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why is it not enough to compare averages to judge whether treatment 1 and treatment 2 produced different results?
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- what are the short comings of randomized clinical trials ?I am stuck on four questions for this lab and they are: 1. What is the question being investigated in this experiment. 2. What is the independent variable? 3. What is the dependent variable? 17. What are the control treatments?why should multiple sampling methodologies be considered for health care research? what are the risk of sampling errors?
- Which design is most efficient for testing two or more treatments/interventions at during a single trial? a) Factorial design b) Crossover design c) Run-in designBy convention, when the difference between the observed experimental outcome and the expected outcome is less than 5 percent (< 0.05), the experimental results are considered to be Group of answer choices a)less than one standard deviation from the mean. b)within the normal range. c)not significant. d)statistically significant and different from the expected outcome.Industry-sponsored clinical trials are legally required to only use clinical outcome measures that have been prospectively validated. True or false?
- What is the role of reliability and validity in the screening process and how do these two concepts affect the process and outcome of screening tests?What is the difference between disparate treatment and disparate impact?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.