PMID- 33225201
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201125
IS  - 2475-4277 (Electronic)
IS  - 2475-4269 (Print)
VI  - 2019
DP  - 2019
TI  - Interval Estimation for Minimal Clinically Important Difference and its 
      Classification Error via a Bootstrap Scheme.
LID - 10.1080/24754269.2019.1587692 [doi]
AB  - With the improved knowledge on clinical relevance and more convenient access to 
      the patient-reported outcome data, clinical researchers prefer to adopt minimal 
      clinically important difference (MCID) rather than statistical significance as a 
      testing standard to examine the effectiveness of certain intervention or 
      treatment in clinical trials. A practical method to determining the MCID is based 
      on the diagnostic measurement. By using this approach, the MCID can be formulated 
      as the solution of a large margin classification problem. However, this method 
      only produces the point estimation, hence lacks of ways to evaluate its 
      performance. In this paper we introduce an m-out-of-n bootstrap approach which 
      provides the interval estimations for MCID and its classification error, an 
      associated accuracy measure for performance assessment. A variety of extensive 
      simulation studies are implemented to show the advantages of our proposed method. 
      Analysis of the chondral lesions and meniscus procedures (ChAMP) trial is our 
      motivating example and is used to illustrate our method.
FAU - Zhou, Zehua
AU  - Zhou Z
AD  - Department of Biostatistics, School of Public Health and Health Professions, 
      State University of New York at Buffalo, 3435 Main Street, Buffalo, NY 14214, 
      United States.
FAU - Zhao, Jiwei
AU  - Zhao J
AD  - Department of Biostatistics, School of Public Health and Health Professions, 
      State University of New York at Buffalo, 3435 Main Street, Buffalo, NY 14214, 
      United States.
FAU - Kluczynski, Melissa
AU  - Kluczynski M
AD  - Department of Orthopaedics, Jacobs School of Medicine and Biomedical Sciences, 
      State University of New York at Buffalo, 462 Grider Street, Buffalo, NY 14215, 
      United States.
LA  - eng
GR  - UL1 TR001412/TR/NCATS NIH HHS/United States
PT  - Journal Article
DEP - 20190319
PL  - England
TA  - Stat Theory Relat Fields
JT  - Statistical theory and related fields
JID - 101713913
PMC - PMC7678023
MID - NIHMS1536634
OTO - NOTNLM
OT  - Bootstrap
OT  - Classification error
OT  - Confidence interval
OT  - Minimal clinically important difference
OT  - Non-convex optimization
OT  - m-out-of-n bootstrap
EDAT- 2019/01/01 00:00
MHDA- 2019/01/01 00:01
PMCR- 2020/11/20
CRDT- 2020/11/23 05:42
PHST- 2020/11/23 05:42 [entrez]
PHST- 2019/01/01 00:00 [pubmed]
PHST- 2019/01/01 00:01 [medline]
PHST- 2020/11/20 00:00 [pmc-release]
AID - 10.1080/24754269.2019.1587692 [doi]
PST - ppublish
SO  - Stat Theory Relat Fields. 2019;2019:10.1080/24754269.2019.1587692. doi: 
      10.1080/24754269.2019.1587692. Epub 2019 Mar 19.