- #########################################################################
- ESR data, Example 1.7 in D. Collett, Modelling Binary Data,
Chapman &
- Hall, 1991
-
- Data on 32 patients from Institute of Medical Research, Kuala
Lumpur,
- Malaysia,
- correlating ESR with 2 plasma proteins, fibrogen and
gamma-globulin (both
- gm/l)
- response is ESR > 20 mm/h (0 is negative, 1 is
positive)
- ESR (erythrocyte sedimentation rate) is the rate at which red
blood cells
- (erythrocytes)
- settle out of suspension in blood plasma.
-
- variables = id, fibrogen, gamma-globulin, response
-
- 1 2.52 38 0
- 2 2.56 31 0
- 3 2.19 33 0
- 4 2.18 31 0
- 5 3.41 37 0
- 6 2.46 36 0
- 7 3.22 38 0
- 8 2.21 37 0
- 9 3.15 39 0
- 10 2.60 41 0
- 11 2.29 36 0
- 12 2.35 29 0
- 13 5.06 37 1
- 14 3.34 32 1
- 15 2.38 37 1
- 16 3.15 36 0
- 17 3.53 46 1
- 18 2.68 34 0
- 19 2.60 38 0
- 20 2.23 37 0
- 21 2.88 30 0
- 22 2.65 46 0
- 23 2.09 44 1
- 24 2.28 36 0
- 25 2.67 39 0
- 26 2.29 31 0
- 27 2.15 31 0
- 28 2.54 28 0
- 29 3.93 32 1
- 30 3.34 30 0
- 31 2.99 36 0
- 32 3.32 35 0
- #################################################################
-
- CAD Data, Data from Chapter 1, Table 1.1, of DW Hosmer, S
Lemeshow. Applied
- Logistic
- Regression 2nd Edition 2000. Variables are Age in years and
presence (1)
- or absence (0) of significant coronary artery disease for 100
patients.
-
- 20 0
- 23 0
- 24 0
- 25 0
- 25 1
- 26 0
- 26 0
- 28 0
- 28 0
- 29 0
- 30 0
- 30 0
- 30 0
- 30 0
- 30 0
- 30 1
- 32 0
- 32 0
- 33 0
- 33 0
- 34 0
- 34 0
- 34 1
- 34 0
- 34 0
- 35 0
- 35 0
- 36 0
- 36 1
- 36 0
- 37 0
- 37 1
- 37 0
- 38 0
- 38 0
- 39 0
- 39 1
- 40 0
- 40 1
- 41 0
- 41 0
- 42 0
- 42 0
- 42 0
- 42 1
- 43 0
- 43 0
- 43 1
- 44 0
- 44 0
- 44 1
- 44 1
- 45 0
- 45 1
- 46 0
- 46 1
- 47 0
- 47 0
- 47 1
- 48 0
- 48 1
- 48 1
- 49 0
- 49 0
- 49 1
- 50 0
- 50 1
- 51 0
- 52 0
- 52 1
- 53 1
- 53 1
- 54 1
- 55 0
- 55 1
- 55 1
- 56 1
- 56 1
- 56 1
- 57 0
- 57 0
- 57 1
- 57 1
- 57 1
- 57 1
- 58 0
- 58 1
- 58 1
- 59 1
- 59 1
- 60 0
- 60 1
- 61 1
- 62 1
- 62 1
- 63 1
- 64 0
- 64 1
- 65 1
- 69 1
-
- ##############################################################################
- BPD data
- Data for 223 low birth weight infants on the incidence of
bronchopulmonary
- dysplasia (bpd).
- >From Chapter 20 in M Pagano, K Gauvreau. Principles of
Biostatistics, 2nd
- ed. Duxbury 2000
- In addition to the response variable bpd, data are given for
birth weight
- in grams,
- gestational age in weeks, whether the mother experienced
toxemia during
- pregnancy, and
- whether the mother was administered steroids during the
pregnancy.
