Considerations for the design, analysis and presentation of in vivo studies
(2017) In Osteoarthritis and Cartilage 25(3). p.364-368- Abstract
OBJECTIVE: To describe, explain and give practical suggestions regarding important principles and key methodological challenges in the study design, statistical analysis, and reporting of results from in vivo studies.
CONCLUSIONS: Pre-specifying endpoints and analysis, recognizing the common underlying assumption of statistically independent observations, performing sample size calculations, and addressing multiplicity issues are important parts of an in vivo study. A clear reporting of results and informative graphical presentations of data are other important parts.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/d281919b-bdec-4d9a-9cad-b4bb57243d4b
- author
- Ranstam, J LU and Cook, J A
- publishing date
- 2017-03
- type
- Contribution to journal
- publication status
- published
- keywords
- Animals, Biomedical Research/methods, Clinical Protocols/standards, Data Interpretation, Statistical, Humans, Osteoarthritis/therapy, Publications/standards, Randomized Controlled Trials as Topic/methods, Research Design, Sample Size
- in
- Osteoarthritis and Cartilage
- volume
- 25
- issue
- 3
- pages
- 364 - 368
- publisher
- Elsevier
- external identifiers
-
- pmid:27480934
- scopus:84981703895
- ISSN
- 1063-4584
- DOI
- 10.1016/j.joca.2016.06.023
- language
- English
- LU publication?
- no
- additional info
- Copyright © 2016 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.
- id
- d281919b-bdec-4d9a-9cad-b4bb57243d4b
- date added to LUP
- 2019-06-24 15:49:24
- date last changed
- 2024-04-16 13:18:21
@article{d281919b-bdec-4d9a-9cad-b4bb57243d4b,
abstract = {{<p>OBJECTIVE: To describe, explain and give practical suggestions regarding important principles and key methodological challenges in the study design, statistical analysis, and reporting of results from in vivo studies.</p><p>CONCLUSIONS: Pre-specifying endpoints and analysis, recognizing the common underlying assumption of statistically independent observations, performing sample size calculations, and addressing multiplicity issues are important parts of an in vivo study. A clear reporting of results and informative graphical presentations of data are other important parts.</p>}},
author = {{Ranstam, J and Cook, J A}},
issn = {{1063-4584}},
keywords = {{Animals; Biomedical Research/methods; Clinical Protocols/standards; Data Interpretation, Statistical; Humans; Osteoarthritis/therapy; Publications/standards; Randomized Controlled Trials as Topic/methods; Research Design; Sample Size}},
language = {{eng}},
number = {{3}},
pages = {{364--368}},
publisher = {{Elsevier}},
series = {{Osteoarthritis and Cartilage}},
title = {{Considerations for the design, analysis and presentation of in vivo studies}},
url = {{http://dx.doi.org/10.1016/j.joca.2016.06.023}},
doi = {{10.1016/j.joca.2016.06.023}},
volume = {{25}},
year = {{2017}},
}