scholarly journals ERRATUM: “ESTIMATION OF RELATIVE AND ABSOLUTE RISKS IN A COMPETING-RISKS SETTING USING A NESTED CASE-CONTROL STUDY DESIGN: EXAMPLE FROM THE PROMORT STUDY”

2020 ◽  
Vol 189 (10) ◽  
pp. 1213-1213
Keyword(s):  
Competing Risks ◽  
Study Design ◽  
Case Control Study ◽  
Case Control ◽  
Nested Case Control ◽  
Control Study

scholarly journals Estimation of Relative and Absolute Risks in a Competing-Risks Setting Using a Nested Case-Control Study Design: Example From the ProMort Study

2019 ◽  
Vol 188 (6) ◽  
pp. 1165-1173 ◽  
Author(s):  
Renata Zelic ◽  
Daniela Zugna ◽  
Matteo Bottai ◽  
Ove Andrén ◽  
Jonna Fridfeldt ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Competing Risks ◽  
Case Control Study ◽  
Case Control ◽  
Likelihood Method ◽  
Cancer Death ◽  
Hazard Ratios ◽  
Prostate Cancer Death ◽  
Nested Case Control ◽  
Control Study

Abstract In this paper, we describe the Prognostic Factors for Mortality in Prostate Cancer (ProMort) study and use it to demonstrate how the weighted likelihood method can be used in nested case-control studies to estimate both relative and absolute risks in the competing-risks setting. ProMort is a case-control study nested within the National Prostate Cancer Register (NPCR) of Sweden, comprising 1,710 men diagnosed with low- or intermediate-risk prostate cancer between 1998 and 2011 who died from prostate cancer (cases) and 1,710 matched controls. Cause-specific hazard ratios and cumulative incidence functions (CIFs) for prostate cancer death were estimated in ProMort using weighted flexible parametric models and compared with the corresponding estimates from the NPCR cohort. We further drew 1,500 random nested case-control subsamples of the NPCR cohort and quantified the bias in the hazard ratio and CIF estimates. Finally, we compared the ProMort estimates with those obtained by augmenting competing-risks cases and by augmenting both competing-risks cases and controls. The hazard ratios for prostate cancer death estimated in ProMort were comparable to those in the NPCR. The hazard ratios for dying from other causes were biased, which introduced bias in the CIFs estimated in the competing-risks setting. When augmenting both competing-risks cases and controls, the bias was reduced.

scholarly journals Estimation and inference for semi-competing risks based on data from a nested case-control study

2020 ◽  
Vol 29 (11) ◽  
pp. 3326-3339
Author(s):  
Ina Jazić ◽  
Stephanie Lee ◽  
Sebastien Haneuse
Keyword(s):  
Competing Risks ◽  
Case Control Study ◽  
Case Control ◽  
Small Sample ◽  
Terminal Event ◽  
Weighted Likelihood ◽  
Hematopoietic Stem ◽  
Hazard Functions ◽  
Nested Case Control ◽  
Control Study

In semi-competing risks, the occurrence of some non-terminal event is subject to a terminal event, usually death. While existing methods for semi-competing risks data analysis assume complete information on all relevant covariates, data on at least one covariate are often not readily available in practice. In this setting, for standard univariate time-to-event analyses, researchers may choose from several strategies for sub-sampling patients on whom to collect complete data, including the nested case-control study design. Here, we consider a semi-competing risks analysis through the reuse of data from an existing nested case-control study for which risk sets were formed based on either the non-terminal or the terminal event. Additionally, we introduce the supplemented nested case-control design in which detailed data are collected on additional events of the other type. We propose estimation with respect to a frailty illness-death model through maximum weighted likelihood, specifying the baseline hazard functions either parametrically or semi-parametrically via B-splines. Two standard error estimators are proposed: (i) a computationally simple sandwich estimator and (ii) an estimator based on a perturbation resampling procedure. We derive the asymptotic properties of the proposed methods and evaluate their small-sample properties via simulation. The designs/methods are illustrated with an investigation of risk factors for acute graft-versus-host disease among N = 8838 patients undergoing hematopoietic stem cell transplantation, for which death is a significant competing risk.

scholarly journals A Simulation Study of Relative Efficiency and Bias in the Nested Case–Control Study Design

2013 ◽  
Vol 2 (1) ◽  
Author(s):  
Stephen Bertke ◽  
Misty Hein ◽  
Mary Schubauer-Berigan ◽  
James Deddens
Keyword(s):  
Study Design ◽  
Simulation Study ◽  
Relative Efficiency ◽  
Case Control Study ◽  
Case Control ◽  
Nested Case Control ◽  
Control Study

scholarly journals California Very Preterm Birth Study: design and characteristics of the population- and biospecimen bank-based nested case-control study

2012 ◽  
Vol 26 (3) ◽  
pp. 250-263 ◽  
Author(s):  
Martin Kharrazi ◽  
Michelle Pearl ◽  
Juan Yang ◽  
Gerald N. DeLorenze ◽  
Christopher J. Bean ◽  
...  
Keyword(s):  
Preterm Birth ◽  
Study Design ◽  
Case Control Study ◽  
Case Control ◽  
Very Preterm ◽  
Very Preterm Birth ◽  
Nested Case Control ◽  
Control Study

Association between glycaemic control and fracture risk in diabetic patients: a nested case control study

2019 ◽  
Author(s):  
J Vavanikunnel ◽  
S Charlier ◽  
C Becker ◽  
C Schneider ◽  
SS Jick ◽  
...  
Keyword(s):  
Glycaemic Control ◽  
Fracture Risk ◽  
Case Control Study ◽  
Case Control ◽  
Diabetic Patients ◽  
Nested Case Control ◽  
Control Study
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