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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
274
Model Approaches for Pharmacokinetic Data: Compartment Models01:14

Model Approaches for Pharmacokinetic Data: Compartment Models

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Compartmental analysis is a widely adopted approach to characterizing drug pharmacokinetics. It uses compartment models that conceptualize the body as a collection of reversibly communicating compartments, each representing a group of tissues exhibiting similar drug distribution characteristics. The movement rate of the drug between these compartments is typically described by first-order kinetics.
Two primary types of compartment models are recognized: mammillary and catenary. The more...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

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Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
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Frustration and Conflict: Approach-Approach, Approach-Avoidance01:20

Frustration and Conflict: Approach-Approach, Approach-Avoidance

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Frustration occurs when people are obstructed or prevented from achieving a desired goal or fulfilling a perceived need. For example, when someone's input is ignored in a discussion, it can lead to feelings of frustration. Conflict, however, arises from opposing interests, goals, or actions. Conflicts can take various forms based on the nature of these opposing desires or goals.
One common type of conflict is the Approach–Approach Conflict. In this case, a person faces two desirable...
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Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis00:59

Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis

328
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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A Semiparametric Approach for Modeling Not-Reached Items.

Marit Kristine List1, Olaf Köller1, Gabriel Nagy1

  • 1Leibniz Institute for Science and Mathematics Education at Kiel University, Kiel, Germany.

Educational and Psychological Measurement
|January 15, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a new semiparametric model to analyze not-reached items (NRIs) in student achievement tests. The model improves understanding of how proficiency and other factors influence NRIs, offering more accurate results.

Keywords:
educational assessmentevent history analysisitem response theorylatent class analysisnonlinear relationsnot-reached items

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Area of Science:

  • Educational Measurement
  • Psychometrics
  • Statistics

Background:

  • Tests of student achievement frequently include not-reached items (NRIs).
  • The occurrence of NRIs can be influenced by student proficiency and other variables.
  • Existing models may not fully capture the complexities of NRI patterns.

Purpose of the Study:

  • To propose a novel semiparametric model for analyzing not-reached items (NRIs).
  • To extend existing item response theory (IRT) models for NRIs.
  • To investigate the relationships between proficiency, covariates, and the onset of NRIs.

Main Methods:

  • Developed a semiparametric model incorporating a flexible representation of NRI onset distribution.
  • Utilized multinomial logit regression to model NRI relationships with proficiency.
  • Integrated additional covariates to predict NRIs, drawing parallels with event history analysis.

Main Results:

  • The proposed model demonstrated a superior fit compared to the Glas and Pimentel model for NRI analysis.
  • The model provided a more detailed assessment of the onset of NRIs.
  • Simulation studies confirmed accurate recovery of relationships and reduced bias in parameter estimates.

Conclusions:

  • The new semiparametric model offers a more nuanced approach to understanding not-reached items in educational assessments.
  • This methodology enhances the accuracy of estimating item parameters, proficiency distributions, and covariate effects.
  • The model's connection to event history analysis broadens its applicability in psychometric research.