ad_CST_MOp-int-py_contralesional_CCasROA_log.txt 3.3 KB

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  1. Model Name: ad_CST_MOp-int-py_contralesional_CCasROA
  2. Mixed Linear Model Regression Results
  3. ===========================================================
  4. Model: MixedLM Dependent Variable: Value
  5. No. Observations: 361 Method: REML
  6. No. Groups: 2 Scale: 0.0101
  7. Min. group size: 156 Log-Likelihood: 307.6556
  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 1.102 0.008 131.488 0.000 1.085 1.118
  14. merged_timepoint 0.001 0.001 2.362 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 -0.0468 0.2771 -0.11 0.0165 False
  23. 0 7 -0.0212 0.9 -0.0879 0.0455 False
  24. 0 14 0.0008 0.9 -0.065 0.0666 False
  25. 0 21 -0.0038 0.9 -0.0696 0.062 False
  26. 0 28 0.0324 0.7199 -0.0359 0.1007 False
  27. 3 7 0.0256 0.8177 -0.036 0.0871 False
  28. 3 14 0.0475 0.2156 -0.013 0.1081 False
  29. 3 21 0.0429 0.3223 -0.0176 0.1035 False
  30. 3 28 0.0792 0.0052 0.016 0.1424 True
  31. 7 14 0.022 0.9 -0.0422 0.0861 False
  32. 7 21 0.0174 0.9 -0.0468 0.0816 False
  33. 7 28 0.0536 0.1937 -0.0131 0.1203 False
  34. 14 21 -0.0046 0.9 -0.0678 0.0586 False
  35. 14 28 0.0316 0.7099 -0.0342 0.0974 False
  36. 21 28 0.0362 0.5949 -0.0296 0.102 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 0.0235 0.9 -0.0675 0.1145 False
  44. 0 7 0.0066 0.9 -0.0774 0.0907 False
  45. 0 14 0.0234 0.9 -0.0573 0.104 False
  46. 0 21 0.0424 0.7424 -0.0499 0.1348 False
  47. 0 28 0.0094 0.9 -0.0782 0.097 False
  48. 3 7 -0.0168 0.9 -0.1091 0.0755 False
  49. 3 14 -0.0001 0.9 -0.0894 0.0892 False
  50. 3 21 0.019 0.9 -0.0809 0.1189 False
  51. 3 28 -0.014 0.9 -0.1096 0.0816 False
  52. 7 14 0.0167 0.9 -0.0655 0.0989 False
  53. 7 21 0.0358 0.8702 -0.0578 0.1294 False
  54. 7 28 0.0028 0.9 -0.0862 0.0918 False
  55. 14 21 0.0191 0.9 -0.0716 0.1097 False
  56. 14 28 -0.0139 0.9 -0.0997 0.0719 False
  57. 21 28 -0.033 0.9 -0.1298 0.0638 False
  58. ---------------------------------------------------
  59. Sidak Multiple Comparisons:
  60. Group1 Group2 TimePoint PValue SignificantDifference
  61. Stroke Sham 3 [0.03342765] Yes
  62. Stroke Sham 14 [0.94939546] No
  63. Stroke Sham 21 [0.55448925] No
  64. Stroke Sham 28 [0.0888678] No
  65. Stroke Sham 7 [0.64864246] No
  66. Stroke Sham 0 [0.29861891] No