AUC_Bailers_method

data frame containing the sparse data

conc_data

list with names specifying the columns:<ul>
<li><code>NTIME</code> Nominal time since last dose; <code>"NTIME"</code> (default)</li>
<li><code>CONC</code> Concentration data; <code>"CONC"</code> (default)</li>
<li><code>ID</code> Subject ID; (<code>"ID"</code> (default)</li>
</ul>

dsmap

Calculates AUCs with with sparse data using Bailers Method
This is an implementation of Bailors method for calculating AUCs with
sparse sampling. It is taken from the following publication:
Nedelman, J. R., Gibiansky, E., &amp; Lau, D. T. (1995). Applying Bailer's
method for AUC confidence intervals to sparse sampling Pharmaceutical
Research, 12(1), 124-128.

internal

Complete work flow for the analysis of pharmacokinetic pharmacodynamic (PKPD), physiologically-based pharmacokinetic (PBPK) and systems pharmacology models including: creation of ordinary differential equation-based models, pooled parameter estimation, individual/population based simulations, rule-based simulations for clinical trial design and modeling assays, deployment with a customizable 'Shiny' app, and non-compartmental analysis. System-specific analysis templates can be generated and each element includes integrated reporting with 'PowerPoint'.

AUC_Bailers_method: AUC for sparse data

Description

Usage

Arguments

Value