compute_bayley_milkType_association: Compute association between Bayley's Infant Scale of...

In rbarner/infantMilkConsumption: Create statistical tables and plots used in manuscript "Formula with Added Sugars Significantly Alters Gut Microbiota and Cognitive Development in Hispanic Infants"

Description

This function will output the results of multiple statistical model determining association between Bayley's Infant Scale of Development at 24-months of age and milk consumption type at 6-months of age.

Usage

compute_bayley_milkType_association()

Value

The output will be a data frame with the following columns:

allOutcomes	Name of Bayley's module
bfList	Mean (Standard Deviation) of breastfed group
tfList	Mean (Standard Deviation) of traditional formula fed group
sfList	Mean (Standard Deviation) of added-sugar formula fed group
difftfbfList	Mean difference (Lower confidence level, upper confidence level) between traditional formula group and breastfed group
pValTFBF_list	P-value of difference between traditional formula group and breastfed group
diffasfbfList	Mean difference (Lower confidence level, upper confidence level) between added-sugar formula group and breastfed group
pValTFBF_list	P-value of difference between added-sugar formula group and breastfed group

Examples

compute_bayley_milkType_association()

rbarner/infantMilkConsumption documentation built on Nov. 19, 2019, 12:36 a.m.