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standardized mortality ratio

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "standardized mortality ratio" is correct and usable in written English.
It is typically used in epidemiology and public health to compare the mortality rates of a specific population to a standard population. Example: "The study revealed a standardized mortality ratio of 1.5, indicating that the population under review had a higher mortality rate than the general population."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

SMR, standardized mortality ratio.

SCORE and standardized mortality ratio (SMR) were calculated.

The all-causes standardized mortality ratio is 84 and that for all cancers is 80.

Mortality was calculated as case fatality rate (CFR) and standardized mortality ratio (SMR).

The overall age and sex standardized mortality ratio (SMR) was 5.98 (95% CI = 4.09-7.87).

We observed 222 cancer deaths compared with 116.4 expected (standardized mortality ratio, SMR=191).

Predicted and actual mortality rates, and standardized mortality ratio were calculated.

A significant decrease (70%) in SMR (standardized mortality ratio) for colorectal cancer was seen over time (P < 0.001).

Finally, we used the hospital standardized mortality ratio (HSMR) to account for the quality of inpatient services.

Uterine cancer among women was the only cause of death with a significantly increased standardized mortality ratio.

CI, confidence interval; PIM, Paediatric Index of Mortality [4]; PRISM, Paediatric RISk of Mortality [1,2]; SMR, standardized mortality ratio.

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Expert writing Tips

Best practice

When reporting a "standardized mortality ratio", always include the reference population used for standardization. This ensures clarity and allows for meaningful comparisons across studies.

Common error

Avoid assuming that a low "standardized mortality ratio" automatically indicates excellent performance. It's crucial to consider the specific context, potential biases, and limitations of the data when interpreting SMR values.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

79%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "standardized mortality ratio" functions as a noun phrase used to describe a statistical measure. It quantifies the mortality experience of a specific population relative to a standard population, adjusting for factors like age and sex. Ludwig confirms that this phrase is correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

98%

News & Media

1%

Formal & Business

1%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "standardized mortality ratio" (SMR) is a common and grammatically correct term used in epidemiology and public health to compare mortality rates between populations, as verified by Ludwig. It is most frequently found in scientific and academic contexts. The SMR is calculated by dividing the observed deaths by the expected deaths and is often expressed as a percentage. It is crucial to consider the reference population when interpreting SMR values. Common alternative phrases include "age-adjusted mortality ratio" and "risk-adjusted mortality rate". When using the "standardized mortality ratio", specify the reference population and avoid misinterpreting low SMR values without considering context and potential biases.

FAQs

How is the "standardized mortality ratio" calculated?

The "standardized mortality ratio" (SMR) is calculated by dividing the observed number of deaths in a study population by the expected number of deaths, based on the mortality rates of a standard population. The formula is: SMR = (Observed deaths / Expected deaths) * 100. An SMR of 100 indicates that the observed mortality is the same as the standard population. An SMR greater than 100 suggests higher mortality, while an SMR less than 100 suggests lower mortality.

What does a "standardized mortality ratio" of 1.5 indicate?

A "standardized mortality ratio" of 1.5 (or 150%) indicates that the study population has a mortality rate 50% higher than the standard population to which it is being compared. This suggests an elevated risk of death in the study population relative to the reference group.

What are some alternatives to "standardized mortality ratio"?

Depending on the context, you can use alternatives such as "age-adjusted mortality ratio", "risk-adjusted mortality rate", or "expected-to-observed mortality ratio". The acronym "SMR" can also be used after the full phrase has been introduced.

What is the difference between "standardized mortality ratio" and standardized morbidity ratio?

The "standardized mortality ratio" (SMR) focuses on death rates, comparing observed deaths to expected deaths. In contrast, "standardized morbidity ratio" (also abbreviated SMR) focuses on the incidence of disease, comparing observed cases of a disease to expected cases. Both are used to compare a study population to a standard population, but they measure different outcomes.

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Source & Trust

79%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

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