ad_CST_MOp-int-py_contralesional_selfdrawnROA+CCcut_log.txt 3.3 KB

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  1. Model Name: ad_CST_MOp-int-py_contralesional_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: 0.0102
  7. Min. group size: 156 Log-Likelihood: 305.1544
  8. Max. group size: 205 Converged: No
  9. Mean group size: 180.5
  10. -----------------------------------------------------------
  11. Coef. Std.Err. z P>|z| [0.025 0.975]
  12. -----------------------------------------------------------
  13. Intercept 1.105 0.008 130.775 0.000 1.088 1.122
  14. merged_timepoint 0.001 0.001 2.416 0.016 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 -0.0517 0.1926 -0.116 0.0126 False
  23. 0 7 -0.0246 0.9 -0.0925 0.0432 False
  24. 0 14 -0.0034 0.9 -0.0703 0.0635 False
  25. 0 21 -0.0052 0.9 -0.0721 0.0617 False
  26. 0 28 0.0303 0.782 -0.0391 0.0997 False
  27. 3 7 0.0271 0.7892 -0.0355 0.0896 False
  28. 3 14 0.0483 0.2153 -0.0132 0.1099 False
  29. 3 21 0.0465 0.2537 -0.015 0.108 False
  30. 3 28 0.082 0.0041 0.0178 0.1463 True
  31. 7 14 0.0213 0.9 -0.044 0.0865 False
  32. 7 21 0.0195 0.9 -0.0458 0.0847 False
  33. 7 28 0.055 0.1856 -0.0128 0.1228 False
  34. 14 21 -0.0018 0.9 -0.0661 0.0624 False
  35. 14 28 0.0337 0.6717 -0.0332 0.1006 False
  36. 21 28 0.0355 0.6269 -0.0314 0.1024 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 0.0229 0.9 -0.0678 0.1136 False
  44. 0 7 0.0068 0.9 -0.0769 0.0906 False
  45. 0 14 0.0223 0.9 -0.0581 0.1027 False
  46. 0 21 0.0439 0.7139 -0.0481 0.1359 False
  47. 0 28 0.0105 0.9 -0.0768 0.0978 False
  48. 3 7 -0.0161 0.9 -0.1081 0.0759 False
  49. 3 14 -0.0006 0.9 -0.0896 0.0883 False
  50. 3 21 0.021 0.9 -0.0786 0.1205 False
  51. 3 28 -0.0124 0.9 -0.1077 0.0828 False
  52. 7 14 0.0154 0.9 -0.0665 0.0973 False
  53. 7 21 0.037 0.8461 -0.0563 0.1304 False
  54. 7 28 0.0037 0.9 -0.085 0.0923 False
  55. 14 21 0.0216 0.9 -0.0687 0.1119 False
  56. 14 28 -0.0118 0.9 -0.0973 0.0737 False
  57. 21 28 -0.0334 0.9 -0.1299 0.0631 False
  58. ---------------------------------------------------
  59. Sidak Multiple Comparisons:
  60. Group1 Group2 TimePoint PValue SignificantDifference
  61. Stroke Sham 3 [0.03021924] Yes
  62. Stroke Sham 14 [0.97095388] No
  63. Stroke Sham 21 [0.57191007] No
  64. Stroke Sham 28 [0.09000373] No
  65. Stroke Sham 7 [0.66630831] No
  66. Stroke Sham 0 [0.22831231] No