ITP survival analysis:   aspirin

Intervention:   aspirin     nonsteroidal anti-inflammatory drug, anti-aging
Trial code: Asp Dose: 20 ppm initiated at age: 4 mo Sex: both Cohort: C2004
This compound had a significant effect on survival:   males p = 0.0106

Results are based on the use of pooled factor(s) that is/are stratified within the survival analysis model.

All test sites combined – female
Asp effect on survival, females, test site = All
Log-rank test chisq = 1.5053 p = 0.2199
Wang-Allison test odds ratio = 0.9604 p = 1.0
Quantiles Asp Control % difference
25% died before day: 760 739 +3 %
Median lifespan (days) 850 888 -4 %
75% died before day: 952 988 -4 %
90% died before day: 1074 1072 0 %
Max lifespan observed (days) 1178 1212
Number of mice at start 140 271
Animal censor events are denoted by + marks in the plot
All test sites combined – male
Asp effect on survival, males, test site = All
Log-rank test chisq = 6.536 p = 0.0106
Wang-Allison test odds ratio = 1.4962 p = 0.1703
Quantiles Asp Control % difference
25% died before day: 676 612 +10 %
Median lifespan (days) 846 784 +8 %
75% died before day: 950 912 +4 %
90% died before day: 1091 1048 +4 %
Max lifespan observed (days) 1256 1305
Number of mice at start 168 350
Animal censor events are denoted by + marks in the plot


By individual test site:

TJL – female
TJL – female      
Asp effect on survival, females, test site = TJL
Log-rank test chisq = 0.091 p = 0.7629
Wang-Allison test odds ratio = 1.4955 p = 0.5559
Quantiles Asp Control % difference
25% died before day: 770 738 +4 %
Median lifespan (days) 843 858 -2 %
75% died before day: 940 969 -3 %
90% died before day: 1093 1050 +4 %
Max lifespan observed (days) 1163 1212
Number of mice at start 48 93
Animal censor events are denoted by + marks in the plot
TJL – male
TJL – male      
Asp effect on survival, males, test site = TJL
Log-rank test chisq = 3.806 p = 0.0511
Wang-Allison test odds ratio = 1.6868 p = 0.3028
Quantiles Asp Control % difference
25% died before day: 671 553 +21 %
Median lifespan (days) 840 757 +11 %
75% died before day: 922 875 +5 %
90% died before day: 1090 967 +13 %
Max lifespan observed (days) 1201 1216
Number of mice at start 57 125
Animal censor events are denoted by + marks in the plot
UM – female
UM – female      
Asp effect on survival, females, test site = UM
Log-rank test chisq = 2.7722 p = 0.0959
Wang-Allison test odds ratio = 0.5293 p = 0.5403
Quantiles Asp Control % difference
25% died before day: 744 772 -4 %
Median lifespan (days) 836 916 -9 %
75% died before day: 936 1005 -7 %
90% died before day: 1023 1111 -8 %
Max lifespan observed (days) 1175 1210
Number of mice at start 44 82
Animal censor events are denoted by + marks in the plot
UM – male
UM – male      
Asp effect on survival, males, test site = UM
Log-rank test chisq = 0.1284 p = 0.7201
Wang-Allison test odds ratio = 1.016 p = 1.0
Quantiles Asp Control % difference
25% died before day: 777 727 +7 %
Median lifespan (days) 889 864 +3 %
75% died before day: 998 995 0 %
90% died before day: 1118 1121 0 %
Max lifespan observed (days) 1256 1305
Number of mice at start 57 106
Animal censor events are denoted by + marks in the plot
UT – female
UT – female      
Asp effect on survival, females, test site = UT
Log-rank test chisq = 0.0651 p = 0.7985
Wang-Allison test odds ratio = 1.0 p = 1.0
Quantiles Asp Control % difference
25% died before day: 780 744 +5 %
Median lifespan (days) 874 880 -1 %
75% died before day: 971 994 -2 %
90% died before day: 1078 1076 0 %
Max lifespan observed (days) 1178 1188
Number of mice at start 48 96
Animal censor events are denoted by + marks in the plot
UT – male
UT – male      
Asp effect on survival, males, test site = UT
Log-rank test chisq = 4.3008 p = 0.0381
Wang-Allison test odds ratio = 1.8881 p = 0.2811
Quantiles Asp Control % difference
25% died before day: 649 592 +10 %
Median lifespan (days) 770 739 +4 %
75% died before day: 950 877 +8 %
90% died before day: 1068 988 +8 %
Max lifespan observed (days) 1200 1132
Number of mice at start 54 119
Animal censor events are denoted by + marks in the plot


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Statistical definitions