PMID- 26434649
OWN - NLM
STAT- MEDLINE
DCOM- 20161031
LR  - 20161230
IS  - 1097-0258 (Electronic)
IS  - 0277-6715 (Linking)
VI  - 35
IP  - 6
DP  - 2016 Mar 15
TI  - Centile estimation for a proportion response variable.
PG  - 895-904
LID - 10.1002/sim.6748 [doi]
AB  - This paper introduces two general models for computing centiles when the response 
      variable Y can take values between 0 and 1, inclusive of 0 or 1. The models 
      developed are more flexible alternatives to the beta inflated distribution. The 
      first proposed model employs a flexible four parameter logit skew Student t 
      (logitSST) distribution to model the response variable Y on the unit interval (0, 
      1), excluding 0 and 1. This model is then extended to the inflated logitSST 
      distribution for Y on the unit interval, including 1. The second model developed 
      in this paper is a generalised Tobit model for Y on the unit interval, including 
      1. Applying these two models to (1-Y) rather than Y enables modelling of Y on the 
      unit interval including 0 rather than 1. An application of the new models to real 
      data shows that they can provide superior fits.
CI  - Copyright (c) 2015 John Wiley & Sons, Ltd.
FAU - Hossain, Abu
AU  - Hossain A
AD  - STORM, London Metropolitan University, London, U.K.
FAU - Rigby, Robert
AU  - Rigby R
AD  - STORM, London Metropolitan University, London, U.K.
FAU - Stasinopoulos, Mikis
AU  - Stasinopoulos M
AD  - STORM, London Metropolitan University, London, U.K.
FAU - Enea, Marco
AU  - Enea M
AD  - University of Palermo, Palermo, Italy.
LA  - eng
PT  - Journal Article
DEP - 20151004
PL  - England
TA  - Stat Med
JT  - Statistics in medicine
JID - 8215016
SB  - IM
MH  - Computer Simulation
MH  - Humans
MH  - Least-Squares Analysis
MH  - Logistic Models
MH  - Lung/*physiology
MH  - Male
MH  - *Models, Statistical
MH  - Statistical Distributions
OTO - NOTNLM
OT  - GAMLSS
OT  - beta inflated distribution
OT  - fractional data
OT  - generalised Tobit model
OT  - logit skew Student t distribution
EDAT- 2015/10/06 06:00
MHDA- 2016/11/01 06:00
CRDT- 2015/10/06 06:00
PHST- 2015/01/05 00:00 [received]
PHST- 2015/09/06 00:00 [accepted]
PHST- 2015/10/06 06:00 [entrez]
PHST- 2015/10/06 06:00 [pubmed]
PHST- 2016/11/01 06:00 [medline]
AID - 10.1002/sim.6748 [doi]
PST - ppublish
SO  - Stat Med. 2016 Mar 15;35(6):895-904. doi: 10.1002/sim.6748. Epub 2015 Oct 4.