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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Statistics in Medicine

ISSN

0277-6715

e-ISSN

—

Svazek periodika

36

Číslo periodika v rámci svazku

27

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

4281-4300

Kód UT WoS článku

000414564800003

EID výsledku v databázi Scopus

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