Datasets:
Melissa Higa
Melissa-Higa/
MGUS-Surveillance-Dynamic
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# id age sex dxyr pcdx alb creat hgb mspike stop status event start enum
1 1 1 78 female 68 NA 2.8 1.2 11.5 2 748 1 death 0 1
2 2 2 73 female 66 LP NA NA NA 1.3 1310 1 pcm 0 1
3 3 2 73 female 66 LP NA NA NA 1.3 6751 1 death 1310 2
4 4 3 87 male 68 NA 2.2 1.1 11.2 1.3 277 1 death 0 1
5 5 4 86 male 69 NA 2.8 1.3 15.3 1.8 1815 1 death 0 1
6 6 5 74 female 68 NA 3 0.8 9.8 1.4 2587 1 death 0 1
7 7 6 81 male 68 NA 2.9 0.9 11.5 1.8 563 1 death 0 1
8 8 7 72 female 68 NA 3 0.8 13.5 1.3 1135 1 death 0 1
9 9 8 79 female 69 NA 3.1 0.8 15.5 1.4 2016 1 death 0 1
10 10 9 85 female 70 NA 3.2 1 12.4 1.5 2422 1 death 0 1
11 11 10 58 male 65 NA 3.5 1 14.8 2.2 6155 1 death 0 1
12 12 11 79 male 62 NA 3.7 NA 10.6 2.1 1767 1 death 0 1
13 13 12 78 male 68 NA 2.1 2 12.7 1.5 61 1 death 0 1
14 14 13 83 male 64 NA 2.7 NA 12.8 1.8 60 1 death 0 1
15 15 14 66 male 69 NA 3.2 1.3 15.3 1.9 8918 1 death 0 1
16 16 15 80 male 69 NA 3.1 NA 14.5 1.8 8309 1 death 0 1
17 17 16 57 female 66 AM 3.4 0.8 12.2 1.9 6126 1 pcm 0 1
18 18 16 57 female 66 AM 3.4 0.8 12.2 1.9 7921 1 death 6126 2
19 19 17 54 female 68 MM 3 1.1 11.1 2 3585 1 pcm 0 1
20 20 17 54 female 68 MM 3 1.1 11.1 2 5231 1 death 3585 2
21 21 18 71 male 67 NA 3.2 0.9 13.5 1.5 5392 1 death 0 1
22 22 19 72 female 69 MM 3.1 1.2 14.3 1.8 5925 1 pcm 0 1
23 23 19 72 female 69 MM 3.1 1.2 14.3 1.8 6415 1 death 5925 2
24 24 20 59 female 70 AM 3.5 0.8 14.6 1.3 6777.5 1 pcm 0 1
25 25 20 59 female 70 AM 3.5 0.8 14.6 1.3 6778 1 death 6777.5 2
26 26 21 72 male 59 MM 2.8 1.4 12.5 1.7 3561 1 pcm 0 1
27 27 21 72 male 59 MM 2.8 1.4 12.5 1.7 4505 1 death 3561 2
28 28 22 62 female 67 MM 2.8 0.9 12.3 1.7 3991 1 pcm 0 1
29 29 22 62 female 67 MM 2.8 0.9 12.3 1.7 4726 1 death 3991 2
30 30 23 68 male 69 NA 3 1 15.3 1.7 5550 1 death 0 1
31 31 24 77 female 70 NA 3 0.8 12.7 1.3 5216 1 death 0 1
32 32 25 69 female 69 NA 3.1 0.9 14.9 1.8 5757 1 death 0 1
33 33 26 75 male 70 NA 3.7 0.9 14.6 2.3 2339 1 death 0 1
34 34 27 72 female 65 NA 3.5 0.8 11.3 2.7 6931 1 death 0 1
35 35 28 62 female 69 NA 3 1.1 14.3 2.1 6760 1 death 0 1
36 36 29 74 female 70 NA 4 0.9 13.6 1.8 5796 1 death 0 1
37 37 30 76 female 66 MM 3.3 0.7 11.7 1.5 4791 1 pcm 0 1
38 38 30 76 female 66 MM 3.3 0.7 11.7 1.5 5143 1 death 4791 2
39 39 31 55 male 61 MA NA NA 9.8 1.1 5945 1 pcm 0 1
40 40 31 55 male 61 MA NA NA 9.8 1.1 6166 1 death 5945 2
41 41 32 73 female 73 MM 3.3 0.7 13.7 0.9 700 1 pcm 0 1
42 42 32 73 female 73 MM 3.3 0.7 13.7 0.9 1706 1 death 700 2
43 43 33 60 male 64 NA NA NA 14.6 1.1 5127 1 death 0 1
44 44 34 62 female 72 MM 3.8 0.7 12.8 1.8 954 1 pcm 0 1
45 45 34 62 female 72 MM 3.8 0.7 12.8 1.8 2476 1 death 954 2
46 46 35 58 male 68 NA 3.4 0.9 11.8 1.6 1711 1 death 0 1
47 47 36 64 female 70 NA 3.7 NA 13.7 1.8 11865 0 censor 0 1
48 48 37 66 female 63 NA 3.3 NA 12.5 3.2 1857 1 death 0 1
