Your English writing platform
Discover LudwigExact(37)
This study evaluates cancer risk in elderly ESRD patients living in Surveillance, Epidemiology, and End Results (SEER) cancer registry areas.
Population data was collected from the Statistical and/or Public Security Bureaus of the aforementioned cancer registry areas.
Patients in most other registry areas were less likely to have advanced chemotherapy treatment as compared to the Connecticut area.
Data from the nine cancer registry areas of the Surveillance, Epidemiology and End Results Program, 1977 to 2006.
Subsequent-line treatment was only statistically significant for the Kentucky region and for the combined other registry areas.
We utilized data from nine cancer registry areas of the SEER Program (SEER-9) that represent approximately 10% of the population in the United States.
Similar(23)
In this way, information on patients who had moved outside the registry area was also obtained.
OPCS should publish DCO proportions by registry area and cancer site.
For these analyses, we used the Connecticut registry area as the reference group.
We use the incidence model to predict the number of new incident cases in each registry area, based on all available registry data.
During preliminary investigation of time clusters, the spatial dimensions within the registry area are further investigated, and local registries can run the cluster detection software at subregional level.
Write better and faster with AI suggestions while staying true to your unique style.
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