long_covid

A simulated long-covid data set for Distributed causal inference with covariates shift (DisC2o). This only contains 5 covariates and more noisy covariates can be added when running demo example.

datasets

A collection of privacy-preserving distributed algorithms (PDAs) for conducting federated statistical learning across multiple data sites. The PDA framework includes models for various tasks such as regression, trial emulation, causal inference, design-specific analysis, and clustering. The PDA algorithms run on a lead site and only require summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online data transfer system (<https://pda-ota.pdamethods.org/>) for safe and convenient collaboration. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.

Chongliang Luo

Privacy-Preserving Distributed Algorithms

Rui Duan

Mackenzie Edmondson

Jiayi Tong

Xiaokang Liu

Kenneth Locke

Jie Hu

Bingyu Zhang

Yicheng Shen

Yudong Wang

Yiwen Lu

Lu Li

Yong Chen

Penn Computing Inference Learning (PennCIL) lab 

long_covid function

A data frame with 900 rows and 53 variables:<dl>
 <dt>PASC_features</dt>
<dd>number of Post Acute Sequelae of COVID (PASC, or long covid) features</dd>
 
 <dt>covid_vaccination</dt>
<dd>treatment of covid vaccination, 1=vaccinated</dd> <dt>site</dt>
<dd>site id, 300 participants each for 'site1', 'site2', and 'site3'</dd>
 
 <dt>X1</dt>
<dd>a binary covariate</dd> <dt>X2</dt>
<dd>a binary covariate</dd> <dt>X3</dt>
<dd>a continuous covariate</dd>
 
 <dt>X4</dt>
<dd>a continuous covariate</dd>
 
 <dt>X5</dt>
<dd>a continuous covariate</dd>
 </dl>

Format

DisC2o simulated data — long_covid

A data frame with 900 rows and 53 variables:<dl>
 <dt>PASC_features</dt>
<dd>number of Post Acute Sequelae of COVID (PASC, or long covid) features</dd>
 
 <dt>covid_vaccination</dt>
<dd>treatment of covid vaccination, 1=vaccinated</dd>

 <dt>site</dt>
<dd>site id, 300 participants each for 'site1', 'site2', and 'site3'</dd>
 
 <dt>X1</dt>
<dd>a binary covariate</dd>

 <dt>X2</dt>
<dd>a binary covariate</dd>

 <dt>X3</dt>
<dd>a continuous covariate</dd>
 
 <dt>X4</dt>
<dd>a continuous covariate</dd>
 
 <dt>X5</dt>
<dd>a continuous covariate</dd>
 

</dl>

DisC2o simulated data

long_covid: DisC2o simulated data

Description

Usage

Arguments

Format