dat.kang

<code>dat.kang</code> provides an example dataset for hierarchical network meta-analysis 
of diagnostic test accuracy under the missing not at random (MNAR) assumption. 
The dataset is extracted from kang2013statisticalNMADTA and contains study-level 
results from multiple diagnostic tests for colorectal cancer detection. 
Each record corresponds to a study arm with test outcomes and missingness indicators.

datasets

Provides statistical methods for network meta-analysis
of 1–5 diagnostic tests to simultaneously compare multiple tests within a
missing data framework, including:
- Bayesian hierarchical model for network meta-analysis of multiple
diagnostic tests
(Ma, Lian, Chu, Ibrahim, and Chen (2018) <doi:10.1093/biostatistics/kxx025>)
- Bayesian Hierarchical Summary Receiver Operating Characteristic Model
for Network Meta-Analysis of Diagnostic Tests
(Lian, Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239>).

Xing Xing

NMADTA

Network Meta-Analysis of Multiple Diagnostic Tests

Boyang Lu

Lifeng Lin

Qinshu Lian

James S. Hodges

Yong Chen

Haitao Chu

dat.kang function

A data frame with 48 observations and 8 variables:<dl>
 <dt>sid</dt>
<dd>Study identifier (integer)</dd> <dt>delta0</dt>
<dd>Missing indicator for test 0 (1 = observed, 0 = missing)</dd> <dt>delta1</dt>
<dd>Missing indicator for test 1 (1 = observed, 0 = missing)</dd> <dt>delta2</dt>
<dd>Missing indicator for test 2 (1 = observed, 0 = missing)</dd> <dt>T0</dt>
<dd>Test 0 result (1 = positive, 0 = negative, 999 = not applicable)</dd> <dt>T1</dt>
<dd>Test 1 result (1 = positive, 0 = negative, 999 = not applicable)</dd> <dt>T2</dt>
<dd>Test 2 result (1 = positive, 0 = negative, 999 = not applicable)</dd> <dt>n</dt>
<dd>Sample size for the corresponding cell</dd>
</dl>

Format

Study-level results on the multiple diagnostic tests for colorectal cancer detection — dat.kang

A data frame with 48 observations and 8 variables:<dl>
 <dt>sid</dt>
<dd>Study identifier (integer)</dd>

 <dt>delta0</dt>
<dd>Missing indicator for test 0 (1 = observed, 0 = missing)</dd>

 <dt>delta1</dt>
<dd>Missing indicator for test 1 (1 = observed, 0 = missing)</dd>

 <dt>delta2</dt>
<dd>Missing indicator for test 2 (1 = observed, 0 = missing)</dd>

 <dt>T0</dt>
<dd>Test 0 result (1 = positive, 0 = negative, 999 = not applicable)</dd>

 <dt>T1</dt>
<dd>Test 1 result (1 = positive, 0 = negative, 999 = not applicable)</dd>

 <dt>T2</dt>
<dd>Test 2 result (1 = positive, 0 = negative, 999 = not applicable)</dd>

 <dt>n</dt>
<dd>Sample size for the corresponding cell</dd>


</dl>

dat.kang: Study-level results on the multiple diagnostic tests for colorectal cancer detection

Description

Usage

Arguments

Format

Examples