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A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model
Ling Chen
, Jianguo Sun
Institute for Informatics, Data Science and Biostatistics (I2DB)
Institute of Clinical and Translational Sciences (ICTS)
Research output
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Contribution to journal
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Article
›
peer-review
24
Scopus citations
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Dive into the research topics of 'A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model'. Together they form a unique fingerprint.
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Keyphrases
Additive Hazards Model
100%
AIDS Clinical Trials
33%
Demographical
33%
Epidemiological Study
33%
Failure Time Data
33%
Financial Studies
33%
Imputation Approach
100%
Interval-censored Failure Time Data
100%
Medical Research
33%
Multiple Imputation
100%
Regression Analysis
33%
Right Censoring
33%
Simulation Study
33%
Sociological Research
33%
Survival Time
33%
Time of Interest
33%
Mathematics
Failure Time
100%
Multiple Imputation
100%
Simulation Study
25%
Survival Time
25%