odach_cc

A simulated data set for ODACH with case-cohort design demonstration

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 

odach_cc function

A data frame with 413 rows and 8 variables:<dl>
 <dt>site</dt>
<dd>site id, 187 'site1', 133 'site2', 93 'site3'. The full_cohort_size are 800, 600 and 400 respectively</dd>
 
 <dt>subcohort</dt>
<dd>1=subcohort, e.g. uniformly subsampled from full_cohort_size, 0=case</dd>
 
 <dt>time</dt>
<dd>survival time</dd> <dt>status</dt>
<dd>censoring status 0=censored, 1=dead</dd>
 
 <dt>X1</dt>
<dd>the first covariate, continuous</dd> <dt>X2</dt>
<dd>the second covariate, continuous</dd>
 
 <dt>Category</dt>
<dd>the third covariate, categorical</dd>
 
 <dt>Group</dt>
<dd>the fourth covariate, categorical</dd>
 </dl>

Format

ODACH_CC simulated data — odach_cc

A data frame with 413 rows and 8 variables:<dl>
 <dt>site</dt>
<dd>site id, 187 'site1', 133 'site2', 93 'site3'. The full_cohort_size are 800, 600 and 400 respectively</dd>
 
 <dt>subcohort</dt>
<dd>1=subcohort, e.g. uniformly subsampled from full_cohort_size, 0=case</dd>
 
 <dt>time</dt>
<dd>survival time</dd>

 <dt>status</dt>
<dd>censoring status 0=censored, 1=dead</dd>
 
 <dt>X1</dt>
<dd>the first covariate, continuous</dd>

 <dt>X2</dt>
<dd>the second covariate, continuous</dd>
 
 <dt>Category</dt>
<dd>the third covariate, categorical</dd>
 
 <dt>Group</dt>
<dd>the fourth covariate, categorical</dd>
 

</dl>

ODACH_CC simulated data

odach_cc: ODACH_CC simulated data

Description

Usage

Arguments

Format