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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: SV: S: SV: st: Survey - raking - calibration - post stratification - calculating weights |

Date |
Mon, 8 Dec 2008 12:13:14 -0500 |

On Dec 8, 2008, at 2:55 AM, Kristian Wraae wrote:

Ok, thanks. Now I understand how to do the raking procedure. I have one question though.Since I have a two step inclusion procedure wouldn't it be moreaccurate torake in two steps. Example: I know the distribution of medication amongst the 3745 men.But the 3745 men differs from the 4975 men by being slightlyyounger and weknow that the older you get the more medicin do you get. That alsogoes forphysical activity and smoking.So if I calculate the expected prevalences amongst the 4975 (inorder torake the 600) from the 3750 I risk making a mistake(underestimating theprevalences in the baclground population). I guess should becalculating theall prevalences from the 4975, but I don't those data. So wouldn't it be more correct to: 1. Rake the 3750 so they match the 4975 on age and geography. 2. Calculate all the expected prevalences on age, medication, smoking,physical activity ect from the now raked 3750 (as we would expectthem to behad we had a 100% response rate). 3. Use these prevalences to rake the 600 as you showed me?

Here are the steps: 1. Estimate weight1 = N_i/n_i as before for the 15 age groups.

7. Use this as your final analysis weight for -svymean-.

-Steve * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**SV: SV: S: SV: st: Survey - raking - calibration - post stratification - calculating weights***From:*"Kristian Wraae" <Kristian_Wraae@vip.cybercity.dk>

**References**:**SV: S: SV: st: Survey - raking - calibration - post stratification - calculating weights***From:*"Kristian Wraae" <Kristian_Wraae@vip.cybercity.dk>

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