Gender was considered a potential confounder and/or effect measure modifier in this study. The data were...
- 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:
-
Males Heavy Alcohol Consumption Cases Controls Yes 300 150 No 50 50Females Heavy Alcohol Consumption Cases Controls Yes 50 50 No 75 150 - Do you think gender is a confounder in this study? Explain your reasoning.
- Do you think gender is an effect measure modifier in this study? Explain your reasoning.
-
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Gender was considered a potential confounder and/or effect
measure modifier in this study. The data were...
Gender was considered as a potential effect modifier (to assess interaction between gender and cell phone...
Gender was considered as a potential effect modifier (to assess interaction between gender and cell phone use) in this study. The data were stratified into males and females in order to assess the possibility: c. Is gender an effect modifier in this study? . Briefly justify your answer Males Females Cases Controls Cases Controls Cell Yes 242 150 Yes 28 50 Phone Users No 100 50 No 105 150 Stratum-specific OR = 0.8 ...
. In a hypothetical case-control study of 180 cases of heart disease and 300 unmatched controls,...
. In a hypothetical case-control study of 180 cases of heart disease and 300 unmatched controls, the following 2x2 table was determined for the association of sedentary lifestyle with heart disease: Cases Controls Sedentary lifestyle 135 150 Not sedentary lifestyle 45 150 180 300 (a) Compute the odds ratio for sedentary lifestyle and heart disease. (b) There is concern that sex may be a confounder in the relationship between sedentary lifestyle and heart disease. What three conditions must...
1. Consider the following outcome from a hospital study on seatbelt use and ER visits by...
1. Consider the following outcome from a hospital study on seatbelt use and ER visits by sex. Seatbelt Use Males Females ER visit Yes ER Visit No ER visit Yes ER Visit No Total Yes 23,110 288,082 30,837 200,337 542,366 No 6,211 18851 6,030 10,304 41,396 Total 29,321 306,933 36,867 210,641 583,762 a) Calculate the Crude Odds ratio of the relationship between seatbelt use and ER visit. [4] b) Calculate the odds ratio of the association between seatbelt use and...
A. You conduct a study on family history of diabetes and pulmonary hypertension. Since you are...
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...
The effect of exposure to high levels of alcohol consumption was compared to occasional or no...
The effect of exposure to high levels of alcohol consumption was compared to occasional or no alcohol consumption among adult males and females. It is hypothesized that high levels of alcohol consumption is associated with myocardial infarction (MI). This association was studied with 596 incident cases of MI diagnosed in the emergency rooms of several hospitals and compared to 1012 other subjects who visited the same emergency rooms for reasons other than cardiovascular and respiratory diseases. All subjects were asked...
The effect of exposure to high levels of alcohol consumption was compared to occasional or no...
The effect of exposure to high levels of alcohol consumption was compared to occasional or no alcohol consumption among adult males and females. It is hypothesized that high levels of alcohol consumption is associated with myocardial infarction (MI). This association was studied with 596 incident cases of MI diagnosed in the emergency rooms of several hospitals and compared to 1012 other subjects who visited the same emergency rooms for reasons other than cardiovascular and respiratory diseases. All subjects were asked...
thanks for your help. Problem 7. Obesity An obesity researcher conducted a study to assess whether...
thanks for your help.
Problem 7. Obesity An obesity researcher conducted a study to assess whether there was a difference in the proportion (prevalence) of individuals who are obese between males and females. The following data were reported by the researcher. Obese? Gender Yes No Total Male 20 130 150 Female 50 150 200 total 70 280 350 Construct a 95% CI for PF-pm, the difference in population proportion of obesity between females and males. Problem 8. Deep Vein Thrombosis...
4. (Four parts; 13 marks in total) A study was conducted to assess the effect of...
4. (Four parts; 13 marks in total) A study was conducted to assess the effect of gender on average math SAT scores for students applying to a particular math department. The "effect" of gender (or the gender effect) on average math SAT score is defined as the difference in average math SAT score between males and females (um -up). Assume all the required assumptions are satisfied. a) (2 marks) Referring to the output in Tables 1 and 2 below, is...
In Data 4.1 on page 258, we examine a study in which mice were randomly assigned to either a norm...
In Data 4.1 on page 258, we examine a study in which mice were randomly assigned to either a normal light/dark cycle or to have a light on around the clock. According to the paper describing that study, "The global increase in the prevalence of obesity and metabolic disorders coincides with the increase of exposure to light at night." The study is examining whether light at night plays a causal role in the obesity epidemic. In Data 4.1, we examine...
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...
The effect of exposure to high levels of alcohol consumption was compared to occasional or no alcohol consumption among adult males and females. It is hypothesized that high levels of alcohol consumption is associated with myocardial infarction (MI). This association was studied with 596 incident cases of MI diagnosed in the emergency rooms of several hospitals and compared to 1012 other subjects who visited the same emergency rooms for reasons other than cardiovascular and respiratory diseases. All subjects were asked...
thanks for your help.
Problem 7. Obesity An obesity researcher conducted a study to assess whether there was a difference in the proportion (prevalence) of individuals who are obese between males and females. The following data were reported by the researcher. Obese? Gender Yes No Total Male 20 130 150 Female 50 150 200 total 70 280 350 Construct a 95% CI for PF-pm, the difference in population proportion of obesity between females and males. Problem 8. Deep Vein Thrombosis...
4. (Four parts; 13 marks in total) A study was conducted to assess the effect of gender on average math SAT scores for students applying to a particular math department. The "effect" of gender (or the gender effect) on average math SAT score is defined as the difference in average math SAT score between males and females (um -up). Assume all the required assumptions are satisfied. a) (2 marks) Referring to the output in Tables 1 and 2 below, is...
In Data 4.1 on page 258, we examine a study in which mice were randomly assigned to either a normal light/dark cycle or to have a light on around the clock. According to the paper describing that study, "The global increase in the prevalence of obesity and metabolic disorders coincides with the increase of exposure to light at night." The study is examining whether light at night plays a causal role in the obesity epidemic. In Data 4.1, we examine...
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