smdi_data_complete

Example dataset with complete cases.

datasets

An easy to use implementation of routine structural missing data diagnostics with functions to visualize the proportions of missing observations, investigate missing data patterns and conduct various empirical missing data diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 2024 Jan 31;7(1):ooae008. <doi:10.1093/jamiaopen/ooae008>.

Janick Weberpals

smdi

Perform Structural Missing Data Investigations

smdi_data_complete function

<div class="section" id="smdi-data-complete">
<h3><code>smdi_data_complete</code></h3>
A data frame with 2,500 rows and 14 columns:<dl>
<dt>exposure</dt>
<dd>Treatment assignment variable (binary). Indicates initiation of the exposure of interest (1) versus a comparator regimen (0)</dd><dt>age_num</dt>
<dd>Age at baseline in years</dd><dt>female_cat</dt>
<dd>Is gender female (0 = no, 1 = yes)</dd><dt>ecog_cat</dt>
<dd>ECOG performance score at baseline (0 versus 1)</dd><dt>smoking_cat</dt>
<dd>Smoking status at baseline (0 = non-smoker, 1 = smoker)</dd><dt>physical_cat</dt>
<dd>Physical activity at baseline (not active versus active)</dd><dt>egfr_cat</dt>
<dd>EGFR mutation status (0 = wild-type, 1 = alteration)</dd><dt>alk_cat</dt>
<dd>ALK transolcation mutation status (0 = wild-type, 1 = alteration)</dd><dt>pdl1_num</dt>
<dd>PD-L1 cell staining biomarker in %</dd><dt>histology_cat</dt>
<dd>Tumor histology (0 = nonsquamous, 1 = squamous)</dd><dt>ses_cat</dt>
<dd>Socio-economic status (multi-categorical: 1-low, 2-middle, 3-high)</dd><dt>copd_cat</dt>
<dd>COPD comorbidity at baseline</dd><dt>eventtime</dt>
<dd>time to censoring event</dd><dt>status</dt>
<dd>event indicator at time t; 0 = censored, 1 = deceased</dd>...</dl></div>

Format

smdi exemplary lung cancer dataset (with complete data) — smdi_data_complete

<div class='section' id='smdi-data-complete'>
<h3><code>smdi_data_complete</code></h3>


A data frame with 2,500 rows and 14 columns:<dl>
<dt>exposure</dt>
<dd>Treatment assignment variable (binary). Indicates initiation of the exposure of interest (1) versus a comparator regimen (0)</dd>

<dt>age_num</dt>
<dd>Age at baseline in years</dd>

<dt>female_cat</dt>
<dd>Is gender female (0 = no, 1 = yes)</dd>

<dt>ecog_cat</dt>
<dd>ECOG performance score at baseline (0 versus 1)</dd>

<dt>smoking_cat</dt>
<dd>Smoking status at baseline (0 = non-smoker, 1 = smoker)</dd>

<dt>physical_cat</dt>
<dd>Physical activity at baseline (not active versus active)</dd>

<dt>egfr_cat</dt>
<dd>EGFR mutation status (0 = wild-type, 1 = alteration)</dd>

<dt>alk_cat</dt>
<dd>ALK transolcation mutation status (0 = wild-type, 1 = alteration)</dd>

<dt>pdl1_num</dt>
<dd>PD-L1 cell staining biomarker in %</dd>

<dt>histology_cat</dt>
<dd>Tumor histology (0 = nonsquamous, 1 = squamous)</dd>

<dt>ses_cat</dt>
<dd>Socio-economic status (multi-categorical: 1-low, 2-middle, 3-high)</dd>

<dt>copd_cat</dt>
<dd>COPD comorbidity at baseline</dd>

<dt>eventtime</dt>
<dd>time to censoring event</dd>

<dt>status</dt>
<dd>event indicator at time t; 0 = censored, 1 = deceased</dd>

...

</dl>

</div>

smdi_data_complete: smdi exemplary lung cancer dataset (with complete data)

Description

Usage

Arguments

Format

`smdi_data_complete`