Forum: Child Health
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Topic: Child vaccination
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Child vaccination [message #29040] |
Wed, 17 April 2024 00:24 |
shruti.acharya
Messages: 3 Registered: September 2023
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I am new to NFHS data as well as STATA. I am trying to understand the association of socio-demographic factors with childhood immunization status (which in my case is a categorical outcome with 3 categories). I am using multinomial logistic regression on STATA using the following code :
mlogit vacc_status(i.sex i.birth_order) (i.Wealth i.religion i.caste i.household_size i.v106) (i.media_exposure i.age_firstbirth )
I have recoded the variables for better identification. I wanted to know if I need to use the "svyset linearized" everytime I run my regression on STATA, and also whether I am doing it correctly.
Thanks in advance !
S Acharya
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Forum: Reproductive Health
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Topic: Contraceptive calendar
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Forum: Domestic Violence
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Topic: IPV InTANZANIA 2022
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Re: IPV InTANZANIA 2022 [message #29045 is a reply to message #28535] |
Wed, 17 April 2024 04:53 |
Vincent Odhiambo
Messages: 2 Registered: October 2023
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Member |
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Good morning. I am interested in coming up with one composite variable from Tanzania demographic and health survey using TZIR82DT 2022 dataset. Kindly help with the set of variables that would describe economic abuse/violence and the syntax. Thank you in advance
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Forum: India
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Topic: Zero Food Children
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Re: Zero Food Children [message #29048 is a reply to message #29039] |
Wed, 17 April 2024 07:14 |
Bridgette-DHS
Messages: 3032 Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS staff member, Tom Pullum:
Yes, I see that for age 0-23 months an average of about 3,646 children per month of age have responses. For age 24-59 months, it's about 991 children per month of age, with no tapering off by age above 23 months. Apparently, some additional nutrition research was planned for older children, but in the final report I only see tables in chapter 10 for the children who were age 0-23 or 6-23 months. To match the tables in chapter 10 it would be necessary to exclude the children older than 23 months.
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Topic: Clarification of "Sex" variable in PR data file
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Clarification of "Sex" variable in PR data file [message #29044] |
Wed, 17 April 2024 03:50 |
Sivakami
Messages: 1 Registered: April 2024
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Member |
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Hi,
I am using PR data file "IAPREDT" from NFHS-5. There are two varibles "SEX of the household member - hv104 " and "Sex of head of the household - hv219". There both varibles distributions are different. So which one should I use for the research analysis.
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Re: Clarification of "Sex" variable in PR data file [message #29049 is a reply to message #29044] |
Wed, 17 April 2024 07:26 |
Bridgette-DHS
Messages: 3032 Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS staff member, Tom Pullum:
The PR file has one record or line of data for each person in the household. Each record includes a variable hv101, a code for relation to the head of the household. There are codes for spouse, child, etc. The head of the household has hv101=1.
The sex of everyone in the file is given by hv104. For convenience, the sex (hv104) of the head of the household (the person with hv101=1) is copied onto the record of everyone else in the household during the construction of the PR file. Normally you will just use hv104, but for some analyses, for example analyses of child well-being, it may be useful to know whether the household head is male or female, and to use hv219 in your analysis.
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Topic: Pregnancy outcomes in India DHS 2019-21
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Re: Pregnancy outcomes in India DHS 2019-21 [message #29042 is a reply to message #25281] |
Wed, 17 April 2024 02:53 |
anjalibansal6693
Messages: 22 Registered: February 2018
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Member |
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Dear Sir
I am trying to calculate the number if pregnancies for NFHS-5 data (Table 6.15) using the calendar data. First I created the event file, for which code is attached but the denominator here is number of episodes in the event file . So should i keep the denominator as pregnancies and exclude those who are currently pregnant, and then compute the percentage of termination from total pregnancies.
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Re: Pregnancy outcomes in India DHS 2019-21 [message #29051 is a reply to message #29042] |
Wed, 17 April 2024 07:45 |
Bridgette-DHS
Messages: 3032 Registered: February 2013
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Senior Member |
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Following is a response from Senior DHS staff member, Tom Pullum:
Table 6.15 includes all women, whether or not they are pregnant. They are classified according to the outcome of the most recent COMPLETED pregnancy. A current pregnancy, for women who are currently pregnant, is not included in the numerator. It is not used IN ANY WAY in the construction of the table.
This table is potentially confusing because the last column is titled "Number of pregnancies". A better title, in my opinion, would be "Number of women". Hope this helps.
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Forum: Weighting data
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Topic: Reclassifying admin areas
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Reclassifying admin areas [message #29053] |
Wed, 17 April 2024 17:03 |
Wolf
Messages: 2 Registered: June 2022
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Member |
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I am pooling 6 DHS surveys in Bangladesh together. In order to do this, I must harmonize some variables, including adminastrative areas (Divisions), as the number of Divisions have changed over time (in 1999, there were 5, now there are 8).
I have plotted the GPS coordinates of the PSUs onto a map, with the current (8) Division boundaries, and classified each PSU based on which Division the clusters falls within.
The question I have is, do you think this is a problem for survey weights in the pooled dataset?
These changes will not impact the 2017/18 survey as it was conducted after the boundaries were redrawn, but it will impact earlier surveys, particularly the 1999/2000 survey which at the time it was conducted, only had 5 admin areas.
Thanks in advance!
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