Dear Steve,
The frame was taken from a census, which i dont have.
The survey was done in two stages. PSUs were selected
with linear systematic pps sampling. Stratification
was done at the regional level and urban/rural areas.
I have information in the survey on the households per
psu, psu, strata, regions, pweights, and all hhs
characteristics, etc..
The main/second respondents in each houshold provided
information on who has died in their household and
what was the cause of death. In the questionaire, the
interveiwer had several options to mark from.
If there would be a one-member household that is
death and had lived alone, certainly this is not
reflected in the hh survey.
The survey is like a LSM survey , so the aim is to
know about living conditions. It is not a mortality
survey although some quesions were asked.
I want to calculate mortality ratios per region by
different causes, this would be sort of a CMR (*1000),
so I would be able to compare them.
thanks,
Gaby
--- Steven Joel Hirsch Samuels
<[email protected]> wrote:
> Okay, Gaby. Next, please describe how the sample
> was taken. What
> was the sampling 'frame'? What were the strata?;
> what was the
> 'first-stage' of sampling? What were later stages?
> In most household
> surveys, 'household' is rarely the first stage of
> sampling. Usually
> the strata are divided into smaller areas and a
> sample of these is
> taken. Only at a later stage are HH drawn.
>
> How was the information collected? how did the
> survey ascertain
> characteristics of people who had died? What if
> they had lived
> alone? Who provided the causes of death?
>
> -Steven
>
> On Dec 3, 2007, at 6:02 AM, Ana Gabriela Guerrero
> Serdan wrote:
>
> > Dear Steve,
> >
> > I have two datasets.
> >
> > 1) One dataset has individual information for
> each
> > individual in the household (individual
> > characteristics) and also hh id, regions,pweights,
> > psu, etc..
> >
> > 2) However, deaths are in a separate dataset which
> > includes only those individuals that died, it
> > specifies: household id, region, gender, pweights,
> > psu, and the causes of death.
> >
> > I want to calculate mortality ratios for each of
> the
> > causes of death (e.g. disease, traffic accident)
> per
> > region.
> >
> > So basically the hh id is the variable to know
> which
> > individuals died in each household.
> >
> > So I think I need to first joinby both datasets,
> then
> > calculate the population estimates per region and
> then
> > mortality ratios?
> >
> > thanks,
> > Gaby
> >
> >
> > --- Steven Joel Hirsch Samuels
> > <[email protected]> wrote:
> >
> >> Gaby, why don't you lay out exactly what your
> files
> >> are, and what
> >> analysis variables are in them. Do you want to
> do
> >> 'proportional'
> >> mortality ratios, single mortality rates? Do you
> >> want to test
> >> differences among regions (AI02)?
> >> -Steven
> >> On Dec 2, 2007, at 10:13 AM, Ana Gabriela
> Guerrero
> >> Serdan wrote:
> >>
> >>> Steve,
> >>>
> >>> thanks. Yes sorry my ratio should have been x/y.
> >>>
> >>> I missed to calculate the total population first
> >> as
> >>> this is in a separate file. I was doing
> >> calculations
> >>> only among those that died from different
> causes.
> >>>
> >>> So from file 2 I need to calculate my total
> >>> population. I have individual information for
> each
> >>> household in the survey. Not sure if I should
> >> first
> >>> generate a count variable?
> >>>
> >>> svyset AI06 [pw= expweigh], strata( AI05)
> >>> gen count=_n
> >>> svy: total count, over(AI02)
> >>>
> >>> then use this to calculate the mortality ratio
> in
> >> file
> >>> 1 as you indicated.
> >>>
> >>> thanks again,
> >>> Gaby
> >>>
> >>>
> >>> --- Steven Joel Hirsch Samuels
> >>> <[email protected]> wrote:
> >>>
> >>>> Gaby:
> >>>>
> >>>> 1. Ratio requires a numerator and denominator:
> >>>>
> >>>> svy: ratio myratio = x/y
> >>>>
> >>>> svy: ratio dead should return an error
> >> message
> >>>> in Stata 10.
> >>>>
> >>>> What are your individual observations? people
> >> with
> >>>> dead indicating
> >>>> status yes/no, or some other unit? If you have
> >> an
> >>>> 'area' as your
> >>>> observation, with 'dead' counting deaths and
> >> 'pop'
> >>>> giving the
> >>>> population total for the area, then
> >>>>
> >>>> svy: ratio (mr= dead/pop)
> >>>>
> >>>> would work.
> >>>>
> >>>> 2. svy: prop death will give proportions dead
> >> and
> >>>> not dead. This
> >>>> will be correct if your analytic unit is
> person.
> >>>>
> >>>> 3. I suggest that you form new strata by
> pooling
> >>>> singletons into
> >>>> neighboring regions.
> >>>>
> >>>> -Steven
> >>>> On Dec 2, 2007, at 8:25 AM, Ana Gabriela
> Guerrero
> >>>> Serdan wrote:
> >>>>
> >>>>> Dear Stata Users,
> >>>>>
> >>>>> I have two related questions:
> >>>>>
> >>>>> 1) Im trying to calcuate mortality ratios for
> >>>>> different sub-populations using survey data.
> >>>>>
> >>>>> Is it very naive from my side to use the
> >> following
> >>>>> commands?
> >>>>>
> >>>>> svyset AI06 [pw= expweigh], strata( AI05)
> >>>>> svy: ratio death, over (Province)
> >>>>>
> >>>>> I also get similar results with prop.
> >>>>>
> >>>>> 2) I dont get any SE because I have strata
> with
> >>>> one
> >>>>> sampling unit. I see that Stata suggests (as
> >> also
> >>>> some
> >>>>> books) to delete or collapse the strata with
> one
> >>>>> sampling unit. Do you know what are the
> >>>> implications
> >>>>> for this? Would I need to collapse the strata
> >>>>> according to region?
> >>>>>
> >>>>>
> >>>>> thanks,
> >>>>> Gaby
> >>>>>
> >>>>>
> >>>>>
> >>>>> Gaby Guerrero Serdan
> >>>>>
> >>>>> Deparment of Economics
> >>>>> Royal Holloway, University of London
> >>>>> TW20 OEX
> >>>>> Egham, Surrey
> >>>>> England, UK
> >>>>>
> >>>>
> >>>
> >>
> >
>
http://www.rhul.ac.uk/economics/About-Us/postgrads.html
> >>>>> http://www.flickr.com/photos/49939890@N00/
> >>>>>
> >>>>> Tel: +44 7912657259
>
=== message truncated ===
Gaby Guerrero Serdan
Deparment of Economics
Royal Holloway, University of London
TW20 OEX
Egham, Surrey
England, UK
http://www.rhul.ac.uk/economics/About-Us/postgrads.html
http://www.flickr.com/photos/49939890@N00/
Tel: +44 7912657259
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