-
- variables = bpd, birth weight, gest. age, toxemia,
steroids
-
- 1 850 27 0 0
- 0 1500 33 0 0
- 1 1360 32 0 0
- 0 960 35 1 0
- 0 1560 33 0 0
- 0 1120 29 0 1
- 1 810 28 0 0
- 0 1620 32 0 0
- 1 1000 30 0 0
- 1 700 26 0 0
- 0 1330 31 0 0
- 0 1410 31 0 0
- 1 1520 31 0 0
- 1 910 29 0 1
- 0 1650 33 0 0
- 0 1460 32 0 0
- 1 1000 28 0 0
- 1 710 25 0 1
- 1 1220 28 0 0
- 1 820 28 0 0
- 0 1060 29 0 0
- 0 1240 30 0 0
- 0 1440 33 0 1
- 0 1470 32 0 0
- 0 790 29 0 1
- 1 910 29 0 1
- 0 1020 29 0 1
- 0 1340 28 0 0
- 0 1140 34 0 0
- 0 1450 34 0 1
- 1 1670 30 0 0
- 0 1690 33 0 0
- 0 950 31 0 0
- 1 810 29 0 0
- 1 730 27 1 0
- 1 730 26 0 0
- 1 650 30 0 1
- 0 900 26 0 0
- 0 1690 32 0 0
- 0 1200 28 0 1
- 1 700 26 0 1
- 1 750 29 0 0
- 1 1000 31 0 1
- 0 1500 31 0 1
- 1 1310 31 0 0
- 1 1310 31 0 0
- 1 990 29 0 0
- 1 910 28 0 0
- 0 1500 33 0 0
- 1 1030 27 0 0
- 1 1000 28 0 0
- 0 1300 30 0 0
- 0 1560 32 0 0
- 0 1040 29 0 1
- 1 760 27 0 1
- 0 740 28 1 1
- 1 930 28 0 0
- 1 860 28 0 0
- 1 880 30 0 1
- 1 860 29 0 1
- 0 930 30 0 1
- 0 850 30 0 1
- 0 890 27 0 0
- 1 1560 30 0 0
- 1 1560 32 0 0
- 0 880 31 1 1
- 0 1630 32 0 0
- 0 1550 32 0 0
- 0 1130 30 0 0
- 0 1180 30 0 0
- 0 936 27 1 0
- 0 1360 30 0 0
- 0 1000 27 0 0
- 0 1170 29 0 0
- 0 1160 30 0 1
- 0 1570 33 0 0
- 0 1540 33 0 0
- 0 890 28 0 1
- 0 1030 30 0 1
- 1 1200 30 0 0
- 1 650 26 0 0
- 0 1730 34 0 0
- 0 1370 33 0 0
- 0 1670 36 0 0
- 0 1530 34 0 0
- 1 1600 33 1 0
- 1 650 28 0 0
- 0 1530 33 0 0
- 0 1600 36 0 0
- 0 1510 33 0 0
- 0 1260 31 0 0
- 0 1320 31 0 0
- 0 1330 32 0 0
- 0 1720 32 0 0
- 0 1500 30 0 1
- 1 570 27 0 1
- 0 870 29 0 0
- 0 1320 30 0 0
- 1 1420 30 0 0
- 1 860 27 0 1
- 0 1500 31 0 1
- 0 1610 34 0 0
- 1 1600 33 0 0
- 0 1310 29 0 1
- 1 1580 30 0 0
- 1 1060 29 0 1
- 1 890 26 0 1
- 1 870 30 0 1
- 0 820 29 1 0
- 0 1700 32 0 1
- 1 800 26 0 0
- 1 1020 28 0 0
- 0 1180 31 1 1
- 1 700 25 1 0
- 0 790 29 0 1
- 1 850 27 0 0
- 0 1400 32 0 0
- 0 1280 32 0 1
- 0 1190 32 1 0
- 1 880 28 0 0
- 1 930 30 0 1
- 0 1040 33 0 0
- 0 1030 32 0 0
- 0 1350 33 1 0
- 1 1030 26 0 0
- 1 550 25 1 0
- 0 1070 33 0 0
- 0 1490 30 0 0
