Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d…
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Example 9.14: confidence intervals for logistic regression models
Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d…
Example 9.14: confidence intervals for logistic regression models
Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d…
Example 8.42: skewness and kurtosis and more moments (oh my!)
While skewness and kurtosis are not as often calculated and reported as mean and standard deviation, they can be useful at times. Skewness is the 3rd moment around the mean, and characterizes whether the distribution is symmetric (skewness=0). Kurtos…
Example 8.42: skewness and kurtosis and more moments (oh my!)
While skewness and kurtosis are not as often calculated and reported as mean and standard deviation, they can be useful at times. Skewness is the 3rd moment around the mean, and characterizes whether the distribution is symmetric (skewness=0). Kurtos…
Example 8.42: skewness and kurtosis and more moments (oh my!)
While skewness and kurtosis are not as often calculated and reported as mean and standard deviation, they can be useful at times. Skewness is the 3rd moment around the mean, and characterizes whether the distribution is symmetric (skewness=0). Kurtos…
Example 8.34: lack of robustness of t test with small n
Tim Hesterberg has effectively argued for a larger role for resampling based inference in introductory statistics courses (and statistical practice more generally). While the Central Limit Theorem is a glorious result, and the Student t-test remarkabl…
Example 8.18: A Monte Carlo experiment
In recent weeks, we’ve explored methods to fit logistic regression models when a state of quasi-complete separation exists. We considered Firth’s penalized likelihood approach, exact logistic regression, and Bayesian models using Markov chain Monte Ca…