Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/334Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lipsitz, Stuart R. | - |
| dc.contributor.author | Zhao, Lue Ping | - |
| dc.contributor.author | MOLENBERGHS, Geert | - |
| dc.date.accessioned | 2004-10-22T13:41:55Z | - |
| dc.date.available | 2004-10-22T13:41:55Z | - |
| dc.date.issued | 1998 | - |
| dc.identifier.citation | Journal of the Royal Statistical Society Series B, 60(1). p. 127-144 | - |
| dc.identifier.issn | 1369-7412 | - |
| dc.identifier.uri | http://hdl.handle.net/1942/334 | - |
| dc.description.abstract | In this paper, we describe how to use multiple imputation semiparametrically to obtain estimates of parameters and their standard errors when some individuals have missing data. The methods given require the investigator to know or be able to estimate the process generating the missing data but requires no full distributional form for the data. The method is especially useful for non-standard problems, such as estimating the median when data are missing. | - |
| dc.description.sponsorship | The authors are grate ful for the support from the US National Institutes of Health grantsGM 29745, CA 55576 and CA 56670. | - |
| dc.language.iso | en | - |
| dc.rights | (C) 1998 Royal Statistical Society | - |
| dc.subject | Non and semiparametric methods | - |
| dc.subject | Missing data | - |
| dc.subject.other | complete cases; missing at random; missing data mechanism | - |
| dc.title | A semi-parametric method of multiple imputation | - |
| dc.type | Journal Contribution | - |
| dc.identifier.epage | 144 | - |
| dc.identifier.issue | 1 | - |
| dc.identifier.spage | 127 | - |
| dc.identifier.volume | 60 | - |
| local.type.refereed | Refereed | - |
| local.type.specified | Article | - |
| dc.bibliographicCitation.oldjcat | A1 | - |
| dc.identifier.doi | 10.1111/1467-9868.00113 | - |
| dc.identifier.isi | 000073377900010 | - |
| item.validation | ecoom 1999 | - |
| item.contributor | Lipsitz, Stuart R. | - |
| item.contributor | Zhao, Lue Ping | - |
| item.contributor | MOLENBERGHS, Geert | - |
| item.accessRights | Restricted Access | - |
| item.fullcitation | Lipsitz, Stuart R.; Zhao, Lue Ping & MOLENBERGHS, Geert (1998) A semi-parametric method of multiple imputation. In: Journal of the Royal Statistical Society Series B, 60(1). p. 127-144. | - |
| item.fulltext | With Fulltext | - |
| crisitem.journal.issn | 1369-7412 | - |
| crisitem.journal.eissn | 1467-9868 | - |
| Appears in Collections: | Research publications | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Lipsitz_et_al-1998-Journal_of_the_Royal_Statistical_Society__Series_B_(Statistical_Methodology).pdf Restricted Access | Published version | 373.36 kB | Adobe PDF | View/Open Request a copy |
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