ad_CST_MOp-int-py_contralesional_CCcut_log.txt 3.5 KB

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  1. Model Name: ad_CST_MOp-int-py_contralesional_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: 0.0102
  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 197199.860 0.000 1.000 -386504.623 386504.623
  14. merged_timepoint 0.001 0.001 2.367 0.018 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 -0.0493 0.2327 -0.1132 0.0146 False
  23. 0 7 -0.0233 0.9 -0.0908 0.0441 False
  24. 0 14 -0.0019 0.9 -0.0684 0.0646 False
  25. 0 21 -0.0046 0.9 -0.0711 0.0619 False
  26. 0 28 0.0311 0.7605 -0.0379 0.1001 False
  27. 3 7 0.026 0.8138 -0.0362 0.0881 False
  28. 3 14 0.0474 0.2281 -0.0137 0.1086 False
  29. 3 21 0.0448 0.2887 -0.0164 0.1059 False
  30. 3 28 0.0804 0.005 0.0165 0.1443 True
  31. 7 14 0.0215 0.9 -0.0434 0.0863 False
  32. 7 21 0.0188 0.9 -0.0461 0.0836 False
  33. 7 28 0.0544 0.19 -0.013 0.1218 False
  34. 14 21 -0.0027 0.9 -0.0666 0.0612 False
  35. 14 28 0.0329 0.6858 -0.0336 0.0994 False
  36. 21 28 0.0356 0.6195 -0.0309 0.1021 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 0.0243 0.9 -0.0667 0.1152 False
  44. 0 7 0.0076 0.9 -0.0764 0.0916 False
  45. 0 14 0.0225 0.9 -0.0582 0.1031 False
  46. 0 21 0.0428 0.7366 -0.0496 0.1351 False
  47. 0 28 0.0103 0.9 -0.0773 0.0979 False
  48. 3 7 -0.0167 0.9 -0.109 0.0757 False
  49. 3 14 -0.0018 0.9 -0.0911 0.0875 False
  50. 3 21 0.0185 0.9 -0.0814 0.1184 False
  51. 3 28 -0.0139 0.9 -0.1095 0.0816 False
  52. 7 14 0.0149 0.9 -0.0673 0.097 False
  53. 7 21 0.0351 0.8814 -0.0585 0.1288 False
  54. 7 28 0.0027 0.9 -0.0862 0.0917 False
  55. 14 21 0.0203 0.9 -0.0703 0.1109 False
  56. 14 28 -0.0121 0.9 -0.0979 0.0736 False
  57. 21 28 -0.0324 0.9 -0.1293 0.0644 False
  58. ---------------------------------------------------
  59. Sidak Multiple Comparisons:
  60. Group1 Group2 TimePoint PValue SignificantDifference
  61. Stroke Sham 3 [0.02910458] Yes
  62. Stroke Sham 14 [0.96113758] No
  63. Stroke Sham 21 [0.57368887] No
  64. Stroke Sham 28 [0.09216774] No
  65. Stroke Sham 7 [0.61322217] No
  66. Stroke Sham 0 [0.2588129] No