lbpmicox

A data frame with 10 multiply imputed datasets of 265 observations each on
17 variables related to low back pain.

datasets

Statistical Analyses and Pooling after Multiple Imputation. A large variety
of repeated statistical analysis can be performed and finally pooled. Statistical analysis
that are available are, among others, Levene's test, Odds and Risk Ratios, One sample
proportions, difference between proportions and linear and logistic regression models.
Functions can also be used in combination with the Pipe operator.
More and more statistical analyses and pooling functions will be added over time.
Heymans (2007) <doi:10.1186/1471-2288-7-33>.
Eekhout (2017) <doi:10.1186/s12874-017-0404-7>.
Wiel (2009) <doi:10.1093/biostatistics/kxp011>.
Marshall (2009) <doi:10.1186/1471-2288-9-57>.
Sidi (2021) <doi:10.1080/00031305.2021.1898468>.
Lott (2018) <doi:10.1080/00031305.2018.1473796>.
Grund (2021) <doi:10.31234/osf.io/d459g>.

Martijn Heymans

miceafter

Data and Statistical Analyses after Multiple Imputation

Jaap Brand

lbpmicox function

A data frame with 2650 observations on the following 18 variables.<dl>
<dt>Impnr</dt>
<dd>a numeric vector</dd><dt>patnr</dt>
<dd>a numeric vector</dd><dt>Status</dt>
<dd>dichotomous event</dd><dt>Time</dt>
<dd>continuous follow up time variable</dd><dt>Duration</dt>
<dd>continuous</dd><dt>Previous</dt>
<dd>dichotomous</dd><dt>Radiation</dt>
<dd>dichotomous</dd><dt>Onset</dt>
<dd>dichotomous</dd><dt>Age</dt>
<dd>continuous</dd><dt>Tampascale</dt>
<dd>continuous</dd><dt>Pain</dt>
<dd>continuous</dd><dt>Function</dt>
<dd>continuous</dd><dt>Satisfaction</dt>
<dd>categorical</dd><dt>JobControl</dt>
<dd>continuous</dd><dt>JobDemand</dt>
<dd>continuous</dd><dt>Social</dt>
<dd>continuous</dd><dt>Expectation</dt>
<dd>a numeric vector</dd><dt>Expect_cat</dt>
<dd>categorical</dd>
</dl>

Format

Survival data of 265 Low Back Pain Patients — lbpmicox

A data frame with 2650 observations on the following 18 variables.<dl>
<dt>Impnr</dt>
<dd>a numeric vector</dd>

<dt>patnr</dt>
<dd>a numeric vector</dd>

<dt>Status</dt>
<dd>dichotomous event</dd>

<dt>Time</dt>
<dd>continuous follow up time variable</dd>

<dt>Duration</dt>
<dd>continuous</dd>

<dt>Previous</dt>
<dd>dichotomous</dd>

<dt>Radiation</dt>
<dd>dichotomous</dd>

<dt>Onset</dt>
<dd>dichotomous</dd>

<dt>Age</dt>
<dd>continuous</dd>

<dt>Tampascale</dt>
<dd>continuous</dd>

<dt>Pain</dt>
<dd>continuous</dd>

<dt>Function</dt>
<dd>continuous</dd>

<dt>Satisfaction</dt>
<dd>categorical</dd>

<dt>JobControl</dt>
<dd>continuous</dd>

<dt>JobDemand</dt>
<dd>continuous</dd>

<dt>Social</dt>
<dd>continuous</dd>

<dt>Expectation</dt>
<dd>a numeric vector</dd>

<dt>Expect_cat</dt>
<dd>categorical</dd>


</dl>

lbpmicox: Survival data of 265 Low Back Pain Patients

Description

Usage

Arguments

Format

Examples