The Almost‐one Parameter Hypothesis Applied to Pharmacokinetics of Ethanol Infusion

Masuyama, Motosaburo

doi:10.1002/bimj.4710280510

Cited by 6 publications

(2 citation statements)

References 3 publications

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“…The curve has found application, for example, in growth populations with confined space or limited nutrients. Masuyama (1979Masuyama ( , 1985Masuyama ( , 1988Masuyama ( , 1991Masuyama ( , 1992, for example, notes that several growth processes including human stature appear to be biphasic, with some individuals demonstrating an initially slower rate of growth accompanied by more rapid growth at later ages and vice versa. As such, the pattern of growth is different than for the more widely used logistic curve, which has a symmetric inflection point.…”

Section: Monte Carlo Examination Of Model Comparisonmentioning

confidence: 99%

Right-sizing statistical models for longitudinal data.

Wood¹,

Steinley²,

Jackson³

2015

Psychological Methods

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Arguments are proposed that researchers using longitudinal data should consider more and less complex statistical model alternatives to their initially chosen techniques in an effort to “right-size” the model to the data at hand. Such model comparisons may alert researchers who use poorly fitting overly parsimonious models to more complex better fitting alternatives, and, alternatively, may identify more parsimonious alternatives to overly complex (and perhaps empirically under-identified and/or less powerful) statistical models. A general framework is proposed for considering (often nested) relationships between a variety of psychometric and growth curve models. A three-step approach is proposed in which models are evaluated based on the number and patterning of variance components prior to selection of better-fitting growth models that explain both mean and variation/covariation patterns. The orthogonal, free-curve slope-intercept (FCSI) growth model is considered as a general model which includes, as special cases, many models including the Factor Mean model (FM, McArdle & Epstein, 1987), McDonald's (1967) linearly constrained factor model, Hierarchical Linear Models (HLM), Repeated Measures MANOVA, and the Linear Slope Intercept (LinearSI) Growth Model. The FCSI model, in turn, is nested within the Tuckerized factor model. The approach is illustrated by comparing alternative models in a longitudinal study of children's vocabulary and by comparison of several candidate parametric growth and chronometric models in a Monte Carlo study.

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Section: Monte Carlo Examination Of Model Comparisonmentioning

confidence: 99%

Right-sizing statistical models for longitudinal data.

Wood¹,

Steinley²,

Jackson³

2015

Psychological Methods

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show abstract

“…Let the rate constant of a substance in blood be k. Then k is determined in principle by heredity, and X of this substance is a linear function of U=log k (MASUYAMA, 1979b(MASUYAMA, , 1984. In other word8, SD of X, say a,, under standard condition is determined in principle by heredity.'…”

Section: Introductionmentioning

confidence: 99%

Quasi‐fixed Points w.r.t. the Height Growth Curve

Masuyama

1988

Biometrical J

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SummayWhen height growth curves are linearized, these lines are nearly concurrent after the growth spurt(bhsnYaara, 1979, 1982 b, ID@), i.e. there exists a nearly fixed point, which seems to correspond to the upper limit of the growth of the mean person. On other hand, before the spurt, there seems to exist a nearlyfixed point on the mean distance-velocity curve between 4 and 6 years of age. To grasp easily the existence of nearly fixed point, instead of many straight linea surrounding this point, we represent them dually by many points surrounding a stiaight line.

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A Note on the Two‐Compartment Model in Pharmacokinetics

Masuyama

1988

Biometrical J

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The Almost‐one Parameter Hypothesis Applied to Pharmacokinetics of Ethanol Infusion

Cited by 6 publications

References 3 publications

Right-sizing statistical models for longitudinal data.

Right-sizing statistical models for longitudinal data.

Quasi‐fixed Points w.r.t. the Height Growth Curve

A Note on the Two‐Compartment Model in Pharmacokinetics

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