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We also produce five heuristic algorithms to estimate survival probabilities these algorithms work in acceptable time frames.
In this population-based study, we aimed to estimate survival inequalities globally for several subtypes of childhood leukaemia.
Several prognostic scores have been developed to estimate survival of breast cancer (BC) patients with brain metastases (BM).
Here we manipulated the frequencies of males with different colour patterns in three natural populations to estimate survival rates, and found that rare phenotypes had a highly significant survival advantage compared to common phenotypes.
In 1958 Edward L Kaplan *51 and Paul Meier *51 (both former students of John Tukey) published an innovative statistical method in the Journal of the American Statistical Association to estimate survival curves when including incomplete observations.
METHODS: The Kaplan-Meier method was used to estimate survival and recurrence-free time.
The Kaplan Meier method was used to estimate survival curves, and log-rank test was used to test for differences between survival curves.
The Kaplan-Meier method was used to estimate survival; survival differences were analyzed with the log-rank test.
We then developed and trained a machine-learned BBN model to estimate survival in months using candidate features based on historical data.
Cox regression was used to estimate survival.
Kaplan-Meier analysis is used to estimate survival probabilities.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com