From the "Spurious Correlation: Definition, Examples & Detecting" article by Jim Frost, why spurious correlation is an issue when it comes to analyzing and interpreting public health data? How does it impacts public health? What is an example of spurious correlation? What is the variables being correlated, what the relationships being suggested is, why you think it is a spurious correlation, and what (if any) mitigating or confounding variables may be?
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From the "Spurious Correlation: Definition, Examples & Detecting" article by Jim Frost, why spurious correlation is an issue when it comes to analyzing and interpreting public health data? How does it impacts public health? What is an example of spurious correlation? What is the variables being correlated, what the relationships being suggested is, why you think it is a spurious correlation, and what (if any) mitigating or confounding variables may be?
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- An early study found that postal workers who worked in the office had higher rates of coronary heart disease than those who delivered mail on foot. The investigators concluded that physical activity is inversely related to risk of developing coronary heart disease. Sceptics disagreed, pointing out that the postal clerks were older than the postal carriers, and that age is a risk factor for coronary heart disease. This argument highlights the possible role of: -Chance? -Selection bias? -Recall bias? -Confounding?When a 95% confidence interval is calculated there is a 95% probability that the next measurement will fall within this range. there is a 95% probability that the true value is within this range. there no chance of having false positives within that range. 1) 1, 2, & 3 2) 2 only 3) 2 & 3 4) 1 only 5) 1 & 2When a correlational study demonstrates a relationship between two variables, it allows researchers to use knowledge about one variable to ______________ the second variable. Describe how the third-variable problem and the directionality problem limit the interpretation of results from correlational research designs and support that a correlational study may establish that two variables are related, it does not mean that there must be a direct relationship between the two variables.
- what is a good response to? In the study by Madewell et al. (2022), the researchers explore the public healthcare interventions that could have significantly prevented deaths among children under five years of age. Their findings underscore the importance of prioritizing investments in interventions that enhance the healthcare system, such as improved antenatal care and higher-quality pediatric care, as crucial strategies for reducing child mortality. There has been a substantial worldwide increase in life expectancy in recent years. Millions of preventable illnesses and deaths are reported annually, stemming from transmittable diseases, maternal and perinatal issues, malnutrition, and non-communicable diseases, as well as injuries. These factors contribute to a loss of life among those affected. Many of these conditions and health challenges can be prevented. The primary preventable causes of death are chronic non-communicable diseases, including cerebrovascular disease,…How do health systems and the U.S. Department of Health and Human Services, Centers for Disease Control and Prevention (CDC),and other health care entities securely receive, transmit, and communicate health care data for electronic health information exchange and reporting? How does the Centers for Disease Control and Prevention (CDC) know when there is a health risk to a population? How does the CDC notify local organizations and the public? Provide atleast one source to support your ideas.Please define and compare morbidity vs mortality? Provide 3 examples for each concept
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