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Explain confounding variables. How would you calculate P-value by hand? What is p-value, and how would you characterize its pros and cons? How can we increase power in a study? Calculate sensitivity for a test/small sample. Find confidence interval of a classifier that has 99.5% accuracy. How would you test if a single die was loaded on one side? Subsequently, how would you test this with 90% power? How do you write an SAP? You are posed with a question: "What are the chances a retired person who makes >100k has a kid who makes >100k?". How would you go about solving this question? Given a list of numbers, write a function that returns a list in which each element is a tuple of the data point and its empirical cdf value. Given the name of the predictor variables, outcome variable, and name of the dataset, provide the code to perform a logistic regression. Write a function that accepts any integer and returns the sum of all the digits in the number.
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Clinical Bio Statistician

Interviewed at Natera

3.9★
Dec 3, 2020

Explain confounding variables. How would you calculate P-value by hand? What is p-value, and how would you characterize its pros and cons? How can we increase power in a study? Calculate sensitivity for a test/small sample. Find confidence interval of a classifier that has 99.5% accuracy. How would you test if a single die was loaded on one side? Subsequently, how would you test this with 90% power? How do you write an SAP? You are posed with a question: "What are the chances a retired person who makes >100k has a kid who makes >100k?". How would you go about solving this question? Given a list of numbers, write a function that returns a list in which each element is a tuple of the data point and its empirical cdf value. Given the name of the predictor variables, outcome variable, and name of the dataset, provide the code to perform a logistic regression. Write a function that accepts any integer and returns the sum of all the digits in the number.

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