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%?
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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%?
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- Answer the following questions using data from the figure above. a. What is the overall treatment effect? b. Provide a written interpretation of the treatment effect and 95% confidence interval. Support you answer with data from the table above. c. Would you implement the intervention (YES or NO)? Provide rationale for your answer considering the spheres of the EIDM model.You read a study in which 55 male participants (aged 55-70 years) were assessed for handgrip strength, and changes in cardiovascular health over a 2-year period. In the statistical analysis section of the paper you note that the researchers used regression analysis as the statistical procedure. The researchers identify the independent variable as handgrip strength, and the dependent variable as change in cardiovascular health. What do you think the research question could be?You read a study in which 55 male participants (aged 55-70 years) were assessed for handgrip strength, and changes in cardiovascular health over a 2-year period. In the statistical analysis section of the paper you note that the researchers used regression analysis as the statistical procedure. The researchers identify the independent variable as handgrip strength, and the dependent variable as change in cardiovascular health. What do you think the research question could be? Select one: a. Does handgrip strength…On January 1, research on hypertension starts with 2,000 30 to 40-year-old males of which 120 are already hypertensive. Those 1880 left are followed-up for 5 years during which time 150 of them developed hypertension. Calculate the prevalence of hypertension at the start of the research. Which of the following is the BEST answer: O 600 on January 1 O 006 on January 1 O 6.00 O 6.00%
- 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 Diabeteshe first involved an assessment of the relationship between cigarette smoking and incidence of lung cancer. For cigarette smokers, the lung cancer incidence rate was Ie = 200 per 100,000. For nonsmokers, the lung cancer incidence rate was Io = 25 per 100,000. The lung cancer incidence rate in the entire population was It = 100 per 100,000. The second study involved an assessment of the relationship between cigarette smoking and incidence of coronary heart disease. For cigarette smokers, the coronary heart disease incidence rate was Ie = 500 per 100,000. For nonsmokers, it was Io = 250 per 100,000. In the overall population, the coronary heart disease rate was It = 300. 1. What is relative risk the of developing lung cancer in the first study and of developing coronary heart disease in the second study? Interpret. 2. From the data involving cigarette smoking and lung cancer incidence, what are the attributable risk and the attributable-risk percent? Interpret the result. 3. From the…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 & 2
- 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?QUESTION 1 Match each description to the correct study design. Study designs may be used more than once. ◆ Incidence data is not available with this study design, so an odds ratio is an appropriate measure of association to calculate. ◆ This study design allows for the evaluation of multiple outcomes. ◆ The temporal sequence between the exposure and outcome is clear for this study design; therefore, incidence data is available and a risk ratio can be calculated. ◆ With this study design, exposure status is assessed, and then participants are followed up over time to see who develops the outcome. ◆ Recall bias is a common issue with this study design because exposure information is collected from the past. QUESTION 2 A. Cohort study B. Case-control study Consider the following scenario for the questions that follow. In a recent case-control study, investigators enrolled 300 adults with heart disease and 300 healthy adults. During interviews with the participants, the investigators…Paper Assignment A study was conducted on patients with liver disease and some of their observations were included in the attached excel sheet. Use the dataset provided to answer the following questions: Q. 1. Write a statistical summary for participants' demographic and health details that include important variables such as Albumin Level, Age, Gender, Systolic BP, and Smoking Status. Point- 5 Q. 2. Compute most appropriate measure of central tendency and dispersion to report the variable Albumin level. Point- 2 Q. 3. (a) What is the appropriate statistical test to identify the significant difference between Gender groups and patients' Albumin level? (b) Write down the assumptions of the proposed statistical test. (c) Formulate null hypothesis & alternative hypothesis for such an association. Point-3
- A study of smoking and lung cancer was conducted in a small island population. There were a total of 1,000 people in the study, and the study participants were followed over a ten year period. Four hundred were smokers and 600 were not. Of the smokers, fifty developed lung cancer. Of the non-smokers, 10 developed lung cancer. Calculate the relevant measure of association, interpret and make a conclusion. Compute Attributable Risk and interpret . Describe the difference between incidence rate and the prevalence rate.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?Which statement best describes the impact of choice overload on physician incentives? O Choice overload tends to increase the effectiveness of physician incentives as it encourages a broader focus on multiple performance metrics. When incentives are based on too many performance metrics, choice overload can lead to inaction or inertia among physicians. O Choice overload has no significant impact on the effectiveness of physician incentives. O Choice overload, resulting from too few performance metrics, encourages physicians to focus more intently on the evaluated metrics.