mortDK

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

datasets

Functions for demographic and epidemiological analysis in
the Lexis diagram, i.e. register and cohort follow-up data, in
particular representation, manipulation and simulation of multistate
data - the Lexis suite of functions, which includes interfaces to
'mstate', 'etm' and 'cmprsk' packages.
Also contains functions for Age-Period-Cohort and Lee-Carter
modeling and a function for interval censored data and some useful
functions for tabulation and plotting, as well as a number of
epidemiological data sets.

Bendix Carstensen

A Package for Statistical Analysis in Epidemiology

Martyn Plummer

Esa Laara

Michael Hills

mortDK function

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

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

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

Description

Arguments

Format

See Also

Examples