Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies

DOI10.1002/SIM.9190zbMATH Open1546.62556MaRDI QIDQ6628190

Somnath Datta, Jaakko Nevalainen, Mikael Knip, Jorma Toppari, Jorma Ilonen, Riitta Veijola, Heikki Hyöty, Suvi M. Virtanen

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

incomplete datacorrelated datamultivariate survival analysistype 1 diabetes

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data
• One- and two-sample nonparametric inference procedures in the presence of a mixture of independent and dependent censoring
• Logistic disease incidence models and case-control studies
• A Hybrid Algorithm for Computation of the Nonparametric Maximum Likelihood Estimator From Censored Data
• Flexible Bayesian additive joint models with an application to type 1 diabetes research
• Prospective Analysis of Logistic Case-Control Studies
• Multiple imputation: current perspectives

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