- 0 1000 29 0 0
- 0 1530 31 0 1
- 1 760 26 0 0
- 0 1470 33 0 0
- 1 990 29 0 1
- 1 860 30 0 1
- 1 870 29 0 1
- 1 1050 29 1 0
- 1 1040 28 0 0
- 0 1400 29 1 1
- 0 730 31 0 0
- 0 1240 34 0 0
- 0 1000 29 0 1
- 0 1660 31 0 0
- 1 1060 30 0 0
- 0 1050 28 0 0
- 0 1520 31 1 0
- 1 820 26 0 0
- 0 1380 32 1 0
- 0 1250 32 0 0
- 0 1020 32 1 1
- 0 1200 30 0 0
- 0 1260 30 0 0
- 0 1120 30 0 1
- 1 1350 31 0 0
- 0 1330 30 0 1
- 0 1340 30 1 1
- 0 1590 30 1 1
- 0 1370 33 0 1
- 0 1650 33 0 0
- 0 1550 33 1 1
- 1 770 26 0 1
- 1 870 28 0 0
- 0 1120 31 1 1
- 1 820 26 0 0
- 1 450 28 1 0
- 0 520 28 1 1
- 1 850 30 0 1
- 0 1230 32 1 1
- 0 1520 33 0 0
- 0 1370 32 0 1
- 0 1430 30 0 0
- 0 980 29 0 0
- 0 1090 28 0 0
- 0 1720 32 0 1
- 0 1350 28 0 0
- 1 910 29 0 1
- 1 860 28 0 1
- 0 1720 30 0 0
- 1 750 27 0 0
- 0 740 27 0 1
- 1 900 29 0 0
- 0 820 28 0 0
- 0 960 29 0 1
- 0 1020 33 0 1
- 0 1150 32 0 0
- 0 1040 29 1 0
- 0 1280 32 0 0
- 0 1090 29 0 0
- 0 1110 28 0 0
- 0 1430 29 0 1
- 0 1600 34 0 0
- 0 1630 32 0 0
- 0 1670 31 1 0
- 1 840 30 0 0
- 0 1420 32 0 1
- 0 1560 37 0 1
- 0 1500 29 0 0
- 0 1020 28 0 1
- 0 1650 32 0 0
- 0 1180 32 0 0
- 0 1100 28 0 1
- 0 1410 30 0 0
- 0 1720 34 0 1
- 0 1070 30 0 0
- 0 1200 29 0 0
- 0 1680 30 0 0
- 1 845 26 0 1
- 0 1340 29 0 0
- 0 800 34 0 0
- 0 970 31 1 0
- 0 950 31 0 1
- 0 1560 36 0 1
- 1 840 31 0 1
- 0 1400 30 0 1
- 1 665 27 0 1
- 0 1600 31 0 0
- 0 1680 32 0 0
- 0 1640 31 1 0
- 0 1120 28 1 1
- 1 700 27 0 0
- 0 1380 33 0 0
- 0 990 30 0 1
- 0 1220 29 0 0
- 0 1480 32 0 0
-
-
- ############################################################################
- ###
-
- *--------------------------------------------------------------------*;
- * Program: /jml/biostatmethods/chapter7/renal.sas
*;
- * Source: Biostatistical Methods: The assessment of Relative
Risks *;
- * John Wiley and Sons, 2000
*;
- * Author: John M. Lachin <jml@biostat.bsc.gwu.edu>
*;
- * Copyright (c) 2000 by John M. Lachin
*;
- * Purpose: The data set presented in Table 7.5
*;
- * for the analysis of a subset of the DCCT
nephropathy *;
- * data used in Example 7.4.
