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*Hazard rate based on r = −ln(1−p) / t1 where t1 = length of interval (for example, 6 months between 6th and 12th months of life) and p = probability of infection n by end of interval given being at risk for infection n at beginning of interval, transition probability calculated from hazard rate as p = 1 – e-rt2 where t2 = cycle length (one month for present model).
There is a possibility that unions could call for work stoppages, and "a stoppage of any length — one month, one week — would be incredibly costly for developers," he said.
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The time horizon of the model was five years with a cycle length of one month.
We used the time interval with the length of one month and there were 46 months in the data set.
Of all Markov-models Bessette et al. are using the shortest cycle length with one month (time-horizon: five years).
We calculated the transition probabilities for a cycle length of one month assuming a constant incidence rate for one cycle (see these incidences in Additional file 1).
The model was structured as a static, aggregate-level, state-transition model with a cycle length of one month (TreeAge Pro 2008).
The foundation of the model is a "natural history" Markov Monte Carlo simulation with a discrete cycle length of one month (TreeAge Pro 2007, Release 1.0.2, 2009).
Assuming an average menstrual cycle length of one month, we estimated the probability of clinical pregnancy in a cycle among women not pregnant in the preceding cycle, conditionally that they did become pregnant.
Given the mother's consent, children were registered for the study and scheduled for measurement of weight and length every month from one month after birth to the age of 12 months.
Treatment efficacy is based on reported both as cure after one month, and as length of time to relapse illustrated with Kaplan-Meier survival analysis, i.e. as number of BV free days between cured and relapse, and as menstrual cycles.
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CEO of Professional Science Editing for Scientists @ prosciediting.com