January 01, 1992 article The accelerated failure time model: A useful alternative to the cox regression model in survival analysis Statistics in Medicine DOI: 10.1002/sim.4780111409 OpenAlex Authors 0 Author list not loaded yet. Cited by 8 stored of 857 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Alternatives to the Cox proportional hazards model: A review of additive hazards and accelerated failure time models 2026 Statistica Neerlandica article Mathematics Statistical Methods and Inference Open access 0 citations A generalized approach for estimating the Pace of Aging 2026 The Journals of Gerontology Series A article Medicine Frailty in Older Adults Open access 0 citations Interpretable approaches for decorrelated sparse survival regression 2026 Neurocomputing article Mathematics Statistical Methods and Inference Open access 0 citations Estimating uncertainty when providing individual cardiovascular risk predictions: a Bayesian survival analysis 2024 Journal of Clinical Epidemiology article Mathematics Statistical Methods in Epidemiology Open access 4 citations The AccelerAge framework: a new statistical approach to predict biological age based on time-to-event data 2024 European Journal of Epidemiology article Biochemistry, Genetics and Molecular Biology Genetics, Aging, and Longevity in Model Organisms Open access 14 citations The AccelerAge framework: A new statistical approach to predict biological age based on time-to-event data 2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Genetics, Aging, and Longevity in Model Organisms Open access 1 citations Analysis of time-to-event for observational studies:Guidance to the use of intensity models 2021 Research at the University of Copenhagen (University of Copenhagen) article Mathematics Advanced Causal Inference Techniques Open access 66 citations Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models 2020 Statistics in Medicine article Mathematics Statistical Methods in Epidemiology Open access 3 citations 8 results References 0