| 1. |
Frontiers in Pharmacokinetic Data Analysis: Introduction |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 1-1
GaleazziR. L.,
BrandtR.,
EckertH.,
HinderlingP. H.,
CibaW. Reiss,
VozehS.,
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ISSN:0360-2532
DOI:10.3109/03602538409015053
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 2. |
Advantages and Limitations of Different Kinetic Models |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 3-3
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ISSN:0360-2532
DOI:10.3109/03602538409015054
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 3. |
Advantages and Limitations of Different Kinetic Models: Introduction |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 5-5
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ISSN:0360-2532
DOI:10.3109/03602538409015055
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 4. |
Relevance, Experiences, and Trends in the Use of Compartmental Models |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 7-53
SegreGiorgio,
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ISSN:0360-2532
DOI:10.3109/03602538409015056
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 5. |
Physiologic Pharmacokinetic Models: Relevance, Experience, and Future Trends |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 55-74
RowlandMalcolm,
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ISSN:0360-2532
DOI:10.3109/03602538409015057
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 6. |
Applicability of Different Types of Models in Health and Disease |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 75-102
BalantLuc,
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ISSN:0360-2532
DOI:10.3109/03602538409015058
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 7. |
Noncompartmental Approach in Pharmacokinetics Using Moments |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 103-131
NüeschErich A.,
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ISSN:0360-2532
DOI:10.3109/03602538409015059
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 8. |
The Problem of Choosing Weights in Nonlinear Regression Analysis of Pharmacokinetic Data |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 133-148
PeckCarl C.,
SheinerLewis B.,
NicholsAlice I.,
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ISSN:0360-2532
DOI:10.3109/03602538409015060
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 9. |
Population Pharmacokinetics: Introduction |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 151-151
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PDF (54KB)
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ISSN:0360-2532
DOI:10.3109/03602538409015062
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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| 10. |
The Population Approach to Pharmacokinetic Data Analysis: Rationale and Standard Data Analysis Methods |
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Drug Metabolism Reviews,
Volume 15,
Issue 1-2,
1984,
Page 153-171
SheinerLewis B.,
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摘要:
AbstractPopulation pharmacokinetics describe the typical relationships between physiology (both normal and disease altered) and pharmacokinetics, the interindividual variability in these relationships, and their residual intraindividual variability. Knowledge of population kinetics can help one to choose initial drug dosage, to modify dosage appropriately in response to observed drug levels, to make rational decisions regarding certain aspects of drug regulation, and to investigate and elucidate certain research questions in pharmacokinetics. Experimental data from which population kinetics might be estimated often come from only those few individuals both willing and available to be studied. Clinical data from patients undergoing care might be more representative. These data, however, are marked by varying quality, accuracy, and precision, as well as there being few data per patient. Population pharmacokinetic parameters have traditionally been estimated either by fitting all individuals' data together as though there were no individual kinetic differences [the naive pooled data (NPD) approach], or by fitting each individual's data separately and then combining the individual parameter estimates [the two-stage (TS) approach]. These methods have certain theoretical problems which can only be aggravated when the deficiencies of data typical of clinical data are present. In this paper, the standard approaches are discussed and illustrated (using nondeficient data) in order to introduce subsequent papers in which alternative data analysis methods for population parameter estimation are defined, discussed, and compared.
ISSN:0360-2532
DOI:10.3109/03602538409015063
出版商:Taylor&Francis
年代:1984
数据来源: Taylor
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