ITP survival analysis: aspirin
Results are based on the use of pooled factor(s) that is/are stratified within the survival analysis model.
All test sites combined – female
Survival analysis details -- Female
Asp_lo effect on survival,
females, test site = All
Log-rank test
chisq = 0.1032
p = 0.7481
Wang-Allison test
odds ratio = 0.8645
p = 0.7272
Quantiles
Asp_lo
Control
% difference
25% died before day:
740
764
-3 %
Median lifespan (days)
908
897
+1 %
75% died before day:
1013
1018
0 %
90% died before day:
1095
1109
-1 %
Max lifespan observed (days)
1233
1358
Number of mice at start
135
279
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
females, test site = All
Log-rank test
chisq = 0.0294
p = 0.8639
Wang-Allison test
odds ratio = 0.8847
p = 0.8638
Quantiles
Asp_hi
Control
% difference
25% died before day:
781
764
+2 %
Median lifespan (days)
906
897
+1 %
75% died before day:
1008
1018
-1 %
90% died before day:
1124
1109
+1 %
Max lifespan observed (days)
1319
1358
Number of mice at start
135
279
Animal censor events are denoted by + marks in the plot
All test sites combined – male
Survival analysis details -- Male
Asp_lo effect on survival,
males, test site = All
Log-rank test
chisq = 0.1084
p = 0.742
Wang-Allison test
odds ratio = 1.0369
p = 1.0
Quantiles
Asp_lo
Control
% difference
25% died before day:
625
638
-2 %
Median lifespan (days)
820
832
-1 %
75% died before day:
960
969
-1 %
90% died before day:
1083
1059
+2 %
Max lifespan observed (days)
1315
1272
Number of mice at start
151
273
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
males, test site = All
Log-rank test
chisq = 0.8274
p = 0.363
Wang-Allison test
odds ratio = 1.2351
p = 0.6057
Quantiles
Asp_hi
Control
% difference
25% died before day:
648
638
+2 %
Median lifespan (days)
836
832
0 %
75% died before day:
955
969
-1 %
90% died before day:
1076
1059
+2 %
Max lifespan observed (days)
1281
1272
Number of mice at start
140
273
Animal censor events are denoted by + marks in the plot
By individual test site:
TJL – female
TJL – female
Survival analysis details
Asp_lo effect on survival,
females, test site = TJL
Log-rank test
chisq = 0.1238
p = 0.7249
Wang-Allison test
odds ratio = 0.8107
p = 1.0
Quantiles
Asp_lo
Control
% difference
25% died before day:
833
782
+7 %
Median lifespan (days)
938
904
+4 %
75% died before day:
1013
1010
0 %
90% died before day:
1095
1099
0 %
Max lifespan observed (days)
1201
1358
Number of mice at start
47
96
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
females, test site = TJL
Log-rank test
chisq = 1.8448
p = 0.1744
Wang-Allison test
odds ratio = 3.4281
p = 0.0389
Quantiles
Asp_hi
Control
% difference
25% died before day:
814
782
+4 %
Median lifespan (days)
943
904
+4 %
75% died before day:
1043
1010
+3 %
90% died before day:
1147
1099
+4 %
Max lifespan observed (days)
1319
1358
Number of mice at start
48
96
Animal censor events are denoted by + marks in the plot
TJL – male
TJL – male
Survival analysis details
Asp_lo effect on survival,
males, test site = TJL
Log-rank test
chisq = 0.2275
p = 0.6334
Wang-Allison test
odds ratio = 1.1654
p = 0.7837
Quantiles
Asp_lo
Control
% difference
25% died before day:
658
572
+15 %
Median lifespan (days)
884
873
+1 %
75% died before day:
994
992
0 %
90% died before day:
1090
1068
+2 %
Max lifespan observed (days)
1315
1272
Number of mice at start
54
93
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
males, test site = TJL
Log-rank test
chisq = 0.0638
p = 0.8006
Wang-Allison test
odds ratio = 1.1103
p = 1.0
Quantiles
Asp_hi
Control
% difference
25% died before day:
630
572
+10 %
Median lifespan (days)
843
873
-3 %
75% died before day:
992
992
0 %
90% died before day:
1078
1068
+1 %
Max lifespan observed (days)
1281
1272
Number of mice at start
48
93
Animal censor events are denoted by + marks in the plot
UM – female
UM – female
Survival analysis details
