Exponential model for simulation data via multiple imputation in the present of partly interval-censored data / Salman Umer and Faiz Elfaki

Survival analysis or time-to-event analysis refers to a set of methods to analyze the time between entry to a study and a subsequent event where time to failure of an experimental unit and that could be one of the main types of censored such as Partly Interval-Censored (PIC). In this paper, the like...

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Main Authors: Umer, Salman (Author), Elfaki, Faiz (Author)
Format: Book
Published: 2021.
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100 1 0 |a Umer, Salman  |e author 
700 1 0 |a Elfaki, Faiz  |e author 
245 0 0 |a Exponential model for simulation data via multiple imputation in the present of partly interval-censored data / Salman Umer and Faiz Elfaki 
260 |c 2021. 
500 |a https://ir.uitm.edu.my/id/eprint/56169/1/56169.pdf 
520 |a Survival analysis or time-to-event analysis refers to a set of methods to analyze the time between entry to a study and a subsequent event where time to failure of an experimental unit and that could be one of the main types of censored such as Partly Interval-Censored (PIC). In this paper, the likelihoods are applied to estimate the function of survival and parameters in the exponential model when imputation methods such as Multiple Imputation (MI) and Left Imputation (LI) in the present of PIC data. The numerical evidence via simulated breast cancer data suggests that the estimates from MI are more accurate than the LI in the present of PIC data. In additional to that the patient who received chemotherapy and hormone treatment has greater survival rate than a patient who did not receive both treatments. 
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690 |a QA Mathematics 
690 |a Matrix analytic methods 
690 |a Data processing 
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655 7 |a PeerReviewed  |2 local 
787 0 |n https://ir.uitm.edu.my/id/eprint/56169/ 
856 4 1 |u https://ir.uitm.edu.my/id/eprint/56169/  |z Link Metadata