Estimation and interpretation of models of absolute risk from epidemiologic data, including family-based studies

DOI10.1007/S10985-007-9070-0zbMath1169.62091OpenAlexW1972400370WikidataQ31138839 ScholiaQ31138839MaRDI QIDQ1029787

Mitchell H. Gail

Publication date: 13 July 2009

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-007-9070-0

zbMATH Keywords

calibrationcumulative incidencediscriminatory accuracyfamily-based design

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Competing Risks Models and Breast Cancer: A Brief Review

Uses Software

• cmprsk
• BOADICEA

Cites Work

• Asymptotic distribution theory and efficiency results for case-cohort studies
• Inference for covariates that accounts for ascertainment and random genetic effects in family studies
• A Marginal Likelihood Approach for Estimating Penetrance from Kin‐Cohort Designs
• Biased estimates of treatment effect in randomized experiments with nonlinear regressions and omitted covariates
• A case-cohort design for epidemiologic cohort studies and disease prevention trials
• A Method for Obtaining Short-Term Projections and Lower Bounds on the Size of the AIDS Epidemic
• The Analysis of Failure Times in the Presence of Competing Risks
• Estimation of Absolute Risk from Nested Case-Control Data
• A Proportional Hazards Model for the Subdistribution of a Competing Risk
• Some Biases That May Affect Kin-Cohort Studies for Estimating the Risks from Identified Disease Genes
• Case–Control and Case‐Only Designs with Genotype and Family History Data: Estimating Relative Risk, Residual Familial Aggregation, and Cumulative Risk
• On criteria for evaluating models of absolute risk
• Population-Calibrated Gene Characterization
• Specifying and Implementing Nonparametric and Semiparametric Survival Estimators in Two-Stage (Nested) Cohort Studies With Missing Case Data
• Effects of violations of assumptions on likelihood methods for estimating the penetrance of an autosomal dominant mutation from kin-cohort studies.

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