Home » Data Science » Machine Learning » You are studying the effect of a new treatment for heart attack, your job consists in looking at outcomes of the effect in patients, fill the unit level treatment effect column using the Neyman-Rubin causal model, and then calculate the average treatment effect. Q: Practice More Questions From: Measuring Treatment Effects Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 2000+ Qs Machine Learning 1000+ Qs Created with Fabric.js 4.6.0 Similar Questions Given the following statistical information of patients for a treatment arm and a control group, which one corresponds to a correct setup of a randomized control trial? Using the S-Learner, or Single Tree, method, what is the conditional average treatment effect for a 61 year-old patient with a blood pressure (BP) of 140? Which considerations are relevant to the S-Learner Method? Choose all that are correct. Which considerations are relevant to the T-Learner Method? Choose all that are correct. You are part of a medical team trying to create an alternative treatment for patients with lung cancer. Your group performs several experiments and reports results with the following p-values. Which has the most statistically significant result? Given an average risk reduction (ARR) of 0.2, on average, how many people need to receive the treatment in order to benefit one of them (NNT)? You are studying the effect of a new treatment for heart attack, your job consists in looking at outcomes of the effect in patients, fill the unit level treatment effect column using the Neyman-Rubin causal model, and then calculate the average treatment effect. Calculate the conditional average treatment effect applying the Two-Tree Learner method, the patient has an Age=61 and BP= 130. Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs