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Jun 24th, 2019
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  1. proc genmod data=skinny ;
  2. class personid ;
  3. model sample1_totalSpermCount_1 = samplePerson_1_byr
  4. deepgen1935c totalchildren_1935 / dist=normal link = identity;
  5. repeated subject=personid / type=exch;
  6. where deepgen_1935>=3;
  7. run;
  8.  
  9. skinny.gee3 <- gee(sample1_totalSpermCount_1 ~ samplePerson_1_byr + deepgen1935.c + totalchildren_1935,
  10. id = PersonID,
  11. data = clean[clean$DeepGen_1935 >= 3, ],
  12. family = gaussian,
  13. corstr = "exchangeable")
  14.  
  15. Coefficients:
  16. Estimate Naive S.E. Naive z Robust S.E. Robust z
  17. (Intercept) 1376.0792841 1659.6117221 0.8291574 1906.1089688 0.7219311
  18. samplePerson_1_byr -0.5671856 0.8434850 -0.6724312 0.9694925 -0.5850335
  19. deepgen1935.c -12.4639418 7.0401018 -1.7704207 4.3967397 -2.8348146
  20. totalchildren_1935 0.6572002 0.6458183 1.0176240 0.4139229 1.5877359
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