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Clinical Trial Optimization Using R

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy;

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Clinical Trial Optimization Using R

Clinical Trial Optimization Using R explores a unified and broadly applicable framework for optimizing decision making and strategy;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation;

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Clinical Trial Data Analysis Using R and SAS

. -Journal of Statistical Software Clinical Trial Data Analysis Using R and SAS, Second Edition provides a thorough presentation of biostatistical;

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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework for;

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Innovative Strategies, Statistical Solutions and Simulations for Modern Clinical Trials

tactics and techniques to support such optimization, including clinical trial simulations. Provides a statistical framework;

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Optimization Modelling Using R

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually every industry. The;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Statistical Methods for Survival Trial Design

Statistical Methods for Survival Trial Design: With Applications to Cancer Clinical Trials Using R provides a thorough presentation of the;

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/SIMULINK (R)

evolution used for intelligent applications. Computational Intelligence Paradigms for Optimization Problems Using MATLAB (R)/ Simulink (R;

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Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SAS

Improve efficiency while reducing costs in clinical trials with centralized monitoring techniques using JMP and SAS.International;

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Applied Probabilistic Calculus for Financial Engineering

Engineering: An Introduction Using R provides R recipes for asset allocation and portfolio optimization problems. It begins by introducing all the;

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Modern Optimization with R

and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are;

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Introductory Adaptive Trial Designs

All the Essentials to Start Using Adaptive Designs in No Time Compared to traditional clinical trial designs, adaptive designs often;

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Introductory Adaptive Trial Designs

All the Essentials to Start Using Adaptive Designs in No Time Compared to traditional clinical trial designs, adaptive designs often;

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Design Optimization using MATLAB and SOLIDWORKS

A unique text integrating numerics, mathematics and applications to provide a hands-on approach to using optimization techniques, this;

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Applied Surrogate Endpoint Evaluation Methods with SAS and R

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment's;

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Applied Surrogate Endpoint Evaluation Methods with SAS and R

An important factor that affects the duration, complexity and cost of a clinical trial is the endpoint used to study the treatment's;

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A Derivative-free Two Level Random Search Method for Unconstrained Optimization

new derivative-free optimization method/algorithm based on randomly generated trial points in specified domains and where the best ones are;

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Adaptive Design Theory and Implementation Using SAS and R

R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the;

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Adaptive Design Theory and Implementation Using SAS and R

R, Second Edition offers a detailed framework to understand the use of various adaptive design methods in clinical trials. New to the;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply;

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Stochastic Process Optimization using Aspen Plus (R)

Stochastic Process Optimization using Aspen (R) Plus Bookshop Category: Chemical Engineering Optimization can be simply defined as;

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Spreadsheet Modeling & Decision Analysis

analytics techniques using Microsoft (R) Office Excel (R) 2016. Author Cliff Ragsdale -- respected innovator in business analytics -- guides you;

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Modern Approaches to Clinical Trials Using SAS

Get the tools you need to use SAS® in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS;

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