Stata Technical Bulletin
33
Takayama, N. 1979. Poverty, income inequality, and their measures: Professor Sen’s axiomatic approach reconsidered. Econometrica 47.
Thon, D. 1979. On measuring poverty. Review of Income and Wealth 2 5: 429-440.
sg109 Utility to convert binomial frequency records to frequency weighted data
Mario Cleves, Stata Corporation, [email protected]
[Editor’s note: There are no help files or ado-files for this insert as this is an undocumented command in Stata 6.]
Syntax
bitowt case#_var pop~var [if exp∖ [in range [, case (eewvareame) weight(ewvaamame) ]
Description
bitowt converts binomial frequency records to frequency weighted data. case#_'var specifies the variable containing the
number of cases represented by each observation and pop.var specifies the corresponding number of total subjects (cases plus
controls). This command will change the data in memory.
Options
case (eewarmame) specifies the name of a new binomial case-indicator variable containing 1 for cases and 0 for controls. If
case() is not specified, case(_case) is assumed.
weight (eewvareame) specifies the name of a variable that will contain frequency weights. If weight () is not specified,
weight (.weight) is assumed.
Remarks
bitowt is a utility that converts binomial frequency data to frequency weighted data. Binomial frequency data can be
directly analyzed with epitab’s cc, tabodds and mhodds commands, but has to be converted if other commands such as
poisson or logistic are to be used.
In each record of a binomial dataset there is a variable indicating the number of cases, a variable indicating the total number
of subjects (cases plus controls), and additional variables. For example, the following is a binomial dataset:
. list in 1/8
|
agegrp |
tobacco |
D |
N | |
|
1. |
25-34 |
0-9 |
0 |
140 |
|
2. |
25-34 |
10-19 |
2 |
38 |
|
3. |
25-34 |
20-29 |
0 |
22 |
|
4. |
25-34 |
30+ |
0 |
32 |
|
ε. |
35-44 |
0-9 |
4 |
218 |
|
6. |
35-44 |
10-19 |
8 |
92 |
|
7. |
35-44 |
20-29 |
6 |
54 |
|
8. |
35-44 |
30+ |
0 |
34 |
Each observation has a variable indicating the observed number of cases, D, out of N subjects in the corresponding age
group and tobacco-use stratum. That is, in the first observation, there are no cases out of 140 subjects age 25 to 34 who use 0
to 9 grams of tobacco per day. In the second observation, there are 2 cases out of 38 subjects age 25 to 34 who use 10 to 19
grams of tobacco per day, and so on.
We can use the cc, mhodds and tabodds commands directly on these data by specifying the binomial () option. The
data, however, needs to be converted to single record or frequency record data in order to use other Stata commands.
The bitowt command can convert our binomial data to frequency data.
. bitowt D N
. list agegrp tobacco .case .weight
|
agegrp |
tobacco |
_case |
.weight | |
|
1. |
25-34 |
0-9 |
0 |
140 |
|
2. |
25-34 |
0-9 |
1 |
0 |
|
3. |
25-34 |
10-19 |
0 |
36 |
|
4. |
25-34 |
10-19 |
1 |
2 |
|
5. |
25-34 |
20-29 |
0 |
22 |
|
6. |
25-34 |
20-29 |
1 |
0 |
|
7. |
25-34 |
30+ |
0 |
32 |
More intriguing information
1. THE WELFARE EFFECTS OF CONSUMING A CANCER PREVENTION DIET2. Commuting in multinodal urban systems: An empirical comparison of three alternative models
3. The name is absent
4. Opciones de política económica en el Perú 2011-2015
5. The name is absent
6. The name is absent
7. Outline of a new approach to the nature of mind
8. Performance - Complexity Comparison of Receivers for a LTE MIMO–OFDM System
9. The growing importance of risk in financial regulation
10. La mobilité de la main-d'œuvre en Europe : le rôle des caractéristiques individuelles et de l'hétérogénéité entre pays