Design of experiments and advanced statistical techniques in clinical research / D. M. Basavarajaiah, Bhamidipati Narasimha Murthy.

Format:

Book

Author/Creator:

Basavarajaiah, D. M., author.

Narasimha Murthy, Bhamidipati, author.

Language:

English

Subjects (All):

Clinical trials--Statistical methods.

Clinical trials.

Physical Description:

1 online resource (XXXV, 356 p. 190 illus., 133 illus. in color.)

Edition:

1st ed. 2020.

Place of Publication:

Springer Singapore 2020

Gateway East, Singapore : Springer, [2020]

Summary:

Recent Statistical techniques are one of the basal evidence for clinical research, a pivotal in handling new clinical research and in evaluating and applying prior research. This book explores various choices of statistical tools and mechanisms, analyses of the associations among different clinical attributes. It uses advanced statistical methods to describe real clinical data sets, when the clinical processes being examined are still in the process. This book also discusses distinct methods for building predictive and probability distribution models in clinical situations and ways to assess the stability of these models and other quantitative conclusions drawn by realistic experimental data sets. Design of experiments and recent posthoc tests have been used in comparing treatment effects and precision of the experimentation. This book also facilitates clinicians towards understanding statistics and enabling them to follow and evaluate the real empirical studies (formulation of randomized control trial) that pledge insight evidence base for clinical practices. This book will be a useful resource for clinicians, postgraduates scholars in medicines, clinical research beginners and academicians to nurture high-level statistical tools with extensive scope.

Contents:

Design of Clinical Research and its Practical Approach

Advanced Design of Experiment Approach to Clinical and Medical Research

Random Forest and Concept of Decision Tree Model

Application of Machine Learning in Medical Research

Statistical Genetic and its Application in Drug Trail

Statistical Implications for Estimation of Genetic Traits in Human Vaccine Trail

Statistical Implications and its Practical Approach to Research Methodology

Statistical Models Approach to Life Threatened Diseases

Meta Analysis in Clinical and Life Science Research

Pharmokinitic and Statistical Modelling

Imputation Methods Approach to Clinical and Life Science Research Data Sets

Ethical Perspective of Medical Research.

Notes:

Description based on print version record.

ISBN:

9789811582103

9811582106