2. Moderna's November 16, 2020 press release reported interim results of its phase 3 vaccine trial. The report indicated that there were 95 total cases of COVID-19 il their study participants, of which 5 cases were in the treatment group, and con the vaccine is estimated to be 94.5% effective at preventing infection. Approxim numbers of participants were in each group. Let Y; = 1{case i was in the treatment group} be a random variable representing of the ith case, and let y; denote the observed value of Y;. Then:

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2. Moderna’s November 16, 2020 press release reported interim results of its phase 3 COVID-19 vaccine trial. The report indicated that there were 95 total cases of COVID-19 illness among their study participants, of which 5 cases were in the treatment group, and concluded that the vaccine is estimated to be 94.5% effective at preventing infection. Approximately equal numbers of participants were in each group.

Let \( Y_i = 1\{\text{case } i \text{ was in the treatment group}\} \) be a random variable representing the outcome of the \( i \)th case, and let \( y_i \) denote the observed value of \( Y_i \). Then:

- \( Y_1, \ldots, Y_n \overset{\text{iid}}{\sim} \text{Bernoulli}(p) \), where \( p \) represents the conditional probability that a study participant received the vaccine, given that they contracted the virus;
- for the interim data, \( n = 95 \) and \( \bar{y} = \frac{5}{95} \approx 0.0526 \).

(a) Compute an approximate 95% confidence interval for \( p \).

(b) The press release reports a point estimate for efficacy. Efficacy is the relative reduction in case rates, which can be approximated by \( 1 - \frac{p}{1-p} \) because the participant group sizes are close. Find an approximate 95% confidence interval for efficacy by applying this same transformation to the endpoints of your interval in the previous part.

(In other words, if your interval was \( (\hat{p}_L, \hat{p}_U) \), compute \( \left(1 - \frac{\hat{p}_L}{1-\hat{p}_L}, 1 - \frac{\hat{p}_U}{1-\hat{p}_U} \right) \). This is valid because efficacy is a monotone function of \( p \) on \( (0, 1) \).)

(c) Suppose the local paper summarizes the trial results by concluding that “94.5% of vaccinated adults develop immunity”. Is this interpretation correct?
Transcribed Image Text:2. Moderna’s November 16, 2020 press release reported interim results of its phase 3 COVID-19 vaccine trial. The report indicated that there were 95 total cases of COVID-19 illness among their study participants, of which 5 cases were in the treatment group, and concluded that the vaccine is estimated to be 94.5% effective at preventing infection. Approximately equal numbers of participants were in each group. Let \( Y_i = 1\{\text{case } i \text{ was in the treatment group}\} \) be a random variable representing the outcome of the \( i \)th case, and let \( y_i \) denote the observed value of \( Y_i \). Then: - \( Y_1, \ldots, Y_n \overset{\text{iid}}{\sim} \text{Bernoulli}(p) \), where \( p \) represents the conditional probability that a study participant received the vaccine, given that they contracted the virus; - for the interim data, \( n = 95 \) and \( \bar{y} = \frac{5}{95} \approx 0.0526 \). (a) Compute an approximate 95% confidence interval for \( p \). (b) The press release reports a point estimate for efficacy. Efficacy is the relative reduction in case rates, which can be approximated by \( 1 - \frac{p}{1-p} \) because the participant group sizes are close. Find an approximate 95% confidence interval for efficacy by applying this same transformation to the endpoints of your interval in the previous part. (In other words, if your interval was \( (\hat{p}_L, \hat{p}_U) \), compute \( \left(1 - \frac{\hat{p}_L}{1-\hat{p}_L}, 1 - \frac{\hat{p}_U}{1-\hat{p}_U} \right) \). This is valid because efficacy is a monotone function of \( p \) on \( (0, 1) \).) (c) Suppose the local paper summarizes the trial results by concluding that “94.5% of vaccinated adults develop immunity”. Is this interpretation correct?
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