*;
- * Web URL: http://www.bsc.gwu.edu/jml/biostatmethods
*;
- *--------------------------------------------------------------------*;
-
- 'DCCT nephropathy prevalence at 6 years in the cohort with
high baseline AER';
- DCCT = Diabetes Control and Complications Trial
- AER = Albumin excretion rate
- N = 172
-
- variables:
-
- observation number
- microalbuminuria at 6 years (1=present, 0=absent)
- treatment group (1 = intensive, 0 = conventional)
- baseline level of HbA1c (%)
- duration of diabetes in months
- systolic blood pressure (mmHg)
- sex (1=female, 0=male)
-
-
-
- 1 0 1 9.63 178 104 1
- 2 0 0 7.93 175 112 0
- 3 1 0 11.20 126 110 1
- 4 1 0 10.88 116 106 0
- 5 0 0 8.22 168 110 1
- 6 1 1 12.73 71 112 0
- 7 0 0 8.28 107 116 1
- 8 0 1 9.44 79 120 1
- 9 0 0 7.44 176 120 1
- 10 0 0 8.33 47 140 0
- 11 1 1 9.89 135 126 1
- 12 0 1 12.06 117 120 0
- 13 0 1 9.01 35 128 1
- 14 0 1 10.05 82 110 1
- 15 1 1 9.60 70 108 1
- 16 0 1 10.17 159 121 1
- 17 0 1 10.67 43 110 0
- 18 0 1 8.52 142 118 0
- 19 1 0 8.13 99 124 1
- 20 0 0 8.27 105 98 1
- 21 1 0 8.60 126 126 0
- 22 1 0 9.83 139 116 0
- 23 0 0 8.04 97 118 0
- 24 0 1 9.38 113 100 0
- 25 1 0 10.72 115 110 0
- 26 0 1 7.85 48 114 0
- 27 0 1 9.72 151 118 0
- 28 0 0 7.80 19 110 0
- 29 0 0 8.96 84 108 1
- 30 0 1 8.96 80 124 0
- 31 0 1 7.09 109 130 1
- 32 0 1 8.20 90 130 0
- 33 0 1 8.81 92 104 1
- 34 0 1 8.28 112 120 1
- 35 0 1 11.95 38 104 1
- 36 0 0 14.37 147 122 1
- 37 1 0 7.72 119 128 0
- 38 0 1 9.99 119 120 1
- 39 1 1 9.67 180 116 0
- 40 0 1 7.26 16 110 0
- 41 0 1 7.80 154 130 0
- 42 0 0 10.23 124 108 1
- 43 1 0 11.77 57 120 1
- 44 0 0 9.56 44 126 0
- 45 1 0 12.38 96 110 1
- 46 0 0 10.94 99 100 1
- 47 0 1 9.56 143 130 0
- 48 0 1 8.27 116 115 0
- 49 0 0 9.70 56 108 0
- 50 0 0 7.36 168 96 1
- 51 0 0 8.03 162 118 0
- 52 0 0 8.82 114 124 1
- 53 0 0 7.28 157 104 0
- 54 1 1 10.70 135 92 0
- 55 0 1 9.40 77 124 1
- 56 0 1 11.03 165 120 0
- 57 0 1 8.62 142 98 1
- 58 0 1 7.01 71 120 0
- 59 1 0 12.22 67 102 1
- 60 0 1 8.22 147 120 0
- 61 1 0 10.55 101 116 0
- 62 0 1 9.66 78 90 1
- 63 0 0 10.13 77 110 1
- 64 1 0 9.44 84 118 0
- 65 0 0 9.61 167 126 1
- 66 0 1 8.78 137 110 0
- 67 0 0 7.34 173 144 0
- 68 0 0 9.10 177 100 1
- 69 0 1 7.44 113 136 1
- 70 0 1 9.35 59 118 0
- 71 1 1 7.36 138 148 0
- 72 0 0 8.09 146 114 1
- 73 0 1 9.60 147 122 1
- 74 1 0 9.63 131 118 0
- 75 1 0 8.19 107 120 0
- 76 0 0 6.72 116 112 0
- 77 0 1 9.77 67 124 1
- 78 0 1 7.86 99 130 0
- 79 1 0 10.02 157 124 0
- 80 0 0 9.98 105 106 0
- 81 0 1 7.89 172 110 1
- 82 0 0 7.50 133 118 0
- 83 0 0 7.74 135 90 1
- 84 0 0 8.54 146 104 1
- 85 0 1 11.07 82 122 1
- 86 1 1 10.23 84 104 1
- 87 1 0 8.11 55 128 0
- 88 0 1 10.84 84 138 0
- 89 1 0 9.32 170 110 1
- 90 0 1 10.75 102 118 1
- 91 0 0 8.22 97 116 0
