Originally, small numbers of imputations (3 or 5) were suggested, but currently there seems to be preference for larger numbers. Many recent studies that do report numbers of imputation used between 20 and 100 data sets (subjective view), but I’ve also seen as many as a thousand. I guess that it depends on the amount of Monte Carlo error (the loss of power to for testing an association) you are willing to accept. White, Royston and Wood (2010) suggest in their Statistics in Medicine journal article as a rule of thumb to use “at least the percentage of incomplete cases” (100 times the fraction of missing information), but they also state that you might need more in specific settings.
Adriaan W. Hoogendoorn, PhD Senior Researcher – Statistician M: Room MB.02, A.J. Ernststraat 1187, 1081 HL Amsterdam, The Netherlands T: + 31(0)20 788 4649 E: [email protected]<mailto:[email protected]> Office hours: Mo-Tu-We-Th GGZ inGeest, Onderzoek en innovatie Locatie A.J. Ernststraat, Amsterdam www.ggzingeest.nl<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.ggzingeest.nl_&d=CwIGaQ&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=N9mDDDuK1isnKK-Q36bwNuZl066Rn4cNQtKxtVKMnWBnZ5yXlXHty3gF6wWXsdE6&m=uar2zvBt-CyCEgwFinsosPoZgBH_o6rJZAvxvVrWpeY&s=rOarCICWmLfxjAFAXCAKhMwIX7Cj-WlWK8neT8IgvxM&e= > GGZ inGeest, samen op eigen wijze Van: Impute -- Imputations in Data Analysis [mailto:[email protected]] Namens DAVID R JOHNSON Verzonden: maandag 12 september 2016 0:13 Aan: [email protected] Onderwerp: Re: Typical number of imputations My experience is that authors who use MI seldom report the number of imputations they used. ------------------------------------------------------------------------------ David R. Johnson Professor of Sociology, Human Development and Family Studies, and Demography Department of Sociology 413 Oswald Tower The Pennsylvania State University University Park, PA 16802 814-865-9564 [email protected]<mailto:[email protected]> ------------------------------------------------------------------------------- ________________________________ From: "Allison, Paul D" <[email protected]<mailto:[email protected]>> To: "Impute" <[email protected]<mailto:[email protected]>> Sent: Saturday, September 10, 2016 7:58:55 AM Subject: Re: Typical number of imputations Good question, but I'm not aware of any studies. Paul D. Allison, Professor Department of Sociology University of Pennsylvania 581 McNeil Building 3718 Locust Walk Philadelphia, PA 19104-6299 610-715-5702 419-818-1220 (fax) www.pauldallison.com<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.pauldallison.com_&d=CwMFAw&c=yHlS04HhBraes5BQ9ueu5zKhE7rtNXt_d012z2PA6ws&r=N9mDDDuK1isnKK-Q36bwNuZl066Rn4cNQtKxtVKMnWBnZ5yXlXHty3gF6wWXsdE6&m=WZhkIrvV_nPE4MPWJCbcERwh_uwCepoMW9A1CIlGono&s=jhCMas8sQAOyoeHxUbvqK4sCPETcmNiEkxGRSgzeBj8&e=> ________________________________ From: Impute -- Imputations in Data Analysis <[email protected]<mailto:[email protected]>> on behalf of Paul von Hippel <[email protected]<mailto:[email protected]>> Sent: Friday, September 9, 2016 11:05 PM To: [email protected]<mailto:[email protected]> Subject: Typical number of imputations Are there studies documenting how many imputations analysts typically use in MI? I know the recommendations, but I'm interested in what users are actually doing -- and whether users are using more imputations now than previously. Best wishes, Paul von Hippel LBJ School of Public Affairs Sid Richardson Hall 3.251 University of Texas, Austin 2315 Red River, Box Y Austin, TX 78712 ________________________________ Dit e-mailbericht is uitsluitend bestemd voor de geadresseerde. Als dit bericht niet voor u bestemd is, wordt u verzocht dit aan de afzender te melden en het bericht te vernietigen. Het is niet toegestaan de inhoud van dit bericht verder te verspreiden of te gebruiken. Voor meer informatie over GGZ inGeest: www.ggzingeest.nl. Denk aan het milieu voordat u deze e-mail print.
