pool.clmi: Calculate pooled estimates from 'clmi.out' objects using...

In umich-cphds/lodi: Limit of Detection Imputation for Single-Pollutant Models

Description

Calculate pooled estimates from clmi.out objects using Rubin's rules

Usage

pool.clmi(formula, clmi.out, type)

Arguments

formula	Formula to fit. Exposure variable should end in _transform_imputed.
clmi.out	An object generated by clmi.
type	Type of regression to pool. Valid types are logistic and linear.

Examples

# continue example from clmi
# fit model on imputed data and pool results
library(lodi)
data("toy_data")
clmi.out <- clmi(log(poll) ~ case_cntrl + smoking + gender, toy_data, lod, 1)
results <- pool.clmi(case_cntrl ~ poll_transform_imputed + smoking, clmi.out,
                       logistic)

results$output

umich-cphds/lodi documentation built on Feb. 23, 2020, 9:43 a.m.