Welcome in the appendix of my doctoral dissertation about avoidable Mortality as healthcare indicator for the USA:
The Appendix shows examples of how to use general mortality life tables to create normative life tables. They contain general mortality life tables for the USA and the 50 states of America incl. State of Columbia from 1959 to 2016 and examples of normative life tables from 1960 to 2016.
General mortality life tables for the USA are accessible under https://usa.mortality.org. I have used this data to generate normative life tables. Due to the licensing agreements by the original owner of the data (the US Census Bureau and National Center for Health Statistics) it is not possible to re-publish the data in any form without the explicit permission of the data owner. That is why it is not possible to make the appendix publicly accessible. If you are interested in accessing the Appendix, please contact the library of the university of Marburg.
In the appendix there are three types of files:
Files that begin with Appendix_001, Appendix_002 and Appendix_003.
1- Two files begin with Appendix_001. These are general mortality life tables for the USA and for every state in the USA incl. District of Columbia. One file for males and the other for females. They are divided in 1-year groups from age 0 to age 110+. The data from these tables is accessible on https://usa.mortality.org.
2- There are 14 Files that begin with Appendix_002. These are normative life tables for the USA based on general mortality in the USA. The tables are for 1 year age groups (from 0 to 110 years) and divided in males and females. They have been generated for the years 1960, 1970, 1980, 1990, 2000, 2010 and 2016.
3- There is 1 File that begins with Appendix_003. It is a normative life table for the USA in the year 2016 without further differentiation in males and females. This table is important when calculating normative life tables for chronic conditions, if death from such condition occurs in late years of life (as in COPD, which was the condition studied in this dissertation). Then we could assume that mortality in early years of age hasnÕt been affected by the health condition and therefore it is normative and can be implemented in the normative life table for the health condition in question.
Here is the description of the symbols in the general mortality life tables and normative life tables:
- m(x): This is the central rate of mortality, or the average number of deaths each year at age x.
- a(x): The number of subjects alive at the beginning of each age group.
- L(x_A): This is the number of person years lived between age x and (x+1).
- SR: 1-year survival rate.
- l(x): This is the number of people who survive to exactly age x from 100,000 live births. These people are assumed to be subject to the mortality rates experienced throughout their lives.
- q(x): Age-specific mortality/mortality rate between age x and x+1, or the probability that a person aged exactly x will die before reaching age (x +1).
- p(x): This is the probability of a person who is currently aged x surviving to the next age, x+1.
- d(x): This is the number of people dying between exact age x and (x +1).
- T(x): This is the number of years lived from age x to the oldest age.
- e(x): Period of life expectancy.
The data in the appendix is to be used for scientific purposes only. It is not to duplicated or re-published.
If you have any questions donÕt hesitate to contact me at: yesser.falk@aol.com
Good Luck!