Picture a scientist documentary
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Let’s say you want to make a simulation study to explore Method C (C for cool, because that is the best descriptor of your method). Your method assumes a continuous outcome Y and a linear relationship with the vector X through some coefficients β. Yes, this is the linear regression setup. You open your favorite coding program and start thinking. Ok, so you start by generating a matrix of covariates X. These covariates have a correlation matrix Σ. You think to yourself, I’m doing great, almost done. You are very proud because you have the mean of Y perfectly specified. The only thing that you need is β. Is it? Read more
Published:
Let’s say you want to make a simulation study to explore Method C (C for cool, because that is the best descriptor of your method). Your method assumes a continuous outcome Y and a linear relationship with the vector X through some coefficients β. Yes, this is the linear regression setup. You open your favorite coding program and start thinking. Ok, so you start by generating a matrix of covariates X. These covariates have a correlation matrix Σ. You think to yourself, I’m doing great, almost done. You are very proud because you have the mean of Y perfectly specified. The only thing that you need is β. Is it? Read more
Published:
Let’s say you want to make a simulation study to explore Method C (C for cool, because that is the best descriptor of your method). Your method assumes a continuous outcome Y and a linear relationship with the vector X through some coefficients β. Yes, this is the linear regression setup. You open your favorite coding program and start thinking. Ok, so you start by generating a matrix of covariates X. These covariates have a correlation matrix Σ. You think to yourself, I’m doing great, almost done. You are very proud because you have the mean of Y perfectly specified. The only thing that you need is β. Is it? Read more
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