PROC MIXED model: How to compare a coefficient estimate to a specified value?

[Brian_L]

Hi all,

Currently I am using PROC MIXED to fit some data, and I know we can use the ESTIMATE or CONTRAST statement to compare different groups.
A question I have which might be really simple is: how to test if a coefficient estimate is greater than a specified value (other than zero)?

For example:

 data wheat;
         input id variety yield moist;
         datalines;
       1       1         41       10
       2       1         69       57
       3       1         53       32
       4       1         66       52
       5       1         64       47
       6       1         64       48
       7       2         49       30
       8       2         44       21
       9       2         44       20
      10       2         46       26
      11       2         57       44
      12       2         42       19
      13       3         69       50
      14       3         62       40
      15       3         50       23
      16       3         76       58
      17       3         48       21
      18       3         55       30
      19       4         48       22
      20       4         60       40
      21       4         45       17
      22       4         47       21
      23       4         62       44
      24       4         43       13
      25       5         65       49
      26       5         63       44
      27       5         71       57
      28       5         68       51
      29       5         52       27
      30       5         68       52
;

proc mixed data=wheat;
	class variety;
	model yield = moist /  solution;
	random int moist / type=un subject=variety solution;
quit;

How can I set the code to test if the fix effect “moist” is greater than 0.3 at 95% confidence level?

Thank you!
Brian

[StatsMan · Accepted solution]

Use the STORE statement to save your model results. Then use PROC PLM with the TESTVALUE= option on the ESTIMATE statement. The UPPER or LOWER option on the ESTIMATE statement will give you one-tailed tests. 

[Brian_L]

Thanks!
Very helpful!