Posts Tagged ‘ ods system ’

Example 9.14: confidence intervals for logistic regression models

November 15, 2011
By

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...
Read more »

Tags: , , , , , , , ,
Posted in SAS | Comments Off

Example 9.14: confidence intervals for logistic regression models

November 15, 2011
By

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...
Read more »

Tags: , , , , , , , ,
Posted in SAS | Comments Off

Example 9.14: confidence intervals for logistic regression models

November 15, 2011
By

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...
Read more »

Tags: , , , , , , , ,
Posted in SAS | Comments Off

Example 8.42: skewness and kurtosis and more moments (oh my!)

June 27, 2011
By
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...
Read more »

Tags: , , , , , ,
Posted in SAS | Comments Off

Example 8.42: skewness and kurtosis and more moments (oh my!)

June 27, 2011
By
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...
Read more »

Tags: , , , , , ,
Posted in SAS | Comments Off

Example 8.42: skewness and kurtosis and more moments (oh my!)

June 27, 2011
By
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...
Read more »

Tags: , , , , , ,
Posted in SAS | Comments Off

Example 8.34: lack of robustness of t test with small n

April 12, 2011
By

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...
Read more »

Tags: , , , , , , , , , , , , , , ,
Posted in SAS | Comments Off

Example 8.18: A Monte Carlo experiment

December 13, 2010
By

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...
Read more »

Tags: , , , , , , , , , ,
Posted in SAS | Comments Off

Proc-x is looking for sponsors!

Dear readers, proc-x is looking for sponsors who would be willing to support the site in exchange for banner ads in the right sidebar of the site. If you are interested, please e-mail me at: [email protected]

Welcome!

SAS-X.com offers news and tutorials about the various SAS® software packages, contributed by bloggers. You are welcome to subscribe to e-mail updates, or add your SAS-blog to the site.

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.