The Claim
The precision of parameter estimates in a breast cancer mixture model is highly sensitive to the underlying values of the indolent fraction (ψ) and progression rate (λ), such that both low and high values of either parameter reduce the likelihood of achieving adequately precise identification.
What the research says
Not yet evaluated
We are still looking at what the research says.
These are independent scores, not a percentage. Higher-grade studies count more, so a single strong opposing study can outweigh several weaker ones.
When scientists try to figure out how fast breast cancer grows and how many tumors are slow-moving, their calculations get less accurate if the numbers they use for slow-growing tumors or fast-growing tumors are too low or too high.
See the scientific wording
The precision of parameter estimates in a breast cancer mixture model is highly sensitive to the underlying values of the indolent fraction (ψ) and progression rate (λ), with low or high values of either parameter reducing the likelihood of adequately precise identification.
What the research says
1 studyThe study’s simulation results (Figure 3) show that API probability drops sharply when ψ > 50% or λ is <0.1 or >1.0 per year, indicating that extreme biological scenarios make estimation unreliable. This defines the boundaries of the model’s practical utility.
Score breakdown, mechanism chain, raw evidence, ideal studies needed & 1 supporting studies
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