Nonlinear models for repeated measurement data
Marie Davidian
Reading Time
at 250 WPM6 hours
The average reader, reading at a speed of 250 WPM, would take 6 hours to read Nonlinear models for repeated measurement data.
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12
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360
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Nonlinear models for repeated measurement data
by Marie Davidian, David .M. Giltinan
Published
2017
Publisher
CRC Press LLC
Pages
360
ISBN-13
9781351428132
Description
Nonlinear measurement data arise in a wide variety of biological and biomedical applications, such as longitudinal clinical trials, studies of drug kinetics and growth, and the analysis of assay and laboratory data. Nonlinear Models for Repeated Measurement Data provides the first unified development of methods and models for data of this type, with a detailed treatment of inference for the nonlinear mixed effects model and its extensions. A particular strength of the book is the inclusion of several detailed case studies from the areas of population pharmacokinetics and pharmacodynamics, immunoassay and bioassay development and the analysis of growth curves.
Subjects
Fooled by randomness
Biostatistical analysis
Introductory applied biostatistics
Statistical methods for research workers
Principles and procedures of statistics
The structure of social action
Frequently Asked Questions
How many pages are in Nonlinear models for repeated measurement data?
This edition of Nonlinear models for repeated measurement data has approximately 360 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Nonlinear models for repeated measurement data?
For most readers, Nonlinear models for repeated measurement data typically takes between 7h 30m and 5h 0m to complete. This is based on the book's length of approximately 90,000 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 0m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 90,000 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Nonlinear models for repeated measurement data?
The estimated word count for Nonlinear models for repeated measurement data is approximately 90,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Nonlinear models for repeated measurement data?
Nonlinear models for repeated measurement data was written by Marie Davidian, David .M. Giltinan.
When was Nonlinear models for repeated measurement data published?
The publication date for this specific edition is 2017. The original work may have been published on a different date.