Description Usage Format Details Author(s) Source

Counts and rates of age-adjusted (2000 U.S. standard) lung cancer mortality data among white women, aggregated for 1995-9 and 2000-4.

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A data frame with 51 observations, 1 for each state + DC, on the following 12 variables.

- Rate.00
a numeric vector of age-adjusted rates by state during 2000-4 for white females

- Count.00
a numeric vector of the number of white female lung cancer deaths during 2000-4

- Lower.00
a numeric vector of the 95% confidence interval lower bound for white female 2000-4 rates

- Upper.00
a numeric vector of the 95% confidence interval upper bound for white female 2000-4 rates

- Pop.00
a numeric vector of the white female population during 2000

- StdErr.00
a numeric vector of the standard error of the white female 2000-4 rates

- Rate.95
a numeric vector of age-adjusted rates by state during 1995-9 for white females

- Count.95
a numeric vector of the number of white female lung cancer deaths during 1995-9

- Lower.95
a numeric vector of the 95% confidence interval lower bound for white female 1995-9 rates

- Upper.95
a numeric vector of the 95% confidence interval upper bound for white female 1995-9 rates

- Pop.95
a numeric vector of the white female population estimates for 1995

- StdErr.95
a numeric vector of the standard error of the white female 1995-9 rates

The rates on this file are directly age adjusted to the US 2000
standard population and are expressed as the number of deaths per 100,000 person-years.
The row names are the 2 character postal codes for the states.
The data represents the rates for two periods of time: 2000 to 2004 and 1995 to 1999.
This dataset is used in the `micromapSEER` examples using the border group of "USStatesDF".

Linda W. Pickle and Jim Pearson of StatNet Consulting, LLC, Gaithersburg, MD

Surveillance Research Program, National Cancer Institute SEER*Stat software (http://www.seer.cancer.gov/seerstat), November 2007 data submission, released April 2008. Data originally provided to NCI by the National Center for Health Statistics.

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