Project measure / variable:   Schauwecker1   survival

ID, description, units MPD:47704   survival   status epilepticus seizure mortality (0=died; 1=survived)   [designation]  
pilocarpine study
Data set, strains Schauwecker1   inbred   11 strains     sex: m     age: 8-10wks
Procedure health assessment
Ontology mappings

  STRAIN COMPARISON PLOT
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Schauwecker1 - status epilepticus seizure mortality (0=died; 1=survived)



  MEASURE SUMMARY
Measure Summary Male
Number of strains tested11 strains
Mean of the strain means0.610   designation
Median of the strain means0.571   designation
SD of the strain means± 0.265
Coefficient of variation (CV)0.435
Min–max range of strain means0.133   –   1.00   designation
Mean sample size per strain17.6   mice


  ANOVA, Q-Q NORMALITY ASSESSMENT
ANOVA summary      
FactorDFSum of squaresMean sum of squaresF valuep value (Pr>F)
strain 10 10.7226 1.0723 5.365 < 0.0001
Residuals 191 38.1734 0.1999


Q-Q normality assessment based on residuals

  


  STRAIN MEANS (UNADJUSTED)
  
Select table page:
Strain Sex Mean SD N mice SEM CV Min, Max Z score
129T2/SvEmsJ m 0.778 0.441   9 0.147 0.567 0.63
A/J m 0.133 0.352   15 0.0909 2.64 -1.8
AKR/J m 0.235 0.437   17 0.106 1.86 -1.41
BALB/cByJ m 0.5 0.513   20 0.115 1.03 -0.42
BALB/cJ m 0.75 0.444   20 0.0993 0.592 0.53
C3H/HeJ m 1.0 0.0   10 0.0 0.0 1.0, 1.0 1.47
C57BL/6J m 0.514 0.507   35 0.0857 0.986 -0.36
CBA/J m 0.571 0.507   21 0.111 0.887 -0.15
DBA/2J m 0.8 0.422   10 0.133 0.527 0.72
FVB/NJ m 0.55 0.51   20 0.114 0.928 -0.23
SJL/J m 0.88 0.332   25 0.0663 0.377 1.02


  LEAST SQUARES MEANS (MODEL-ADJUSTED)
Strain Sex Mean SEM UpperCL LowerCL
129T2/SvEmsJ m 0.7778 0.149 1.0717 0.4838
A/J m 0.1333 0.1154 0.361 0.0
AKR/J m 0.2353 0.1084 0.4492 0.0214
BALB/cByJ m 0.5 0.1 0.6972 0.3028
BALB/cJ m 0.75 0.1 0.9472 0.5528
C3H/HeJ m 1.0 0.1414 1.2789 0.7211
C57BL/6J m 0.5143 0.0756 0.6633 0.3652
CBA/J m 0.5714 0.0976 0.7639 0.379
DBA/2J m 0.8 0.1414 1.0789 0.5211
FVB/NJ m 0.55 0.1 0.7472 0.3528
SJL/J m 0.88 0.0894 1.0564 0.7036




  GWAS USING LINEAR MIXED MODELS