Regression models for interval censored survival data: Application to HIV infection in Danish homosexual men

Bendix Carstensen

doi:10.1002/(SICI)1097-0258(19961030)15:20<2177::AID-SIM345>3.0.CO;2-7

Regression models for interval censored survival data: Application to HIV infection in Danish homosexual men

Bendix Carstensen

Technical University of Denmark

Research output: Contribution to journal › Journal article › Research › peer-review

Abstract

This paper shows how to fit excess and relative risk regression models to interval censored survival data, and how to implement the models in standard statistical software. The methods developed are used for the analysis of HIV infection rates in a cohort of Danish homosexual men.

Original language	English
Journal	Statistics in Medicine
Volume	15
Issue number	20
Pages (from-to)	2177-2189
ISSN	0277-6715
DOIs	https://doi.org/10.1002/(SICI)1097-0258(19961030)15:20<2177::AID-SIM345>3.0.CO;2-7
Publication status	Published - 1996

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10.1002/(SICI)1097-0258(19961030)15:20<2177::AID-SIM345>3.0.CO;2-7

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JO - Statistics in Medicine

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Regression models for interval censored survival data: Application to HIV infection in Danish homosexual men

Abstract

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