| dc.contributor.author | McLernon, David J | |
| dc.contributor.author | Steyerberg, Ewout W | |
| dc.contributor.author | te Velde, Egbert R | |
| dc.contributor.author | Lee, Amanda J | |
| dc.contributor.author | Bhattacharya, Siladitya | |
| dc.date.accessioned | 2016-11-17T10:28:24Z | |
| dc.date.available | 2016-11-17T10:28:24Z | |
| dc.date.issued | 2016-11-16 | |
| dc.identifier | 72813026 | |
| dc.identifier | 357f8984-c05c-4849-990e-ca34c7951c16 | |
| dc.identifier | 84996878259 | |
| dc.identifier.citation | McLernon , D J , Steyerberg , E W , te Velde , E R , Lee , A J & Bhattacharya , S 2016 , ' Predicting the chances of a live birth after one or more complete cycles of in vitro fertilisation : population based study of linked cycle data from 113 873 women ' , BMJ , vol. 355 , i5735 . https://doi.org/10.1136/bmj.i5735 | en |
| dc.identifier.issn | 0959-8146 | |
| dc.identifier.other | ORCID: /0000-0001-8905-2429/work/42425595 | |
| dc.identifier.uri | http://hdl.handle.net/2164/7714 | |
| dc.description | Funding: This work was supported by a Chief Scientist Office postdoctoral training fellowship in health services research and health of the public research (ref PDF/12/06). The views expressed here are those of the authors and not necessarily those of the Chief Scientist Office. The funder did not have any role in the study design; the collection, analysis, and interpretation of data; the writing of the report; nor the decision to submit the paper for publication. DJM had full access to all the data in the study and had final responsibility for the decision to submit for publication. | en |
| dc.format.extent | 9 | |
| dc.format.extent | 611091 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | BMJ | en |
| dc.subject | R Medicine | en |
| dc.subject | Chief Scientist Office (CSO) | en |
| dc.subject | PDF/12/06 | en |
| dc.subject | Supplementary Data | en |
| dc.subject.lcc | R | en |
| dc.title | Predicting the chances of a live birth after one or more complete cycles of in vitro fertilisation : population based study of linked cycle data from 113 873 women | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Other Applied Health Sciences | en |
| dc.contributor.institution | University of Aberdeen.Grampian Data Safe Haven (DaSH) | en |
| dc.contributor.institution | University of Aberdeen.Medical Statistics | en |
| dc.contributor.institution | University of Aberdeen.Institute of Applied Health Sciences | en |
| dc.description.status | Peer reviewed | en |
| dc.identifier.doi | 10.1136/bmj.i5735 | |
