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From |
Steven Samuels <sjhsamuels@earthlink.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: How to calculate mortality ratios |

Date |
Thu, 13 Dec 2007 07:29:48 -0500 |

Gaby, I had overlooked this post when I stated on the List that you hadn't answered my questions. You had indeed. I am very sorry that I stated otherwise.

-Steve

On Dec 4, 2007, at 4:36 AM, Ana Gabriela Guerrero Serdan wrote:

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 <sjhsamuels@earthlink.net> 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 foreachindividual 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 ofthecauses of death (e.g. disease, traffic accident)perregion. So basically the hh id is the variable to knowwhichindividuals died in each household. So I think I need to first joinby both datasets,thencalculate the population estimates per region andthenmortality ratios? thanks, Gaby --- Steven Joel Hirsch Samuels <sjhsamuels@earthlink.net> wrote:Gaby, why don't you lay out exactly what yourfilesare, and what analysis variables are in them. Do you want todo'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 GabrielaGuerreroSerdan wrote:Steve, thanks. Yes sorry my ratio should have been x/y. I missed to calculate the total population firstasthis is in a separate file. I was doingcalculationsonly among those that died from differentcauses.So from file 2 I need to calculate my total population. I have individual information foreachhousehold in the survey. Not sure if I shouldfirstgenerate a count variable? svyset AI06 [pw= expweigh], strata( AI05) gen count=_n svy: total count, over(AI02) then use this to calculate the mortality ratioinfile1 as you indicated. thanks again, Gaby --- Steven Joel Hirsch Samuels <sjhsamuels@earthlink.net> wrote:Gaby: 1. Ratio requires a numerator and denominator: svy: ratio myratio = x/y svy: ratio dead should return an errormessagein Stata 10. What are your individual observations? peoplewithdead indicating status yes/no, or some other unit? If you havean'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 deadandnot dead. This will be correct if your analytic unit isperson.3. I suggest that you form new strata bypoolingsingletons into neighboring regions. -Steven On Dec 2, 2007, at 8:25 AM, Ana GabrielaGuerreroSerdan 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 thefollowingcommands? 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 stratawithonesampling unit. I see that Stata suggests (asalsosomebooks) to delete or collapse the strata withonesampling unit. Do you know what are theimplicationsfor 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, UKhttp://www.rhul.ac.uk/economics/About-Us/postgrads.html=== message truncated ===http://www.flickr.com/photos/49939890@N00/ Tel: +44 7912657259

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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**Follow-Ups**:**st: drop if***From:*Ana Gabriela Guerrero Serdan <ag_guerreroserdan@yahoo.com>

**Re: st: How to calculate mortality ratios***From:*john.barnshaw@gmail.com

**References**:**Re: st: How to calculate mortality ratios***From:*Ana Gabriela Guerrero Serdan <ag_guerreroserdan@yahoo.com>

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