c212.interim.MLE: Poisson Maximum Likelihood Estimator

In c212: Methods for Detecting Safety Signals in Clinical Trials Using Body-Systems (System Organ Classes)

Poisson Maximum Likelihood Estimator

Description

Calculate the Poisson Maximum Likelihood Estimator for interim analysis data.

Usage

	c212.interim.MLE(trial.data)

Arguments

trial.data

A file or data frame containing the trial data. It must contain must contain the columns I_index (interval index), B (body-system), AE (adverse event), Group (1 - control, 2 treatment), Count (total number of events), Total (total number of participants in the trial arm).

Value

The maximum likelihood estimators and summary statistics.

Author(s)

R. Carragher

Examples

data(c212.trial.interval.data1)
data <- c212.trial.interval.data1[ c212.trial.interval.data1$Interval == "0.0-180.0",]
raw = c212.interim.MLE(data)
## Not run: 
data(c212.trial.interval.data1)
raw = c212.interim.MLE(c212.trial.interval.data1)


## End(Not run)

c212 documentation built on April 3, 2025, 10:29 p.m.