Calculate an odds ratioA group of teens ages 13-17 with anxiety were chosen as cases in a case-control study. A second group of teens ages 13-17 without anxiety were chosen ascontrols for the same study. The researchers were investigating if attention deficient and hyperactivity disorder (ADHD) is a potential risk factor (exposure) foranxiety (outcome). The medical histories of cases and controls were examined to determine if participants had been diagnosed with ADHD between ages 8and 10.Among cases (teens with anxiety), 77 had been diagnosed with ADHD between ages 8 and 10 and 34 had not been diagnosed with ADHD between ages 8and 10. Among controls (teens without anxiety), 18 had been diagnosed with ADHD between ages 8 and 10 and 124 had not been diagnosed with ADHDbetween ages 8 and 10.Calculate the odds ratio to measure the association between being ADHD and anxiety in teens. Express your answer to the nearest tenth or 1 place past thedecimal (example: 15.4).

First, let's define our variables:a = number of cases with ADHD (77)b = number of cases without ADHD…

Answered: Calculate an odds ratio A group of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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What is the distinguishing feature of a case-control study such as this? An epidemiologist performed a case-control study examining whether tobacco use was associated with oral cancer. The investigator recruited a random sample of 75 adults with oral cancer and 72 adults without oral cancer. Participants were interviewed and asked about their history of tobacco use. O Exposure status was assessed, and then the participants were followed up over time to see who developed the outcome. O The exposure and outcome were measured at the same time, so temporality cannot be established. O Participants were selected based on disease status, and then exposure status was assessed from the past. O The investigator randomized participants into exposure groups and then followed them to see who developed the outcome.
1) In a study of the association between exposure to asbestos and risk of mesothelioma, 200 cases were identified, along with 200 population-based controls. In reality, the proportion of cases exposed to asbestos is 10%, and the proportion of controls exposed to asbestos is 1%. However, due to systematic errors in sampling, the proportion exposed to asbestos in the study population was 15% among cases and 5% among controls, such that the odds ratio calculated was 3.35. Of the following terms, which best describes this odds ratio: a) Precise b) Not valid c) Reliable d) Not reliable e) Not precise f) Valid
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
You conducted a study to assess the effect of smoking on systolic blood pressure. The results showed that there was a significant association between the two variables, with an odds ratio of 1.5. Explain this finding to someone who has no background in epidemiologic research.
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.
Dental health issues remain a barrier to attendance, as evidenced by a 2010 Los Angeles School Attendance Review Board (SARB), which lists dental health, along with homelessness, in the top barriers to attendance. The Dental Hygiene program at West Los Angeles College collects data on its clinic patients to help instructors and students better understand their patient population. From July 2017 to December 2019 the program treated 3421 patients. Students were asked to analyze a random sample of 127 patients from that time period and found that 36.4% had severe periodontal disease (infections and inflammation of the gums and bone that surround and support the teeth). Identify the population: Identify the sample: Identify the parameter of interest: Identify the statistic:
Suppose you needed to form a 92% confidence interval for a population mean. What z value would you use?
You want to estimate the average difference in the number of complaints filed by women at work and the number of complaints filed by men at work. You took an SRS of 7 businesses and collected the following data for number of complaints in a year: men 1 3 2 4 6 3 5 women 8 7 6 3 5 12 15 Create a 90% confidence interval for the average difference in the number of complaints filed by women at work and the number of complaints filed by men at work (in a year). You must do this using table C. If this is a 2 sample interval, be sure to specify who is population 1 and who is population 2. If this is a matched pairs interval, be sure to state the order you subtracted your data. Once you create your interval, give a sentence explaining the meaning of the interval (what the numbers in the interval mean, NOT the meaning of 95%) in context of this problem. Round to any appropriate number of decimals.
In general, why does using a repeated-measures ANOVA increase statistical power compared to using a one-way between-groups ANOVA? Group of answer choices: a.MSbetween is lower b.MSerror is higher c.MSerror is lower d.MSbetween is higher
Dr. Sloane is doing a study to test the association between alcohol consumption and the occurrence of cancer of the liver. He chooses a hospital-based sample and collects all newly diagnosed cases of histologically confirmed liver cancer diagnosed at that hospital. For his control group, he reviews the charts of all patients coming through all the clinics at this hospital who are not diagnosed with liver cancer. He makes sure that the cases and controls are similar by age and sex. A. Looking at the odds ratios and the p-values together, describe your observations. B. Looking at the p-values, what do they tell you about the strength of the association between drinking different amounts of alcohol per day and the risk of having liver cancer?
A story spoiler gives away the ending early. Does having a story spoiled in this way diminish suspense and hurt enjoyment? A study1 investigated this question. For twelve different short stories, the study’s authors created a second version in which a spoiler paragraph at the beginning discussed the story and revealed the outcome. Each version of the twelve stories was read by at least 30 people and rated on a 1 to 10 scale to create an overall rating for the story, with higher ratings indicating greater enjoyment of the story. The ratings are given in Table 1 and stored in StorySpoilers. Stories 1 to 4 were ironic twist stories, stories 5 to 8 were mysteries, and stories 9 to 12 were literary stories. Here we measure the size of the effect on mean rating. Find a 95% confidence interval for the difference in mean enjoyment rating between stories with a spoiler and stories without.Click here for the dataset associated with this question.Round your answers to three decimal places.The 95%…
Which of these experiments sounds the most like it would be analyzed with an Independent-Samples t-test? A. A study that gives patients a placebo on Monday and measures their pain, then has them back on Friday and gives them a real pain pill and measures their pain B. A study that compares tennis players vs. football players on their peak heart rate while playing their sports C.A study that looks at the attention span of a group of n=30 5-year-olds and then follows up with those same kids when they are 10-years-old D. A study that measures the knowledge of the transfer process for a group of Chaffey students, both before and after they attend an orientation

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