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Recent Advances in Mathematics Analysis of Clustered Survival Data in the Presence of Cure with the Gompertz Distribution Model CHIEN-LIN SU1 A. C. Department of Mathematics Northeastern University Boston MA 02115 U.S.A. a.ding neu. edu Abstract - We propose to analyze clustered survival data in presence of cure by a mixed-effect Gompertz model. Most literature for analyzing such data adopts the mixture approach which divides the population into ...
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What is clustered survival data in?
Clustered survival data refers to data collected on a group of individuals or subjects who are connected or related in some way.
Who is required to file clustered survival data in?
Researchers, healthcare providers, or institutions conducting studies or analyzing survival outcomes may be required to file clustered survival data.
How to fill out clustered survival data in?
Clustered survival data can be filled out by entering information on each individual in the study, including relevant demographic and clinical data.
What is the purpose of clustered survival data in?
The purpose of clustered survival data is to analyze the survival outcomes of a group of individuals and identify factors that may influence survival rates.
What information must be reported on clustered survival data in?
Information such as time to event, event status, treatment received, baseline characteristics, and follow-up data may need to be reported on clustered survival data.
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