Validating online approaches for rare disease research using latent class mixture modeling
Journal article
Dwyer, Andrew A., Zeng, Ziwei and Lee, Christopher S.. (2021). Validating online approaches for rare disease research using latent class mixture modeling. Orphanet Journal of Rare Diseases. 16(1), p. Article 209. https://doi.org/10.1186/s13023-021-01827-z
Authors | Dwyer, Andrew A., Zeng, Ziwei and Lee, Christopher S. |
---|---|
Abstract | Background Results Conclusions |
Keywords | community based participatory research; diagnostic odyssey; hypogonadotropic hypogonadism; Kallmann syndrome; patient organization; rare disease |
Year | 2021 |
Journal | Orphanet Journal of Rare Diseases |
Journal citation | 16 (1), p. Article 209 |
Publisher | Biomed Central Ltd |
ISSN | 1750-1172 |
Digital Object Identifier (DOI) | https://doi.org/10.1186/s13023-021-01827-z |
PubMed ID | 33971926 |
Scopus EID | 2-s2.0-85105579956 |
PubMed Central ID | PMC8108361 |
Open access | Published as ‘gold’ (paid) open access |
Research or scholarly | Research |
Page range | 1-7 |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 10 May 2021 |
Publication process dates | |
Accepted | 20 Apr 2021 |
Deposited | 25 Nov 2021 |
https://acuresearchbank.acu.edu.au/item/8x238/validating-online-approaches-for-rare-disease-research-using-latent-class-mixture-modeling
Download files
Publisher's version
OA_Dwyer_2021_Validating_online_approaches_for_rare_disease.pdf | |
License: CC BY 4.0 | |
File access level: Open |
104
total views37
total downloads2
views this month1
downloads this month