Posts Tagged ‘ simulate data ’

Example 2014.7: Simulate logistic regression with an interaction

June 24, 2014
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Example 2014.7: Simulate logistic regression with an interaction

Reader Annisa Mike asked in a comment on an early post about power calculation for logistic regression with an interaction.

This is a topic that has come up with increasing frequency in grant proposals and article submissions. We'll begin by showing how to simulate data with the interaction,...
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Example 2014.6: Comparing medians and the Wilcoxon rank-sum test

June 12, 2014
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Example 2014.6: Comparing medians and the Wilcoxon rank-sum test

This post was kindly contributed by SAS and R - go there to comment and to read the full post. A colleague recently contacted us with the following question: “My outcome is skewed– how can I compare medians across multiple categories?” What they were asking for was a generalization of the Wilcoxon rank-sum test...
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Example 9.7: New stuff in SAS 9.3– Frailty models

September 27, 2011
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Shared frailty models are a way of allowing correlated observations into proportional hazards models. Briefly, instead of l_i(t) = l_0(t)e^(x_iB), we allow l_ij(t) = l_0(t)e^(x_ijB + g_i), where observations j are in clusters i, g_i is typically norma...
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Example 9.7: New stuff in SAS 9.3– Frailty models

September 27, 2011
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Shared frailty models are a way of allowing correlated observations into proportional hazards models. Briefly, instead of l_i(t) = l_0(t)e^(x_iB), we allow l_ij(t) = l_0(t)e^(x_ijB + g_i), where observations j are in clusters i, g_i is typically norma...
Read more »

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

Example 9.7: New stuff in SAS 9.3– Frailty models

September 27, 2011
By

Shared frailty models are a way of allowing correlated observations into proportional hazards models. Briefly, instead of l_i(t) = l_0(t)e^(x_iB), we allow l_ij(t) = l_0(t)e^(x_ijB + g_i), where observations j are in clusters i, g_i is typically norma...
Read more »

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