topic Re: Full parameter estimates in mixed model in Discussions

Full parameter estimates in mixed model

CowDoc — Mon, 12 Aug 2024 15:22:35 GMT

I am running a mixed model for a continuous outcome using JMP Pro 17. In the output for the fixed effects parameter estimates, I have a 5-class categorical disease and the report shows the result for 4 of the 5 levels. How do I get or derive the Std Error for the parameter that is not displayed in the output report? (see the last row in the output copied and pasted below)

Fixed Effects Parameter Estimates

Term	Estimate	Std Error	DFDen	t Ratio	Prob>\|t\|	95% Lower	95% Upper
Intercept	1022.568	168.9938	296.6	6.05	<.0001	689.9884	1355.147
305MEp	0.320214	0.006541	105107	48.95	<.0001	0.307393	0.333034
PrevLgp[1]	-124.385	13.32405	102630	-9.34	<.0001	-150.5	-98.2698
PrevLgp[2]	99.0082	14.12753	90441	7.01	<.0001	71.31838	126.698
PrevLgp[3]	153.9814	15.93062	94837	9.67	<.0001	122.7575	185.2052
PrevLgp[4]	81.06569	22.15344	100970	3.66	0.0003	37.64522	124.4862
PrevLgp_5+

Re: Full parameter estimates in mixed model

statman — Mon, 12 Aug 2024 16:12:27 GMT

Possibly see here:

https://www.jmp.com/support/help/en/18.0/?os=mac&source=application#page/jmp/expanded-estimates.shtml%23

Re: Full parameter estimates in mixed model

CowDoc — Mon, 12 Aug 2024 16:35:25 GMT

Yes, I use the Expanded Estimates report when I run least sq means models/ANOVA but I don't think it is an option within the mixed models section. I am running a mixed model with 2 variables listed as random effects and others listed as fixed effects. However, I can't figure out how to get the std error/confidence interval for the unreported category.

Re: Full parameter estimates in mixed model

CowDoc — Tue, 13 Aug 2024 11:45:56 GMT

OK - I figured out a work around. In order to get the missing details, I changed the ordering of the categorical variables and then reran the model. Now, I can copy in the previously missing line because the referent population has changed.