A researcher is interested in the impact of joining a weight loss program in the past 12 months on the individual’s weight loss. The analysis was restricted to people aged 16 and older who answered yes to the question “During the past 12 months, have you tried to lose weight?” About 5% of the sample had joined a weight loss program in the past year. (i) Why do we restrict our analysis to those who answered yes to this question? (ii) Below is a subset of some of the other variables included in the survey. Questions were asked about actions taken in the past 12 months. Which ones do you believe should be included as covariates? Provide a justification for your choice. Age BMI Gender Height Average minutes of exercise per week. Whether they tried to eat less calories. Whether they tried to eat less fat. Whether they tried to eat less carbs. (iii)The researcher has decided to use Propensity Score Analysis. What would be the appropriate estimator for this analysis: Average Treatment Effect (ATE), Average Treatment Effect on the Treated (ATT) or Average Treatment Effect on the Untreated (ATU)? Provide a justification for your choice. (iv)Describe the process you would use to estimate Propensity Scores. (v) Discuss follow-up analyses that could be done after Propensity Score Matching.
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
A researcher is interested in the impact of joining a weight loss program in the past 12 months on the individual’s weight loss. The analysis was restricted to people aged 16 and older who answered yes to the question “During the past 12 months, have you tried to lose weight?” About 5% of the sample had joined a weight loss program in the past year.
(i) Why do we restrict our analysis to those who answered yes to this question?
(ii) Below is a subset of some of the other variables included in the survey. Questions were asked about actions taken in the past 12 months. Which ones do you believe should be included as
- Age
- BMI
- Gender
- Height
- Average minutes of exercise per week.
- Whether they tried to eat less calories.
- Whether they tried to eat less fat.
- Whether they tried to eat less carbs.
(iii)The researcher has decided to use Propensity Score Analysis. What would be the appropriate estimator for this analysis: Average Treatment Effect (ATE), Average Treatment Effect on the Treated (ATT) or Average Treatment Effect on the Untreated (ATU)? Provide a justification for your choice.
(iv)Describe the process you would use to estimate Propensity Scores.
(v) Discuss follow-up analyses that could be done after Propensity Score Matching.
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