49 49 38 55 female 63 MM 3.8 0.8 12.5 1.9 9510 1 pcm 0 1
50 50 38 55 female 63 MM 3.8 0.8 12.5 1.9 9603 1 death 9510 2
51 51 39 76 male 69 NA 2.6 1.1 10.4 1.7 31 1 death 0 1
52 52 40 73 female 70 NA 3.3 0.9 13.7 2 8552 1 death 0 1
53 53 41 76 female 70 NA 3.3 0.9 13.3 2.3 2006 1 death 0 1
54 54 42 68 female 63 MM 3.6 1 11.8 1.8 2618 1 pcm 0 1
55 55 42 68 female 63 MM 3.6 1 11.8 1.8 2970 1 death 2618 2
56 56 43 60 female 66 NA 3.2 NA 13.7 1.7 13152 1 death 0 1
57 57 44 70 male 69 NA 2.6 1.1 10.7 1.7 3924 1 death 0 1
58 58 45 66 male 67 MM 3.5 1.2 12.8 1.4 4198 1 pcm 0 1
59 59 45 66 male 67 MM 3.5 1.2 12.8 1.4 5293 1 death 4198 2
60 60 46 66 male 65 NA 3.4 NA 12.4 1.8 283 1 death 0 1
61 61 47 81 male 67 NA 2.2 0.6 12.6 1.1 2223 1 death 0 1
62 62 48 61 female 67 NA 3.7 1.7 11.7 1.8 4249 1 death 0 1
63 63 49 80 female 70 NA 3.5 0.8 14.3 1.7 5308 1 death 0 1
64 64 50 73 female 65 NA 3.3 0.8 12.2 2 8327 1 death 0 1
65 65 51 66 female 66 NA 3.3 NA 10.2 1.7 499 1 death 0 1
66 66 52 77 male 70 NA 3.5 1.6 13.5 1.5 5779 1 death 0 1
67 67 53 46 female 70 NA 4.3 0.8 13.7 1.6 11719 0 censor 0 1
68 68 54 59 female 67 LP 3 0.8 11.1 1.5 2618 1 pcm 0 1
69 69 54 59 female 67 LP 3 0.8 11.1 1.5 2651 1 death 2618 2
70 70 55 58 female 60 MM 3.3 0.8 12.4 1.8 10359 1 pcm 0 1
71 71 55 58 female 60 MM 3.3 0.8 12.4 1.8 10852 1 death 10359 2
72 72 56 58 male 70 NA 3.6 1 14.9 2.4 362 1 death 0 1
73 73 57 54 male 63 NA 3.6 1.2 13.6 1.2 12931 1 death 0 1
74 74 58 64 male 66 MM 3.2 1 15 2 1795 1 pcm 0 1
75 75 58 64 male 66 MM 3.2 1 15 2 3562 1 death 1795 2
76 76 59 73 male 60 MM 3.3 1.3 13.7 1.1 4139 1 pcm 0 1
77 77 59 73 male 60 MM 3.3 1.3 13.7 1.1 4826 1 death 4139 2
78 78 60 68 male 70 NA NA 1 13.3 1.6 4961 1 death 0 1
79 79 61 77 male 70 NA NA 1.5 12.6 1.9 547 1 death 0 1
80 80 62 73 female 70 NA 3.8 1 12.6 2.6 4133 1 death 0 1
81 81 63 44 female 67 NA 3.4 0.8 13.3 2.2 13019 0 censor 0 1
82 82 64 84 male 63 NA 3.6 1.1 13.9 1.8 1674 1 death 0 1
83 83 65 48 male 67 MM NA NA 13.4 2.3 2953 1 pcm 0 1
84 84 65 48 male 67 MM NA NA 13.4 2.3 3786 1 death 2953 2
85 85 66 69 male 68 NA 3.3 1 13 1.8 1369 1 death 0 1
86 86 67 59 female 69 NA 3 2.6 12.7 1.9 8421 1 death 0 1
87 87 68 58 female 59 MM NA 1.1 15.3 2 7519 1 pcm 0 1
88 88 68 58 female 59 MM NA 1.1 15.3 2 9318 1 death 7519 2
89 89 69 67 female 70 NA NA 0.9 15 0.8 4370 1 death 0 1
90 90 70 61 male 70 NA 2.9 0.9 15.7 1.3 7817 1 death 0 1
91 91 71 50 female 66 MM 3.2 0.7 11 2.1 1642 1 pcm 0 1
92 92 71 50 female 66 MM 3.2 0.7 11 2.1 4169 1 death 1642 2
93 93 72 48 male 70 NA 3.7 0.7 15.7 1.8 9618 1 death 0 1
94 94 73 72 male 70 NA 3.9 NA 16.5 1.8 6132 1 death 0 1
95 95 74 52 male 69 MM 3.6 1.1 16.5 1.6 4534 1 pcm 0 1
96 96 74 52 male 69 MM 3.6 1.1 16.5 1.6 7235 1 death 4534 2
97 97 75 59 male 70 NA 3.6 0.7 12.7 1.8 6727 1 death 0 1
98 98 76 58 male 66 NA 3.6 0.9 12.6 1.5 7428 1 death 0 1
99 99 77 65 male 70 AM 3.6 1 12.6 1.7 2106 1 pcm 0 1
100 100 77 65 male 70 AM 3.6 1 12.6 1.7 4071 1 death 2106 2