Open AccessAdjusting the Oral Health Related Quality of Life Measure (Using Ohip-14) for Floor and Ceiling Effects
Author(s) -
Manoharan Andiappan,
F H Hughes,
Stephen Dunne,
Wei Gao,
Nora Donaldson
Publication year - 2015
Publication title -
journal of oral health and community dentistry
Language(s) - English
Resource type - Journals
eISSN - 2230-7389
pISSN - 0973-7316
DOI - 10.5005/johcd-9-3-99
Subject(s) - tobit model , ceiling effect , ordinary least squares , statistics , regression analysis , ceiling (cloud) , regression , descriptive statistics , linear regression , medicine , sample size determination , mathematics , demography , econometrics , geography , meteorology , pathology , alternative medicine , sociology
5 BSc (Maths) MSc (Applied Stats) PHD Statistics Professor of Biostatistics King’s College London. ABSTRACT Introduction The influence of floor (lowest) and ceiling (highest) effects on the outcome measure is of serious concern particularly when the outcome is measured using Likert scales. Conventional regression methods yield biased results and hence tobit regression is to be used to adjust for these effects. This paper is an attempt to use tobit regression in finding the predictors of oral health related quality of life after adjusting for floor and ceiling effects.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom