ad_CST_MOp-int-py_ipsilesional_selfdrawnROA+CCcut_log.txt 3.5 KB

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  1. Model Name: ad_CST_MOp-int-py_ipsilesional_selfdrawnROA+CCcut
  2. Mixed Linear Model Regression Results
  3. ====================================================================
  4. Model: MixedLM Dependent Variable: Value
  5. No. Observations: 361 Method: REML
  6. No. Groups: 2 Scale: 0.0088
  7. Min. group size: 156 Log-Likelihood: inf
  8. Max. group size: 205 Converged: Yes
  9. Mean group size: 180.5
  10. --------------------------------------------------------------------
  11. Coef. Std.Err. z P>|z| [0.025 0.975]
  12. --------------------------------------------------------------------
  13. Intercept 0.000 183566.794 0.000 1.000 -359784.305 359784.305
  14. merged_timepoint 0.001 0.001 2.031 0.042 0.000 0.002
  15. Group Var 0.000
  16. ====================================================================
  17. Posthoc Analysis for Stroke:
  18. Multiple Comparison of Means - Tukey HSD, FWER=0.05
  19. ===================================================
  20. group1 group2 meandiff p-adj lower upper reject
  21. ---------------------------------------------------
  22. 0 3 0.0113 0.9 -0.0492 0.0718 False
  23. 0 7 -0.0357 0.5808 -0.0996 0.0282 False
  24. 0 14 -0.0075 0.9 -0.0705 0.0555 False
  25. 0 21 -0.0066 0.9 -0.0696 0.0564 False
  26. 0 28 0.0548 0.1565 -0.0105 0.1202 False
  27. 3 7 -0.047 0.2 -0.1059 0.0119 False
  28. 3 14 -0.0188 0.9 -0.0768 0.0391 False
  29. 3 21 -0.018 0.9 -0.0759 0.04 False
  30. 3 28 0.0435 0.3076 -0.017 0.104 False
  31. 7 14 0.0282 0.7462 -0.0332 0.0896 False
  32. 7 21 0.0291 0.7226 -0.0324 0.0905 False
  33. 7 28 0.0905 0.001 0.0267 0.1544 True
  34. 14 21 0.0009 0.9 -0.0596 0.0614 False
  35. 14 28 0.0624 0.0541 -0.0006 0.1254 False
  36. 21 28 0.0615 0.0603 -0.0015 0.1245 False
  37. ---------------------------------------------------
  38. Posthoc Analysis for Sham:
  39. Multiple Comparison of Means - Tukey HSD, FWER=0.05
  40. ===================================================
  41. group1 group2 meandiff p-adj lower upper reject
  42. ---------------------------------------------------
  43. 0 3 0.0472 0.5419 -0.034 0.1284 False
  44. 0 7 -0.0004 0.9 -0.0754 0.0745 False
  45. 0 14 0.0382 0.6259 -0.0338 0.1101 False
  46. 0 21 0.0404 0.6908 -0.0419 0.1228 False
  47. 0 28 0.0192 0.9 -0.0589 0.0974 False
  48. 3 7 -0.0476 0.5469 -0.13 0.0348 False
  49. 3 14 -0.009 0.9 -0.0887 0.0706 False
  50. 3 21 -0.0067 0.9 -0.0959 0.0824 False
  51. 3 28 -0.0279 0.9 -0.1132 0.0573 False
  52. 7 14 0.0386 0.6319 -0.0347 0.1119 False
  53. 7 21 0.0409 0.6935 -0.0427 0.1244 False
  54. 7 28 0.0197 0.9 -0.0597 0.099 False
  55. 14 21 0.0023 0.9 -0.0786 0.0831 False
  56. 14 28 -0.0189 0.9 -0.0955 0.0576 False
  57. 21 28 -0.0212 0.9 -0.1076 0.0652 False
  58. ---------------------------------------------------
  59. Sidak Multiple Comparisons:
  60. Group1 Group2 TimePoint PValue SignificantDifference
  61. Stroke Sham 3 [0.54265674] No
  62. Stroke Sham 14 [0.39267564] No
  63. Stroke Sham 21 [0.40264947] No
  64. Stroke Sham 28 [0.04003806] Yes
  65. Stroke Sham 7 [0.31856047] No
  66. Stroke Sham 0 [0.20664575] No