How would you determine whether age is an effect modifier in your study?
a. age-stratified OR are different from CRUDE OR but same as each other
b. age-stratified OR are different from CRUDE
c. age-stratified OR are the same
d. age-stratified OR different from each other
age-stratified OR are different from CRUDE
In this way you determine whether age is an effect modifier in your study...
Hence b is the right answer...
Note-if there is any understanding problem regarding this please feel free to ask via comment box.thank you
How would you determine whether age is an effect modifier in your study? a. age-stratified OR...
Gender was considered a potential confounder and/or effect measure modifier in this study. The data were stratified by gender in order to assess these issues. Calculate and interpret the stratum-specific odds ratios among males and females using the following data: Females Heavy Alcohol Consumption Cases Controls Yes 50 50 No 75 150 Males Heavy Alcohol Consumption Cases Controls Yes 300 150 No 50 50 Do you think gender is a confounder in this study? Explain your reasoning. Do you think...
Q1. For the following three questions, consider the following risk ratios from a cohort study on the association between diabetes and glaucoma: Crude: 1.88 Race/ethnicity-adjusted: 1.56 Race/ethnicity-stratified (White participants): 1.49 Race/ethnicity-stratified (Black participants): 1.99 Race/ethnicity-stratified (Asian participants): 1.35 Race/ethnicity-stratified (Hispanic participants): 1.78 a)Race is producing: No confounding Positive confounding Negative confounding b) Race is: A confounder An effect modifier Both a confounder and an effect modifier Neither a confounder nor an effect modifier c) Which is the best single measure...
Q1. For the following three questions, consider the following risk ratios from a cohort study on the association between diabetes and glaucoma: Crude: 1.88 Race/ethnicity-adjusted: 1.56 Race/ethnicity-stratified (White participants): 1.49 Race/ethnicity-stratified (Black participants): 1.99 Race/ethnicity-stratified (Asian participants): 1.35 Race/ethnicity-stratified (Hispanic participants): 1.78 a)Race is producing: No confounding Positive confounding Negative confounding b) Race is: A confounder An effect modifier Both a confounder and an effect modifier Neither a confounder nor an effect modifier c) Which is the best single measure...
Using direct adjustment with the total study population as your reference group, please calculate the age-standardized cumulative incidence rate for the association between hypertension and stroke. You, as an investigator, are interested in the association between hypertension and stroke and collect the following data. Hypertension: 368 (stroke), 752 (no stroke) Non-Hypertensive 556 (stroke), 2,324(no stroke) a) Calculate the crude appropriate measure of association for the relationship between hypertension and stroke and interpret your answer. After completing the crude analysis, you...
A study is being conducted to determine whether drivers at or over the age of 70 have longer reaction times in a simple driving task than drivers aged less than 70. A SRS of 50 drivers at or over age 70, and another SRS of 60 drivers under age 70 is selected. Each driver’s reaction time to a specific driving activity was measured in a laboratory, and the reaction times in minutes were recorded. The sample mean and sample standard...
A. You conduct a study on family
history of diabetes and pulmonary hypertension. Since you are
concerned about the presence of a third variable - personal history
of diabetes, you run a stratified analysis. From a previous
analysis, you know that the crude odds ratio is 3.4. What are the
stratum-specific ORs & 95% CIs when stratified on personal
history of diabetes? Be sure to jot down the stratum-specific ORs
and the confidence intervals for each stratum.
B. Without hypothesizing...
One study was conducted to determine whether the average age of a mobile phone is normally distributed with an estimated 5-year average population and a standard deviation of 1.4 years. If a random sample of 18 cellphones is taken. a. Determine the average age of mobile phones more than 5 years 6 months. b. Determine the average age of the mobile phone between 5.5 to 6 years.
You decide to study the effect of GRE preparatory course on GRE score. Describe, in detail, how you will design your study, how you will collect data, and how you are going to statistically test whether the GRE course had an effect on GRE score. Be as specific as you can about your hypotheses. How would you, if at all, change your study if you decided to study the effect of the GRE preparatory course on graduate school admission instead?...
Dr. Freedom conducted an experiment to determine whether varying the sound level would effect participant’s evaluation of a video. Participants were randomly assigned to watch the same video with the sound level set at high, medium, or low. In this example, the independent variable is Select one: a. the evaluation of the video. b. the sound level of the video. c. the video. d. high, medium, and low.
A researcher is examining whether the effect of violent video games on aggressive behavior is the same at different ages. She recruited 90 participants, 30 from elementary schools, 30 from junior high schools and 30 from senior high schools. She then assigned half of the participants in each age group to play violent video games and another half to play non-violent video games. Aggressive behaviors were observed after children playing video games. Question: Which type of analysis is most appropriate...