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A practical overview and statistical analysis of interval-censored data in cancer
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作者 Tanujit Dey Stuart Lipsitz +4 位作者 Zara Cooper Debajyoti Sinha Quoc-Dien Trinh Alexander Cole timothy n.clinton 《Cancer Communications》 2025年第12期1666-1669,共4页
In many clinical,biomedical,and epidemiologic cancer studies,the outcome of interest is the time until an event(or failure)occurs,and“survival analysis”is performed to estimate the effect of covariates on survival.M... In many clinical,biomedical,and epidemiologic cancer studies,the outcome of interest is the time until an event(or failure)occurs,and“survival analysis”is performed to estimate the effect of covariates on survival.Most clinical investigators are familiar with the term“right censoring”.The type of censoringwe focus on in this paper is“intervalcensoring”[1-3]. 展开更多
关键词 right censoring cancer studies interval censoring BIOMEDICAL EPIDEMIOLOGIC estimate effect covariates survivalmost survival analysis clinical investigators
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