Asp_lo effect on survival,
females, test site = UM
Log-rank test
chisq = 0.3284
p = 0.5666
Wang-Allison test
odds ratio = 0.8896
p = 1.0
Quantiles
Asp_lo
Control
% difference
25% died before day:
762
748
+2 %
Median lifespan (days)
900
884
+2 %
75% died before day:
1030
1016
+1 %
90% died before day:
1121
1139
-2 %
Max lifespan observed (days)
1233
1210
Number of mice at start
44
91
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
females, test site = UM
Log-rank test
chisq = 0.0543
p = 0.8158
Wang-Allison test
odds ratio = 0.5477
p = 0.5471
Quantiles
Asp_hi
Control
% difference
25% died before day:
742
748
-1 %
Median lifespan (days)
896
884
+1 %
75% died before day:
1008
1016
-1 %
90% died before day:
1129
1139
-1 %
Max lifespan observed (days)
1268
1210
Number of mice at start
43
91
Animal censor events are denoted by + marks in the plot
UM – male
UM – male
Survival analysis details
Asp_lo effect on survival,
males, test site = UM
Log-rank test
chisq = 0.0893
p = 0.7651
Wang-Allison test
odds ratio = 1.3539
p = 0.5736
Quantiles
Asp_lo
Control
% difference
25% died before day:
734
756
-3 %
Median lifespan (days)
848
894
-5 %
75% died before day:
1014
1009
0 %
90% died before day:
1129
1084
+4 %
Max lifespan observed (days)
1211
1206
Number of mice at start
48
84
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
males, test site = UM
Log-rank test
chisq = 0.0666
p = 0.7964
Wang-Allison test
odds ratio = 0.9016
p = 1.0
Quantiles
Asp_hi
Control
% difference
25% died before day:
721
756
-5 %
Median lifespan (days)
841
894
-6 %
75% died before day:
932
1009
-8 %
90% died before day:
1082
1084
0 %
Max lifespan observed (days)
1188
1206
Number of mice at start
41
84
Animal censor events are denoted by + marks in the plot
UT – female
UT – female
Survival analysis details
Asp_lo effect on survival,
females, test site = UT
Log-rank test
chisq = 2.5503
p = 0.1103
Wang-Allison test
odds ratio = 0.9007
p = 1.0
Quantiles
Asp_lo
Control
% difference
25% died before day:
652
768
-15 %
Median lifespan (days)
839
882
-5 %
75% died before day:
966
1046
-8 %
90% died before day:
1094
1109
-1 %
Max lifespan observed (days)
1174
1238
Number of mice at start
44
92
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
females, test site = UT
Log-rank test
chisq = 4.8155
p = 0.0282
Wang-Allison test
odds ratio = 0.1427
p = 0.0362
Quantiles
Asp_hi
Control
% difference
25% died before day:
788
768
+3 %
Median lifespan (days)
863
882
-2 %
75% died before day:
977
1046
-7 %
90% died before day:
1019
1109
-8 %
Max lifespan observed (days)
1147
1238
Number of mice at start
44
92
Animal censor events are denoted by + marks in the plot
UT – male
UT – male
Survival analysis details
Asp_lo effect on survival,
males, test site = UT
Log-rank test
chisq = 0.0477
p = 0.8272
Wang-Allison test
odds ratio = 0.6886
p = 0.774
Quantiles
Asp_lo
Control
% difference
25% died before day:
490
570
-14 %
Median lifespan (days)
687
743
-8 %
75% died before day:
849
892
-5 %
90% died before day:
940
977
-4 %
Max lifespan observed (days)
1228
1167
Number of mice at start
49
96
Animal censor events are denoted by + marks in the plot
Asp_hi effect on survival,
males, test site = UT
Log-rank test
chisq = 2.187
p = 0.1392
Wang-Allison test
odds ratio = 1.743
p = 0.3914
Quantiles
Asp_hi
Control
% difference
25% died before day:
583
570
+2 %
Median lifespan (days)
810
743
+9 %
75% died before day:
924
892
+4 %
90% died before day:
1047
977
+7 %
Max lifespan observed (days)
1201
1167
Number of mice at start
51
96
Animal censor events are denoted by + marks in the plot
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ITP data portal page for more information on
National Institute on Aging's Interventions Testing Program (ITP) including bibliography, data set downloads, and links to all available hosted data.
Statistical definitions