qwickr.pkfe: Generate Fixed Effects Tables for PK Parameters

In qwickmalik/qwickr: A Quick and Easy Way to Analyze and Report Phase I-IV Clinical Trial Data including Pharmacokinetics

Generate Fixed Effects Tables for PK Parameters

Description

Run descriptive summaries and generate fixed effects tables

Usage

qwickr.pkfe(x, outcomevar, groupvar,  design="", assume.normal.dist=F)

Arguments

x	Data frame
outcomevar	Name of outcome variable (string)
groupvar	Name of the group variable (string)
design	specify the study design. Options: c("parallel", "crossover"). Default: "crossover"
assume.normal.dist	assume that the data is normally distributed? (T/F) Default: 'FALSE', the Shapiro Wilk test will be used to assess normality of the data. Data will be ranked if not normally distributed.

Details

Uses linear mixed effects model to compare PK parameters between groups and generate fixed effects tables as per [Health Canada](https://www.canada.ca/content/dam/hc-sc/documents/services/drugs-health-products/drug-products/applications-submissions/guidance-documents/bioavailability-bioequivalence/conduct-analysis-comparative.pdf) format.

Value

Returns a data frame of counts and percentages for each study arm and an associated p-value for each study time point in a repeated measures design.

Author(s)

Abdul Malik Sulley <[e-mail]> May 7, 2020

See Also

stats::fisher.test(), q.write.to.word, utils::write.csv

Examples

x <- qwickr.pkparams(pkdata)
pkfe.output <- qwickr.pkfe(x[[1]], outcomevar = "AUC", groupvar = "GROUPING")

qwickmalik/qwickr documentation built on March 30, 2022, 2:59 p.m.