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We found slopes and adjusted-Rs similar to those found when using adjusted RRs, showing that it would be valid to plot log10 age-specific incidence rate) versus log10 age-specific adjustment, whincidenceow in Figurate.
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We found the assumption of proportional hazards to be valid by graphically plotting the log-log survival curves.
The assumption of proportional hazards was checked by inspection of plots and found to be valid.
It should be noted that the linear size versus dose trend in the log log plot may not continue to be valid for larger beam intensity ranges.
When considering the Kaiser-Guttman rule and the scree plot, our model of 5 factors seems to be valid.
If a PH model is valid, a plot of the logarithm of the cumulative hazard function in each group against the logarithm of time should give rise to lines that are parallel.
The proportional hazards assumption was assessed graphically by plotting log(−log(survival function)) against time for all exposure variables and found to be valid.
This inference would appear to be valid.
Moreover, this argument appears to be valid.
These seem to be valid concerns.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com