- 92 0 1 9.70 131 110 1
- 93 0 1 9.11 145 126 0
- 94 0 1 9.29 129 114 0
- 95 0 1 8.33 122 118 1
- 96 1 1 11.09 27 104 0
- 97 0 1 8.98 112 112 1
- 98 1 0 10.56 97 120 0
- 99 0 1 8.16 166 118 1
- 100 0 1 8.08 172 92 1
- 101 1 0 10.44 72 128 1
- 102 0 1 8.07 109 118 1
- 103 1 1 7.50 147 114 0
- 104 1 1 8.49 168 122 1
- 105 0 0 10.52 35 120 0
- 106 0 1 9.49 154 110 0
- 107 0 1 12.40 119 112 1
- 108 0 1 8.49 173 98 1
- 109 0 1 9.79 35 94 1
- 110 0 0 7.44 104 114 0
- 111 0 1 8.22 133 112 0
- 112 0 0 7.18 17 108 0
- 113 0 1 9.29 132 118 0
- 114 0 0 9.26 151 118 1
- 115 0 0 10.16 96 122 0
- 116 0 1 7.09 153 118 0
- 117 0 1 8.10 163 116 1
- 118 1 0 10.54 46 130 0
- 119 0 0 9.23 70 112 1
- 120 0 0 10.07 112 110 1
- 121 1 0 8.87 138 132 0
- 122 0 1 7.95 55 122 0
- 123 0 0 6.66 141 112 0
- 124 1 0 8.77 168 112 0
- 125 0 0 9.07 111 124 1
- 126 0 1 8.98 116 100 0
- 127 0 1 8.89 33 118 0
- 128 0 1 10.94 88 110 0
- 129 0 1 8.50 118 125 0
- 130 1 0 12.34 122 110 1
- 131 0 1 12.45 117 98 1
- 132 1 0 8.82 130 140 0
- 133 0 1 10.78 120 110 0
- 134 0 1 8.25 143 102 0
- 135 0 0 9.48 135 120 0
- 136 0 0 8.74 155 136 0
- 137 0 1 7.43 145 112 0
- 138 0 1 7.94 112 140 0
- 139 0 0 11.31 101 120 1
- 140 1 0 10.12 110 120 0
- 141 0 1 7.36 165 130 0
- 142 0 1 9.17 154 118 1
- 143 0 1 8.59 163 132 0
- 144 1 0 8.07 93 126 0
- 145 0 1 10.28 104 118 0
- 146 0 0 8.00 84 110 1
- 147 0 1 8.10 63 108 0
- 148 0 0 10.60 163 132 0
- 149 0 0 7.60 76 124 0
- 150 0 1 9.50 152 126 1
- 151 0 0 10.30 125 102 0
- 152 0 1 8.80 127 120 1
- 153 1 0 9.30 136 114 1
- 154 0 1 10.00 175 128 0
- 155 0 0 9.10 140 118 1
- 156 1 1 12.50 91 120 0
- 157 0 0 9.70 132 106 1
- 158 1 0 11.80 157 128 0
- 159 0 1 7.00 64 126 0
- 160 0 1 9.00 141 114 0
- 161 0 1 8.00 46 131 0
- 162 1 0 12.50 99 116 1
- 163 1 0 7.10 89 114 0
- 164 0 0 8.60 139 130 1
- 165 0 1 12.20 76 106 1
- 166 0 1 11.70 118 110 1
- 167 1 0 11.30 99 122 1
- 168 0 0 6.80 41 104 1
- 169 0 0 10.60 82 106 1
- 170 0 1 8.70 101 98 1
- 171 0 0 7.90 136 126 0
- 172 0 0 10.10 127 124 0
-
- ############################################################################
- #######
- Prostate Cancer Data
- Data from D. Collett, Modelling Binary Data, Chapman &
Hall, 1991 Table 1.9
- Downloaded from John Lachin's website
- (http://www.bsc.gwu.edu/jml/biostatmethods).
- Data are for 53 patients presenting with prostate cancer who
had also
- undergone
- a laparotomy to assess whether the disease had metastasized to
the lymph
- nodes.
- Variables: case number, age in years, level of serum acid
phosphatase (in King-Armstrong units), xray results (0=negative,
1=positive), size of the tumor from
- rectal exam (0=small, 1=large), severity of tumor grade from
biopsy (0=less, 1=more),
- nodal involvement (0 = absent, 1 = present).
