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- W4312971421 abstract "The research in this study is concerned with implementing techniques in data involving Partly Interval Censoring (PIC) observations to evaluate survival analysis. Partly Interval Censoring (PIC) is one of the censoring strategies used in the survival analysis, which may help with several forms of data, especially the incomplete ones. The log-logistic Cox model were used by focussing on adjusted PIC simulation data based on real medical data. It was found that our model is effective and flexible for simulated PIC data. Survival distribution feature plots against failure periods are used to analyze the predicted survival trends for the two kinds of failures." @default.
- W4312971421 created "2023-01-05" @default.
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- W4312971421 date "2022-01-01" @default.
- W4312971421 modified "2023-10-14" @default.
- W4312971421 title "Log-logistics Cox model for simulated partly interval censored data in the presence of imputations techniques" @default.
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- W4312971421 doi "https://doi.org/10.1063/5.0109894" @default.
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