GenerateOneCenterTable: Generate one data center and its table

In kaz-yos/distributed: Examine Privacy Preserving Data Analysis Methods in Simulated Distributed Data Network

Description

Generate one data center with information of n patients, and then generate a baseline characteristics table using the tableone package.

Usage

GenerateOneCenterTable(n, AssignCovariates, alphas, betas, survParams, ...)

Arguments

n	study site-specific sample size
AssignCovariates	covariate generation functions that takes n and p as the only arguments.
alphas	parameter vector for treatment model including c(alpha0, alphaX)
betas	parameter vector for outcome model shared among binary and survival outcome models including c(beta0, betaX, betaA, betaXA).
survParams	vector of two. The first element is the baseline hazard of events in the exponential event time outcome model (lambda). The second element is the baseline hazard of censoring in the exponential censoring time model (lambda_c).
...	parameters for tableone::CreateTableOne function

Value

ParamsTableOne object containing parameter values and TableOne object defined in tableone. The true one-year survival variable is added to the variables already in the generated dataset.

Author(s)

Kazuki Yoshida

kaz-yos/distributed documentation built on May 27, 2019, 4:50 a.m.