-
- 1 66 .48 0 0 0 0
- 2 68 .56 0 0 0 0
- 3 66 .50 0 0 0 0
- 4 56 .52 0 0 0 0
- 5 58 .50 0 0 0 0
- 6 60 .49 0 0 0 0
- 7 65 .46 1 0 0 0
- 8 60 .62 1 0 0 0
- 9 50 .56 0 0 1 1
- 10 49 .55 1 0 0 0
- 11 61 .62 0 0 0 0
- 12 58 .71 0 0 0 0
- 13 51 .65 0 0 0 0
- 14 67 .67 1 0 1 1
- 15 67 .47 0 0 1 0
- 16 51 .49 0 0 0 0
- 17 56 .50 0 0 1 0
- 18 60 .78 0 0 0 0
- 19 52 .83 0 0 0 0
- 20 56 .98 0 0 0 0
- 21 67 .52 0 0 0 0
- 22 63 .75 0 0 0 0
- 23 59 .99 0 0 1 1
- 24 64 1.87 0 0 0 0
- 25 61 1.36 1 0 0 1
- 26 56 .82 0 0 0 1
- 27 64 .40 0 1 1 0
- 28 61 .50 0 1 0 0
- 29 64 .50 0 1 1 0
- 30 63 .40 0 1 0 0
- 31 52 .55 0 1 1 0
- 32 66 .59 0 1 1 0
- 33 58 .48 1 1 0 1
- 34 57 .51 1 1 1 1
- 35 65 .49 0 1 0 1
- 36 65 .48 0 1 1 0
- 37 59 .63 1 1 1 0
- 38 61 1.02 0 1 0 0
- 39 53 .76 0 1 0 0
- 40 67 .95 0 1 0 0
- 41 53 .66 0 1 1 0
- 42 65 .84 1 1 1 1
- 43 50 .81 1 1 1 1
- 44 60 .76 1 1 1 1
- 45 45 .70 0 1 1 1
- 46 56 .78 1 1 1 1
- 47 46 .70 0 1 0 1
- 48 67 .67 0 1 0 1
- 49 63 .82 0 1 0 1
- 50 57 .67 0 1 1 1
- 51 51 .72 1 1 0 1
- 52 64 .89 1 1 0 1
- 53 68 1.26 1 1 1 1
-
-
- ########################################################################
-
- DIABETES data set - from SAS online data
- http://ftp.sas.com/samples/A55201
- Logistic Regression Examples Using the SAS System, Version 6,
-
- id = 'Patient number'
- relwt = 'Relative weight'
- glufast = 'Fasting Plasma Glucose'
- glutest = 'Test Plasma Glucose'
- instest = 'Plasma Insulin during Test'
- sspg = 'Steady State Plasma Glucose'
- group = 'Clinical Group';
-
-
- 1 0.81 80 356 124 55 1
- 2 0.95 97 289 117 76 1
- 3 0.94 105 319 143 105 1
- 4 1.04 90 356 199 108 1
- 5 1.00 90 323 240 143 1
- 6 0.76 86 381 157 165 1
- 7 0.91 100 350 221 119 1
- 8 1.10 85 301 186 105 1
- 9 0.99 97 379 142 98 1
- 10 0.78 97 296 131 94 1
- 11 0.90 91 353 221 53 1
- 12 0.73 87 306 178 66 1
- 13 0.96 78 290 136 142 1
- 14 0.84 90 371 200 93 1
- 15 0.74 86 312 208 68 1
- 16 0.98 80 393 202 102 1
- 17 1.10 90 364 152 76 1
- 18 0.85 99 359 185 37 1
- 19 0.83 85 296 116 60 1
- 20 0.93 90 345 123 50 1
- 21 0.95 90 378 136 47 1
- 22 0.74 88 304 134 50 1
- 23 0.95 95 347 184 91 1
- 24 0.97 90 327 192 124 1
- 25 0.72 92 386 279 74 1
- 26 1.11 74 365 228 235 1
- 27 1.20 98 365 145 158 1
- 28 1.13 100 352 172 140 1
- 29 1.00 86 325 179 145 1
- 30 0.78 98 321 222 99 1
- 31 1.00 70 360 134 90 1
- 32 1.00 99 336 143 105 1
- 33 0.71 75 352 169 32 1
- 34 0.76 90 353 263 165 1
- 35 0.89 85 373 174 78 1
- 36 0.88 99 376 134 80 1
- 37 1.17 100 367 182 54 1
- 38 0.85 78 335 241 175 1
- 39 0.97 106 396 128 80 1
- 40 1.00 98 277 222 186 1
- 41 1.00 102 378 165 117 1
- 42 0.89 90 360 282 160 1
- 43 0.98 94 291 94 71 1
- 44 0.78 80 269 121 29 1
- 45 0.74 93 318 73 42 1
- 46 0.91 86 328 106 56 1
- 47 0.95 85 334 118 122 1
