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The model applied annual transition probabilities for progression from BeE to BeS and from BeS to CBD.
We developed an analytic Markov model of progression to CBD that assigns annual probabilities for progression through three states: from BeE to beryllium sensitization and then to CBD.
The table provides the mean and standard deviation of the fitted probabilities for progression and nonprogression instances from both logistic regression models.
In our model based solely on metabolic lab data, post-test probabilities for progression or non-progression were 81%73%3% − 86%) and 17% (13% − 23%), respectively, sufficiently accurate to serve as a useful clinical tool.
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Although the present report suffers from the inherent problem of a single case, we believe that our results can bring important information and practical approaches for CC prevention in elderly patients: When HPV acquisition is followed by viral persistence, there is a high probability for progression of precancerous lesions to invasive cancer.
Using the pathology panel diagnoses, the cumulative probabilities of progression for SH, CH, and AH were 10, 10, and 40%, respectively.
The probabilities of progression for the different subgroups derived from the optimal partition tree were then compared using Kaplan Meier analysis.
The probabilities of progression for those with no visible retinopathy at the current and previous examination are shown in Table 5 for type 1 diabetes and Table 6 for type 2 diabetes.
The 5-year probability of progression for low-risk individuals with NPDR was 5% (range 2 8) and for high-risk patients was 38% (14 55).
A decision analytic model and Markov modeling techniques previously designed [14] were used to simulate the progression of a hypothetical cohort of 1,000 Spanish patients who are initially not on dialysis, representing the relevant stages of the natural history of the disease over time, as well as estimates for probability of progression between the health states related to CKD.
A Markov model was used as it allows representing the relevant stages of the natural history of the disease over time, as well as estimates for probability of progression between the several health states related to the chronic infection with hepatitis C virus.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com