Study of coverage of confidence intervals for the standardized mortality ratio in studies with missing death certificates

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652052%3A_____%2F17%3AN0000044" target="_blank" >RIV/86652052:_____/17:N0000044 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1002/sim.7432" target="_blank" >http://dx.doi.org/10.1002/sim.7432</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/sim.7432" target="_blank" >10.1002/sim.7432</a>

Result language

angličtina

Original language name

Study of coverage of confidence intervals for the standardized mortality ratio in studies with missing death certificates

Original language description

The paper assesses the coverage probability of commonly used confidence intervals for the standardized mortality ratio (SMR) when death certificates are missing. It also proposes alternative confidence interval approaches with coverage probabilities close to .95. In epidemiology, the SMR is an important measure of risk of disease mortality (or incidence) to compare a specific group to a reference population. The appropriate confidence interval for the SMR is crucial, especially when the SMR is close to 1.0 and the statistical significance of the risk needs to be determined. There are several ways to calculate confidence intervals, depending on a study characteristics (ie, studies with small number of deaths, studies with small counts, aggregate SMRs based on several countries or time periods, and studies with missing death certificates). This paper summarizes the most commonly used confidence intervals and newly applies several existing approaches not previously used for SMR confidence intervals. The coverage probability and length of the different confidence intervals are assessed using a simulation study and different scenarios. The performance of the confidence intervals for the lung cancer SMR and all other cancer SMR is also assessed using the dataset of French and Czech uranium miners. Finally, the most appropriate confidence intervals to use under different study scenarios are recommended.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10103 - Statistics and probability

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Statistics in Medicine

ISSN

0277-6715

e-ISSN

—

Volume of the periodical

36

Issue of the periodical within the volume

27

Country of publishing house

US - UNITED STATES

Number of pages

20

Pages from-to

4281-4300

UT code for WoS article

000414564800003

EID of the result in the Scopus database

—