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- What characteristics are associated with heart rate, beats/minute? (Heart Rate= 1 missing) Use simple and multivariable linear regression analysis to complete the following table relating the characteristics listed to Heart rate, beats/minute as a continuous variable. Before conducting the analysis, be sure that all participants have complete data on all analysis variables. If participants are excluded due to missing data, the numbers excluded should be reported. Then, describe how each characteristic is related to Heart rate, beats/minute. Are crude and multivariable effects similar? What might explain or account for any differences? Outcome Variable: Heart rate, beats/minute Characteristic Regression Coefficient Crude Models p-value Regression Coefficient Multivariable Model p-value Age, years Male sex Glucose Total serum cholesterol, mg/dL Current smoker Diabetes1. 40 OT students were randomized into two groups and 40 nursing students were randomized into two groups. One of the OT groups and one of the nursing groups were given the opportunity to participate in a research project and present their data at an IPE conference. The other group of OT students and nursing students completed their normal course work. At the end of the semester the faculty measured all of their students’ knowledge about research design and confidence presenting information to others. (a) Independent Variable(s): (b) Dependent Variables(s): (c) Research Design: 2. 60 participants with a diagnosis of bulbar type ALS were divided into two groups to work with SLP either 3 times a week for 1 hour or 6 times a week for 2 hours. At the end of the study, all participants completed an assessment of speech quality and swallowing ability. (a) Independent Variable(s): (b) Dependent Variables(s): (c) Research Design:Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 i Y; (0) 3000 2500 3000 1500 4000 5000 Y; (1) 4000 3000 2500 4000 5500 6000 D₁ 1 0 1 0 1 0 (a) Explain the "fundamental problem of causal inference." Using all of the potential outcomes in the table, what is the average treatment effect?
- Step 1: Explore the following Safety Campaign: https://www.dumbwaystodie.com Step 2: Choose either the Elaboration Likelihood Model or the Extended Parallel Processing Model to analyze this health campaign. Step 2: critically analyze the campaign by answering the following questions: a.) What type of campaign or intervention was it? Why do you believe it is this type? (Support your choice) b.) Walk through the steps of the model you chose and connect the campaign with the model steps and assumptions. Act as though you are the target audience. You must demonstrate in this response that you fully understand each step of the model (even if it didn't apply to you directly). You are demonstrating that you are able to take a PSA and analyze it using the model. c.) What do you think made this campaign effective? d.) How do you think this campaign could be improved?Assume that researchers will conduct a community based survey on hypertension. How many participants should be included in the study in order to achieve a 95% confidence level if an error of 5% would be allowable and the estimated proportion of people with hypertension is 20%?The following statements about the chi square test are correct. (Read each statement carefully. Select all of the statements below that are true (that you agree with). Leave any statements that are false (that you do not agree with) un- selected.) The null hypothesis infers that chance alone cannot account for the differences between observed and expected data. The null hypothesis infers that observed values are close enough to expected values. The lower the overall chi square value, the more likely the null hypothesis will be accepted. The higher the probability range associated with the overall chi square value, the more likely the null hypothesis will be rejected.
- Salt Concentration (%) Transmittance (%) 0 77.23 3 79.23 6 80.39 9 82.71 12 85.66 15 87.55 What is the dependent variable and the independent variable? what patterns do you observe based on the information in the table?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 & 2A researcher reads a news report about a high prevalence of diabetes among children residing in under resourced neighborhoods. The researcher wants to conduct a study to understand risk factors for diabetes in this population. They design a randomized controlled trial where children will be assigned to one group in which they are given 8 glasses of sugar sweetened beverages (SSB) per day (treatment group) and one group in which they are given 8 glasses of water per day (control group). The researcher goes to elementary schools in under resourced neighborhoods and approaches children as they are leaving the campus to tell they they have to participate in the study. The students are not told anything about the potential risks or benefits of study participation and are not compensated for being in the study. Drinking 8 glasses of water per day is known to be better for health compared to drinking 8 glasses of SSB per day. Because one treatment is already known to be more…
- 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?If only the person collecting the data knew who was receiving the pills and who was receiving the placebo, which of the following best describes the study type? A Control B Single blind C Double blind D Bias Answer is B. Single blind? Can you help me to explain to me step by step?A case-control study was conducted to evaluate the relationship between physical activity and coronary heart disease (CHD) in men. A total of 406 men newly diagnosed with CHD were included together with 406 men of similar ages who did not have CHD. The risk of CHD (measured by the OR) was higher among men who were inactive or only moderately active (collectively called ‘inactive’) than among those who were physically active: (See attached image) Odds ratio for inactive men compared to active men= (299 x 136)/(270 x 107)=1.41Suppose there is no misclassification in these data.What would the observed OR have been... 1. If 20% of all the inactive men had been misclassified as active? 2. If 10 % of inactive cases had been misclassified as active?