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The two-compartment model for extravascular administration represents a drug's absorption and distribution process. It features a central compartment, where the drug is first absorbed, and a peripheral compartment, which illustrates the drug's distribution throughout the body. The rate of change in drug concentration in the central compartment is calculated by three exponents: absorption, distribution, and elimination.

The absorption exponent (ka) indicates the speed at which the drug is absorbed. The distribution exponent demonstrates how the drug is dispersed throughout the body, while the elimination exponent shows how the drug is removed from the body. These exponents can be determined using the method of residuals, provided ka is significantly larger than the distribution and elimination elements.

In addition to the method of residuals, the Loo-Riegelman method can estimate ka for drugs that follow two-compartment characteristics. This method requires data on plasma drug concentration over time after both oral and intravenous administration to the same subject at different times. Despite its intricacy, it can be applied to drugs distributed in any number of compartments. This method contrasts with the Wagner-Nelson method, typically used for drugs with one-compartment characteristics.

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7.15 : Two-Compartment Open Model: Extravascular Administration

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

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7.2 : Model Approaches for Pharmacokinetic Data: Compartment Models

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7.3 : One-Compartment Open Model for IV Bolus Administration: General Considerations

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7.4 : One-Compartment Open Model for IV Bolus Administration: Estimation of Elimination Rate Constant, Half-Life and Volume of Distribution

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7.5 : One-Compartment Open Model for IV Bolus Administration: Estimation of Clearance

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7.6 : One-Compartment Model: IV Infusion

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7.7 : One-Compartment Open Model for Extravascular Administration: Zero-Order Absorption Model

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7.8 : One-Compartment Open Model for Extravascular Administration: First-Order Absorption Model

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7.9 : One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

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7.10 : One-Compartment Open Model: Urinary Excretion Data and Determination of k

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7.11 : Multicompartment Models: Overview

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7.12 : Two-Compartment Open Model: Overview

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7.13 : Two-Compartment Open Model: IV Bolus Administration

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7.14 : Two-Compartment Open Model: IV Infusion

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