Analisis Kelangsungan Hidup Pasien Gagal Ginjal di RS Hasanuddin dengan Model Eksponensial 2 Parameter Tersensor Tipe 2
DOI:
https://doi.org/10.29408/eksbar.v2i2.29201Keywords:
Parameter estimation, Two-Parameter Exponential Distribution, Exponential modelAbstract
This study aims to estimate the survival probability of chronic kidney failure patients treated at Hasanuddin University Hospital during the period 2018–2020 using a two-parameter exponential survival model with Type II censoring. Survival analysis was conducted on patient survival time data by applying the two-parameter exponential distribution, where parameter estimation was performed using the Maximum Likelihood Estimation (MLE) method, followed by the construction of confidence intervals for both model parameters and survival functions. The analysis focused on estimating survival probabilities at 60 and 72 months to evaluate long-term patient outcomes. The results show that the estimated survival probability at 60 months is higher than at 72 months, indicating a decreasing survival pattern over time. Furthermore, the confidence interval for the survival function at 60 months is wider than that at 72 months, reflecting greater uncertainty in longer-term survival estimation. These findings suggest that the two-parameter exponential model adequately captures the survival characteristics of chronic kidney failure patients under Type II censoring. In conclusion, the application of this model provides reliable survival estimates and can be effectively utilized in medical survival studies involving censored data. The results of this study have important implications for healthcare providers and hospital management in assessing patient prognosis, planning long-term treatment strategies, and optimizing the allocation of medical resources.
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