Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Estimation of absolute risk from nested case-control data

B Langholz1, O Borgan

  • 1Department of Preventive Medicine, University of Southern California, School of Medicine, Los Angeles 90033, USA.

Biometrics
|June 1, 1997
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Risk factors and timing of relapse after allogeneic transplantation in pediatric ALL: for whom and when should interventions be tested?

Bone marrow transplantation·2015
Same author

Modelling the spread of infectious salmon anaemia among salmon farms based on seaway distances between farms and genetic relationships between infectious salmon anaemia virus isolates.

Journal of the Royal Society, Interface·2011
Same author

[Effect of rocking motion on labor pain before epidural catheter insertion in the sitting position].

Annales francaises d'anesthesie et de reanimation·2010
Same author

Risk for contralateral breast cancer among carriers of the CHEK2*1100delC mutation in the WECARE Study.

British journal of cancer·2008
Same author

Endometrial carcinoma risk among women diagnosed with endometrial hyperplasia: the 34-year experience in a large health plan.

British journal of cancer·2007
Same author

Predicting survival from microarray data--a comparative study.

Bioinformatics (Oxford, England)·2007
Same journal

Fast penalized generalized estimating equations for large longitudinal functional datasets.

Biometrics·2026
Same journal

Causally-interpretable random-effects meta-analysis.

Biometrics·2026
Same journal

Statistical inference for mean function of partially observed functional time series.

Biometrics·2026
Same journal

Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

Biometrics·2026
Same journal

Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

Biometrics·2026
Same journal

Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

Biometrics·2026
See all related articles

This study introduces new methods for estimating absolute disease risk using individually matched nested case-control data. These advanced techniques handle complex covariate histories and various sampling designs for improved accuracy.

Area of Science:

  • Epidemiology
  • Biostatistics
  • Medical Research

Background:

  • Existing methods for estimating absolute risk from case-control studies are limited, particularly for unmatched designs and categorical covariates (Benichou and Gail, 1995).
  • Prior work on relative mortality in nested case-control studies (Borgan and Langholz, 1993) provides a foundation for extending absolute risk estimation.
  • There is a need for methods that can handle more complex data structures common in epidemiological research.

Purpose of the Study:

  • To develop and present methods for estimating absolute risk from individually matched nested case-control studies.
  • To extend existing methodologies to accommodate continuous and time-dependent covariate histories.
  • To address the complexities of case sampling and various control sampling designs within nested case-control studies.

Related Experiment Videos

Main Methods:

  • Development of statistical methods building upon relative mortality estimation in nested case-control studies.
  • Incorporation of techniques to handle continuous covariate data and time-varying covariate histories.
  • Adaptation of methods to account for specific case-control sampling strategies within cohort studies.

Main Results:

  • Successful extension of absolute risk estimation to individually matched nested case-control data.
  • Demonstration of the methods' ability to incorporate continuous and time-dependent covariate information.
  • Validation of the approach across different case and control sampling designs.

Conclusions:

  • The presented methods offer a robust framework for estimating absolute disease risk in individually matched nested case-control studies.
  • These techniques provide greater flexibility and accuracy compared to previous approaches, especially with complex covariate data.
  • The findings enhance the utility of nested case-control studies for quantitative risk assessment in epidemiology.