SMR {survexp.fr}

Standardized Mortality Ratio (SMR)

Description

Computes the SMR, its confidence interval and its associated p-value

Usage

SMR(
  futime,
  status,
  age,
  sex,
  entry_date,
  ratetable = survexp.fr::survexp.fr,
  alpha = 0.05
)

Arguments

futime

follow-up time of the subjects in days

status

0 if censored or 1 if dead at futime

age

age in days

sex

"male" or "female"

entry_date

entry date in the study

ratetable

a table of event rates, such as survexp.fr or survexp.us

alpha

determines the confidence level (1-alpha) of the confidence interval

Details

The SMR is estimated using two different methods.

The classic method is:

SMR = O/E

where O is the observed number of deaths and E is the expected number based on the patients' characteristics (sex, age and entry date in the study).

The SMR is also estimated performing a Poisson model where O is the dependant variable and E is an offset.

Value

A list containing the observed number of deaths, the expected number of deaths, the "classic" SMR (with its confidence interval and its p-value) and the SMR calculated by a Poisson model (with its confidence interval and its p-value)

Author(s)

Jean-Philippe Jais and Hugo Varet

References

N. Breslow and N. Day, Statistical methods in cancer research, Volume II - The design and analysis of cohort studies, World Health Organization, 1987

Examples

attach(data.example)
SMR(futime, status, age, sex, entry_date)