Confidence intervals for dependent data: Equating non-overlap with statistical significance

Journal article

Peer reviewed

Computational statistics & data analysis, Vol.54(10), pp.2296-2305

2010

Abstract

Numerical analysis. Scientific computation

Numerical methods in probability and statistics

General topics

Numerical analysis

Exact sciences and technology

Mathematics

Probability and statistics

Multivariate analysis

Statistics

Parametric inference

Sciences and techniques of general use

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Citation topics: 1 Clinical & Life Sciences; 1.155 Medical Ethics; 1.155.611 Evidence Based Medicine
Web Of Science research areas: Computer Science, Interdisciplinary Applications; Statistics & Probability
ESI research areas: Mathematics

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Title: Confidence intervals for dependent data: Equating non-overlap with statistical significance
Creators: David AFSHARTOUS - Division of Clinical Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States
Richard A PRESTON - Division of Clinical Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, 33136, United States
Publication Details: Computational statistics & data analysis, Vol.54(10), pp.2296-2305
Publisher: Elsevier; Amsterdam
Academic Unit: Miller School of Medicine; UMMG Dept of Medicine - Clinical Pharmacology
Language: English
Resource Type: Journal article
Record Identifier: 991031559361002976