Tabel 2.3
Koefisien Regresi Logistik dari Faktor-Faktor yang
Mempengaruhi Angka Kematian
Variable
Beta-
Coeft.
Variable
Beta-
Coeft.
Sex
Marital Status
female
ref
Currently Married
ref
male
0,394
Previously Married
0.173
Age
Never Married
0.252
20-24
1
Employment Status
25-29
-0.026
Employed
Ref
30-34
0.206
Unemployed
0.516
35-39
0.525
Not in the labor force
0.540
40-44
1.104
Physical Activity
45-49
1.284
More active
-0.231
50-54
1.794
About as active
Ref
55-59
2.236
Less active
0.314
60-64
2.736
Smoking Status
65-69
2.984
Current 2+
1.318
70-74
3.432
Current 1 - <2
0.945
75-79
3.770
Current <1
0.879
80-84
4.313
Former 2+
0.661
85+
4.959
Former 1 - <2
0.559
Body Mass Index
Former <1
0.174
Under weight
0.426
Never
ref
Normal
Ref
Drinking Status
Over weight
0.014
Abstain from drinking
-0.061
Obese class 1
0.046
Infrequent drinker
Ref
Obese class 2
0.211
Former drinker
0.195
Obese class 3
0.440
Current drinker
0.229
Education
Constant
-7.120
11 years or less
0.249
High School Degree
0.068
Any College
ref
Sumber: Combining Prevalence and Mortality Risk Rates, 2002
Selanjutnya nilai
angka
kematian
yang
diperoleh
dimasukkan ke
dalam
fungsi-fungsi standar
lain
dalam
life
table
seperti
yang
telah
dijelaskan pada subbab 2.2.1 guna menyusun sebuah personal life table.
2.5
Paradigma Rekayasa Piranti Lunak
Rekayasa piranti
lunak
menurut Fritz Bauer
(Pressman, 1992, p23) adalah
penetapan
dan pemakaian
prinsip-prinsip
rekayasa
dalam
rangka mendapatkan
 |