Statistical Treatment of the Law of Initial Values (LIV) in Autonomic Research

A Review and Recommendation

Datos Bibliográficos

ID19306263
AutoresLorna Smith Benjamin (0000-0001-5338-9142, UW Health University Hospital, autor de correspondencia)
Año1963
Volumen25
Número6
Páginas556-566
Fecha de publicación1963-11-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaPsychosomatic Medicine (JOURNAL)
Identificadores de la revistaISSN: 0033-3174 • E-ISSN: 1534-7796
EditorialOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/00006842-196311000-00005
PMID14080094
OpenAlexW2330653970
IdiomaEN
Citas recibidas16

Three major techniques for statistically handling LIV are reviewed: (1) regression analysis as proposed by Lacey12 (ALS); (2) the difference between standardized pre-and poststimulus scores as proposed by Heath and Oken,11, 17 and (3) the intuitively appealing per cent change transformations. The proposed criterion of a satisfactory score is: The correlation between the initial level and a properly corrected score should be zero, and the adjusted score should have face validity. Mathematical analysis demonstrates that only scores built on the regression models will be guaranteed to have no correlation with initial level. Consequently, for comparing differences between groups' response to experimental stimulation, covariance analysis of the difference scores (D) adjusted for initial level (X) is recommended.For comparing differences between individuals' response to experimental stimulation, a difference score from the Covariance XD model, d -- bDXx is recommended.In standardized form, this is equivalent to Lacey's ALS

Analysis of covariance · Correlation · Covariance · Linear regression · Regression · Regression analysis · Significant difference · Statistics · Heart Rate Variability and Autonomic Control · Mathematics · Psychology · Sensory Analysis and Statistical Methods