How Much Missing Data is Too Much? Monte Carlo Simulations to Develop SISAQOL Guidelines for Missing Data Handling.
- Citation:
- Qual Life Res vol 27 (suppl 1) abst 2018.1
- Meeting Instance:
- ISOQOL 2018
- Year:
- 2018
- Type:
- Abstract
- Sub type:
- Oral
- Funding:
- NCTN
- Endpoint:
- No-Endpoint
- Analysis:
- Other
- Data Sharing:
- No-Data-Sharing
- Status:
- Presented/Published
- Citation Status:
- epub
- Note:
- Methodological:
- Yes
- Biospecimen:
- No
- SDC:
- Yes
- Parents:
- None
- Children:
- None
- Program:
- CCP
- Primary Committee:
- Health Outcomes
- Sec. Committees:
- Pharmas:
- Grants:
- UG1CA189823
- Corr. Author:
- Authors:
- Gina L. Mazza Corneel Coens Madeline Pe Lien Dorme Kathy Oliver Andrew Bottomley Jeff A. Sloan Amylou C. Dueck
- Networks:
- Study
- NCCTG-N07C2
- Multiple Studies, or Legacy Studies in Alliance Study:
- Phases:
- 3
- Keywords: