mortDK

The <code>mortDK</code> data frame has 1820 rows and 21 columns.

datasets

Functions for demographic and epidemiological
  analysis in the Lexis diagram, i.e. register and cohort follow-up
  data, including interval censored data. Also some useful functions
  for tabulation and plotting. Contains some epidemiological datasets.

Bendix Carstensen

A package for statistical analysis in epidemiology.

mortDK function

This data frame contains the following columns:
<tabular>rl</tabular>{
<code>age</code>: 	Age class, 0--89, 90:90+. <code>per</code>: 	Calendar period, 38: 1938--42, 43: 1943--47, ..., 88:1988-92. <code>sex</code>: 	Sex, 1: male, 2: female. <code>risk</code>: 	Number of person-years in the Danish population. <code>dt</code>: 	Number of deaths. <code>rt</code>: 	Overall mortality rate in cases per 1000 person-years, i.e.
<code>rt=1000*dt/risk</code> 	Cause-specific mortality rates in cases per 1000 person-years: <code>r1</code>: 	Infections <code>r2</code>: 	Cancer. <code>r3</code>: 	Tumors, benign, unspecific nature. <code>r4</code>: 	Endocrine, metabolic. <code>r5</code>: 	Blood. <code>r6</code>: 	Nervous system, psychiatric. <code>r7</code>: 	Cerebrovascular. <code>r8</code>: 	Cardiac. <code>r9</code>: 	Respiratory diseases, excl. cancer. <code>r10</code>: 	Liver, excl. cancer. <code>r11</code>: 	Digestive, other. <code>r12</code>: 	Genitourinary. <code>r13</code>: 	Ill-defined symptoms. <code>r14</code>: 	All other, natural. <code>r15</code>: 	Violent. }

format

Statistics Denmark, National board of health provided original data. 
Michael Andersson grouped the causes of death.

mortDK: Population mortality rates for Denmark in 1-year age-classes.

Description

Arguments

format

source

See Also

Examples