 2000].…”

Section: Discussionmentioning

confidence: 98%

“…In the cause-specific death analyses, case adoptees are compared to the same sub-cohort, as this is the point in case-cohort sampling; this creates a correlation between estimated effects [Sørensen and Andersen, 2000]. With the size of our cohort and the sample size used, this issue is unlikely to be of importance, as seen in the simulation study [Sørensen and Andersen, 2000].…”

Section: Discussionmentioning

confidence: 99%

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Premature death of adult adoptees: Analyses of a case‐cohort sample

Petersen

Andersen

Sørensen

2005

Genetic Epidemiology

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Genetic and environmental influence on risk of premature death in adulthood was investigated by estimating the associations in total and cause-specific mortality of adult Danish adoptees and their biological and adoptive parents. Among all 14,425 non-familial adoptions formally granted in Denmark during the period 1924 through 1947, we selected the study population according to a case-cohort sampling design. As the case-control design, the case-cohort design has the advantage of economic data collection and little loss in statistical efficiency, but the case-cohort sample has the additional advantages that rate ratio estimates may be obtained, and re-use of the cohort sample in future studies of other outcomes is possible. Analyses were performed using Kalbfleisch and Lawless's estimator for hazard ratio, and robust estimation for variances. In the main analyses the sample was restricted to birth years of the adoptees 1924 and after, and age of transfer to the adoptive parents before 7 years, and age at death was restricted to 16 to 70 years. The results showed a higher mortality among adoptees, whose biological parents died in the age range of 16 to 70 years; this was significant for deaths from natural causes, vascular causes and all causes. No influence was seen from early death of adoptive parents, regardless of cause of death.

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“…With the size of our cohort and the sample size used, this issue is unlikely to be of importance, as seen in the simulation study [Sørensen and Andersen, 2000].…”

Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Premature death of adult adoptees: Analyses of a case‐cohort sample

Petersen

Andersen

Sørensen

2005

Genetic Epidemiology

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“…Borgan et al (2000); Chen (2001b); and Samuelsen, Anestad, and Skrondal (2007) obtained more efficient estimators by different approaches. Sorensen and Andersen (2000) considered competing risks analysis of case–cohort data.…”

Section: Introductionmentioning

confidence: 99%

Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies

2010

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Summary Case-cohort sampling is a commonly used and efficient method for studying large cohorts. Most existing methods of analysis for case-cohort data have concerned the analysis of univariate failure time data. However, clustered failure time data are commonly encountered in public health studies. For example, patients treated at the same center are unlikely to be independent. In this article, we consider methods based on estimating equations for case-cohort designs for clustered failure time data. We assume a marginal hazards model, with a common baseline hazard and common regression coefficient across clusters. The proposed estimators of the regression parameter and cumulative baseline hazard are shown to be consistent and asymptotically normal, and consistent estimators of the asymptotic covariance matrices are derived. The regression parameter estimator is easily computed using any standard Cox regression software that allows for offset terms. The proposed estimators are investigated in simulation studies, and demonstrated empirically to have increased efficiency relative to some existing methods. The proposed methods are applied to a study of mortality among Canadian dialysis patients.

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“…As expected the combination (D+RT) treatment had the highest coefficient followed by RT and D. For simplicity, we did not consider time-varying coefficients. We have calculated the predicted probability for the treatment groups of interest (Figure 4, Panels a and b, respectively) for women and men of age 45 as described in Section 2.2 (7).…”

Section: Results From Cardiac Morbidity Studymentioning

confidence: 99%

The analysis of case cohort design in the presence of competing risks with application to estimate the risk of delayed cardiac toxicity among Hodgkin Lymphoma survivors

Pintilie

Bai

Yun

et al. 2010

Statistics in Medicine

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The case-cohort design is an economical solution to studying the association between an exposure and a rare disease. When the disease of interest has a delayed occurrence, then other types of event may preclude observation of the disease of interest giving rise to a competing risk situation. In this paper, we introduce a modification of the pseudolikelihood proposed by Prentice (Biometrika 1986; 73:1-11) for the analysis of case-cohort design, to accommodate the existence of competing risks. The modification is based on the Fine and Gray (J. Amer. Statist. Assoc. 1999; 94:496-509) approach to enable the modeling of the hazard of subdistribution. We show through simulations that the estimate that maximizes this modified pseudolikelihood is almost unbiased. The predictive probabilities based on the model are close to the theoretical probabilities. The variance for the estimates can be calculated using the jackknife approach. An application of this method on the analysis of late cardiac morbidity among Hodgkin Lymphoma survivors is presented.

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Competing risks analysis of the case-cohort design

Cited by 19 publications

References 5 publications

Premature death of adult adoptees: Analyses of a case‐cohort sample

Premature death of adult adoptees: Analyses of a case‐cohort sample

Proportional Hazards Regression for the Analysis of Clustered Survival Data from Case-Cohort Studies

The analysis of case cohort design in the presence of competing risks with application to estimate the risk of delayed cardiac toxicity among Hodgkin Lymphoma survivors

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