- 48 0.95 96 356 112 73 1
- 49 1.03 88 291 157 122 1
- 50 0.87 87 360 292 128 1
- 51 0.87 94 313 200 233 1
- 52 1.17 93 306 220 132 1
- 53 0.83 86 319 144 138 1
- 54 0.82 86 349 109 83 1
- 55 0.86 96 332 151 109 1
- 56 1.01 86 323 158 96 1
- 57 0.88 89 323 73 52 1
- 58 0.75 83 351 81 42 1
- 59 0.99 98 478 151 122 2
- 60 1.12 100 398 122 176 1
- 61 1.09 110 426 117 118 1
- 62 1.02 88 439 208 244 2
- 63 1.19 100 429 201 194 2
- 64 1.06 80 333 131 136 1
- 65 1.20 89 472 162 257 2
- 66 1.05 91 436 148 167 2
- 67 1.18 96 418 130 153 1
- 68 1.01 95 391 137 248 1
- 69 0.91 82 390 375 273 1
- 70 0.81 84 416 146 80 1
- 71 1.10 90 413 344 270 2
- 72 1.03 100 385 192 180 1
- 73 0.97 86 393 115 85 1
- 74 0.96 93 376 195 106 1
- 75 1.10 107 403 267 254 1
- 76 1.07 112 414 281 119 1
- 77 1.08 94 426 213 177 2
- 78 0.95 93 364 156 159 1
- 79 0.74 93 391 221 103 1
- 80 0.84 90 356 199 59 1
- 81 0.89 99 398 76 108 1
- 82 1.11 93 393 490 259 1
- 83 1.19 85 425 143 204 2
- 84 1.18 89 318 73 220 1
- 85 1.06 96 465 237 111 2
- 86 0.95 111 558 748 122 2
- 87 1.06 107 503 320 253 2
- 88 0.98 114 540 188 211 2
- 89 1.16 101 469 607 271 2
- 90 1.18 108 486 297 220 2
- 91 1.20 112 568 232 276 2
- 92 1.08 105 527 480 233 2
- 93 0.91 103 537 622 264 2
- 94 1.03 99 466 287 231 2
- 95 1.09 102 599 266 268 2
- 96 1.05 110 477 124 60 2
- 97 1.20 102 472 297 272 2
- 98 1.05 96 456 326 235 2
- 99 1.10 95 517 564 206 2
- 100 1.12 112 503 408 300 2
- 101 0.96 110 522 325 286 2
- 102 1.13 92 476 433 226 2
- 103 1.07 104 472 180 239 2
- 104 1.10 75 455 392 242 2
- 105 0.94 92 442 109 157 2
- 106 1.12 92 541 313 267 2
- 107 0.88 92 580 132 155 2
- 108 0.93 93 472 285 194 2
- 109 1.16 112 562 139 198 2
- 110 0.94 88 423 212 156 2
- 111 0.91 114 643 155 100 2
- 112 0.83 103 533 120 135 2
- 113 0.92 300 1468 28 455 3
- 114 0.86 303 1487 23 327 3
- 115 0.85 125 714 232 279 3
- 116 0.83 280 1470 54 382 3
- 117 0.85 216 1113 81 378 3
- 118 1.06 190 972 87 374 3
- 119 1.06 151 854 76 260 3
- 120 0.92 303 1364 42 346 3
- 121 1.20 173 832 102 319 3
- 122 1.04 203 967 138 351 3
- 123 1.16 195 920 160 357 3
- 124 1.08 140 613 131 248 3
- 125 0.95 151 857 145 324 3
- 126 0.86 275 1373 45 300 3
- 127 0.90 260 1133 118 300 3
- 128 0.97 149 849 159 310 3
- 129 1.16 233 1183 73 458 3
- 130 1.12 146 847 103 339 3
- 131 1.07 124 538 460 320 3
- 132 0.93 213 1001 42 297 3
- 133 0.85 330 1520 13 303 3
- 134 0.81 123 557 130 152 3
- 135 0.98 130 670 44 167 3
- 136 1.01 120 636 314 220 3
- 137 1.19 138 741 219 209 3
- 138 1.04 188 958 100 351 3
- 139 1.06 339 1354 10 450 3
- 140 1.03 265 1263 83 413 3
- 141 1.05 353 1428 41 480 3
- 142 0.91 180 923 77 150 3
- 143 0.90 213 1025 29 209 3
- 144 1.11 328 1246 124 442 3
- 145 0.74 346 1568 15 253 3