LHS-PRCC sensitivity analysis is an efficient tool often employed in uncertainty analysis to explore the entire parameter space of a model. So, the more uncertain parameters there are, the more significant the variability introduced. Because uncertainty in parameter values chosen, introduces variability to the model’s prediction of resulting dynamics. Our goal is to analyze the uncertainty of parameters of our model. įor every mathematical model, input factors such as parameters are not always known with a sufficient degree of certainty because of natural variation, error in measurements or even simply a lack of current techniques to measure them.
A mathematical expression called Droop’s cell quota model governs the tumor growth, where cell quota represents the intracellular concentration of necessary nutrients provided through blood supply. Despite the advancement of last few decades, ovarian cancer still remains a major problem. Only 20 percent ovarian cancers are detected at early age. Ovarian cancers were previously believed to begin only in the ovaries, but recent evidence suggests that many ovarian cancers may actually start in the cells in the far (distal) end of the fallopian tubes. Almost 300,000 new patients have been diagnosed with ovarian cancer in 2018 ().
The American Cancer Society estimates 22,240 new cases of ovarian cancer and 14,070 deaths due to ovarian cancer only in United States in 2018. “Silent killer” is another name of ovarian cancer, causes more deaths than any other gynecological malignancies. Ovarian cancer is the fifth leading cause of death from non-skin cancers among women around the globe.
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