milk_ov

<p>The dataset reports the summarized dose-response results from nine studies on the relation between milk consumption
and ovarian cancer.</p>

data

Estimates dose-response relations from summarized dose-response
data and to combines them according to principles of (multivariate)
random-effects models.

Alessio Crippa

dosresmeta

Multivariate Dose-Response Meta-Analysis

milk_ov function

<p>A data frame with 37 observations on the following 12 variables:</p><table class="table">
<tr><td><code>id</code></td><td>id of the studies included in the analysis.</td></tr>
<tr><td><code>author</code></td><td>names of the first author.</td></tr>
<tr><td><code>year</code></td><td>year of publication.</td></tr>
<tr><td><code>type</code></td><td>code for study design.</td></tr>
<tr><td><code>dose</code></td><td>assigned dose levels.</td></tr>
<tr><td><code>case</code></td><td>number of cases for each exposure level.</td></tr>
<tr><td><code>n</code></td><td>total number of subjects (type = "ir" or "cc") or person-years (type = "ir") for each exposure level.</td></tr>
<tr><td><code>rr</code></td><td>adjusted risk estimates.</td></tr>
<tr><td><code>lb</code></td><td>lower bound for the confidence limits of the adjusted risk estimates.</td></tr>
<tr><td><code>ub</code></td><td>upper bound for the confidence limits of the adjusted risk estimates.</td></tr>
<tr><td><code>logrr</code></td><td>natural logarithm of the adjusted risk estimates.</td></tr>
<tr><td><code>se</code></td><td>standard error for the logarithm of the adjusted risk estimates.</td></tr>
</table>


Format

<p>Alessio Crippa, &lt;<a href="/link/alessio.crippa%40ki.se?package=dosresmeta&version=2.0.1" data-mini-rdoc="dosresmeta::alessio.crippa@ki.se">alessio.crippa@ki.se</a>&gt;</p>

Author

Nine studies on the relation between milk consumption and ovarian cancer — milk_ov

<p>A data frame with 37 observations on the following 12 variables:</p><table class='table'>
<tr><td><code>id</code></td><td>id of the studies included in the analysis.</td></tr>
<tr><td><code>author</code></td><td>names of the first author.</td></tr>
<tr><td><code>year</code></td><td>year of publication.</td></tr>
<tr><td><code>type</code></td><td>code for study design.</td></tr>
<tr><td><code>dose</code></td><td>assigned dose levels.</td></tr>
<tr><td><code>case</code></td><td>number of cases for each exposure level.</td></tr>
<tr><td><code>n</code></td><td>total number of subjects (type = "ir" or "cc") or person-years (type = "ir") for each exposure level.</td></tr>
<tr><td><code>rr</code></td><td>adjusted risk estimates.</td></tr>
<tr><td><code>lb</code></td><td>lower bound for the confidence limits of the adjusted risk estimates.</td></tr>
<tr><td><code>ub</code></td><td>upper bound for the confidence limits of the adjusted risk estimates.</td></tr>
<tr><td><code>logrr</code></td><td>natural logarithm of the adjusted risk estimates.</td></tr>
<tr><td><code>se</code></td><td>standard error for the logarithm of the adjusted risk estimates.</td></tr>
</table>


<p>Alessio Crippa, &lt;<a href='mailto:alessio.crippa@ki.se'>alessio.crippa@ki.se</a>&gt;</p>

milk_ov: Nine studies on the relation between milk consumption and ovarian cancer

Description

Arguments

Format

Author

References

`id`	id of the studies included in the analysis.
`author`	names of the first author.
`year`	year of publication.
`type`	code for study design.
`dose`	assigned dose levels.
`case`	number of cases for each exposure level.
`n`	total number of subjects (type = "ir" or "cc") or person-years (type = "ir") for each exposure level.
`rr`	adjusted risk estimates.
`lb`	lower bound for the confidence limits of the adjusted risk estimates.
`ub`	upper bound for the confidence limits of the adjusted risk estimates.
`logrr`	natural logarithm of the adjusted risk estimates.
`se`	standard error for the logarithm of the adjusted risk estimates.