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Analysis of Quantal Response Data

designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the;

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Analysis of Quantal Response Data

designed to deal with more complicated data and experiments - including much recent research in the area. Throughout mention is given to the;

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Quantal Response Equilibrium

is enhanced by discussion of data from controlled laboratory experiments, along with a detailed users' guide for estimation techniques. Quantal;

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The Foundations of Behavioral Economic Analysis

This fourth volume of The Foundations of Behavioral Economic Analysis covers behavioral game theory. It is an essential guide for advanced;

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Modeling Dose-response Microarray Data in Early Drug Development Experiments Using R

This book focuses on the analysis of dose-response microarray data in pharmaceutical settings, the goal being to cover this important topic;

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Dose-Response Analysis Using R

-response analysis was intimately linked to evaluation of toxicity in terms of binary responses, such as immobility and mortality, with a limited;

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Dose-Response Analysis Using R

of doses of a toxic compound being compared to a control group (dose 0). Later, dose-response analysis has been extended to other types of data and;

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Experimetrics

of experimental data. Peter Moffatt, one of the world's experts in the field, covers a range of techniques: from the familiar, such as treatment testing;

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Handbook of Infectious Disease Data Analysis

Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated;

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Handbook of Infectious Disease Data Analysis

Analysis provides an overview of many key statistical methods that have been developed in response to such new data streams and the associated;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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Incomplete Categorical Data Design

potentially inaccurate data. Addressing this difficulty, non-randomized response approaches enable sample survey practitioners and applied;

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Data Gathering Analysis & Protection Of

Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits;

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Applied Categorical Data Analysis and Translational Research

An updated treatment of categorical data analysis in the biomedical sciences that now explores applications to translational;

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The Strange World of Quantum Mechanics

concepts of probability, and then discusses the Einstein-Podolsky-Rosen paradox and Bell's theorem. Quantal interference and the concept;

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The Strange World of Quantum Mechanics

concepts of probability, and then discusses the Einstein-Podolsky-Rosen paradox and Bell's theorem. Quantal interference and the concept;

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Biostatistics for Epidemiologists

epidemiological data, multivariate models, dose-response analysis, analysis of the interaction between causes of disease, meta-analysis, and computer;

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Drug Synergism and Dose-Effect Data Analysis

data analysis, and even that work did not deal with drug combinations. Although pharmacologists and most other scientists know what synergism;

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Drug Synergism and Dose-Effect Data Analysis

data analysis, and even that work did not deal with drug combinations. Although pharmacologists and most other scientists know what synergism;

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Statistical Methodology in the Pharmaceutical Sciences

: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;

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Statistical Methodology in the Pharmaceutical Sciences

: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data;

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Biomarker Analysis in Clinical Trials with R

pharmaceutical industry on how to incorporate biomarker data analysis in clinical trial studies. The book discusses the appropriate statistical methods;

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Biomarker Analysis in Clinical Trials with R

pharmaceutical industry on how to incorporate biomarker data analysis in clinical trial studies. The book discusses the appropriate statistical methods;

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Categorical Data Analysis and Multilevel Modeling Using R

Categorical Data Analysis and Multilevel Modeling Using R provides a practical guide to regression techniques for analyzing binary, ordinal;

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Stochastic Dynamics of Marine Structures

stochastic modelling and analysis of marine structures subjected to environmental loads. The first part of the book provides a detailed introduction;

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Multivariate Models and Multivariate Dependence Concepts

This book on multivariate models, statistical inference, and data analysis contains deep coverage of multivariate non-normal distributions;

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Probit and Logit Analysis

Discrete data are frequently encountered in the entomological and pathological science of agriculture. The relationship between dose and;

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