Use of Cohort Information in the Design and Analysis of Case‐Control Studies

DOI10.1111/j.1467-9469.2006.00548.xzbMath1142.62101OpenAlexW2146881391MaRDI QIDQ5430603

Bryan Langholz

Publication date: 16 December 2007

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1467-9469.2006.00548.x

zbMATH Keywords

partial likelihoodquota samplingnearest neighbor matchingcounter-matching design

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Secondary analysis under cohort sampling designs using conditional likelihood ⋮ Application of multistate models in hospital epidemiology: Advances and challenges ⋮ Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates ⋮ Latent class based multiple imputation approach for missing categorical data ⋮ A Semiparametric Missing-Data-Induced Intensity Method for Missing Covariate Data in Individually Matched Case-Control Studies ⋮ Study Design in Causal Models

Cites Work

• Unnamed Item
• Exposure stratified case-cohort designs
• Generalized Case–cohort Sampling
• Robust variance estimation for rate ratio parameter estimates from individually matched case-control data
• Logistic Regression Methods for Retrospective Case-Control Studies Using Complex Sampling Procedures
• Statistics in Epidemiology: The Case-Control Study
• Multiplicative Models and Cohort Analysis
• Fitting prospective regression models to case-control data
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• Estimation of Excess Risk from Case-Control Data Using Aalen's Linear Regression Model
• Estimation of Absolute Risk from Nested Case-Control Data
• A pseudolikelihood approach to analysis of nested case-control studies
• Conditional logistic analysis of case-control studies with complex sampling
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• Prospective Analysis of Logistic Case-Control Studies
• Case-cohort and case-control analysis with Cox's model
• On fitting Cox's proportional hazards models to survey data
• Estimation of covariate-dependent Markov transition probabilities from nested case-control data
• Stratified Case‐Cohort Analysis of General Cohort Sampling Designs
• Maximum likelihood estimation for Cox's regression model under nested case-control sampling
• Statistical models based on counting processes

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