Posts Tagged ‘ random statement ’

Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

October 4, 2011
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Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

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Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

October 4, 2011
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Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

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Example 9.8: New stuff in SAS 9.3– Bayesian random effects models in Proc MCMC

October 4, 2011
By

Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...

Tags: , , , , , , , , , , ,
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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
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...

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...

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