Modelling Psychiatric Measures Using Skew-Normal Distributions
Nicholas Counsell, Mario Cortina‐Borja, Aura Lehtonen, Alan L. Stein
Abstract
Open-access reader
Nicholas Counsell, Mario Cortina‐Borja, Aura Lehtonen, Alan L. Stein
Abstract
Open-access reader
Data from psychiatric research frequently exhibit departures from Normality. Methods which utilise the data optimally to model the distribution directly are available. We highlight the issue of modelling skewness, resulting from screening instruments where the majority of respondents are healthy individuals and few participants have a value reflecting particular disorders.
OpenAlex reports 25 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Data from psychiatric research frequently exhibit departures from Normality. Methods which utilise the data optimally to model the distribution directly are available. We highlight the issue of modelling skewness, resulting from screening instruments where the majority of respondents are healthy individuals and few participants have a value reflecting particular disorders.
Key concepts: Skew, Psychology, Psychiatry, Statistics, Econometrics, Mathematics, Computer science, Telecommunications