Parametric and Non-Parametric Survival Analysis of Patients with Acute Myeloid Leukemia (AML)

Background: Acute Myeloid leukemia (AML) is the most prominent acute in adults. In United States, we experience over 20,000 cases per year. Over past decade, improvements diagnosis of subtypes AML and advances therapeutic approaches have improved outlook for patients with AML. However, despite these advancements, survival rate among who are less than 65 years age only 40 percent. Purpose: The purpose paper to study if there exists any significant difference probabilities male female patients. Also, want investigate parametric probability distribution that best fits patient compare non-parametric Kaplan-Meier (KM) method. Methods: We used both statistical methods perform analysis assess 2015 diagnosed Results: found evidence a statistically between mean time performed Generalized Extreme Value (GEV) fitting data then estimated compared them frequently Conclusion: comparison estimates two revealed better estimate by method Kaplan-Meier. also median individually descriptive, parametric, analysis. more robust efficient because it based on well-defined probabilistic distribution, hence preferred estimate. This offers significance further enhancement treat Leukemia.