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DESIGN OF EXPERIMENTS AND ADVANCED STATISTICAL TECHNIQUES IN CLINICAL RESEARCH.

D. M., BASAVARAJAIAH. NARASIMHA MURTHY, BHAMIDIPATI.
2020
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Title
DESIGN OF EXPERIMENTS AND ADVANCED STATISTICAL TECHNIQUES IN CLINICAL RESEARCH.
Author
D. M., BASAVARAJAIAH. NARASIMHA MURTHY, BHAMIDIPATI.
ISBN
9789811582103 (electronic book)
9811582106 (electronic book)
9811582092
9789811582097
DOI
https://doi.org/10.1007/978-981-15-8210-3
Publication Details
[S.l.] : SPRINGER VERLAG, SINGAPOR, 2020.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-15-8210-3 doi
Dewey Decimal Classification
610
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.
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text file PDF
Available in Other Form
Print version: 9789811582097
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Intro
Preface
Acknowledgments
Contents
About the Authors
List of Figures
List of Tables
1: Designs of Clinical Research and Its Practical Approach
1.1 Introduction
1.1.1 Identification of Research Problem
1.1.2 Literature Survey
1.1.3 Formulating the Research Question
1.1.4 Research Proposal Writing
1.1.5 Institutional Review Board (IRB)
1.1.6 Data Collection and Compilation
1.1.7 Dissemination
1.2 Practical Implication of Study Design in Clinical Research
1.2.1 Objectives of the Book

1.3 Statistical Historical Perspectives of Clinical Trail
1.4 Global Milestone
1.4.1 Indian Milestone
1.5 Clinical Research
1.5.1 Intervention
1.5.2 Nonintervention
1.6 Types of Clinical Research
1.6.1 Patient-Oriented Research
1.6.2 Epidemiological and Behavioral Studies
1.6.3 Outcome and Health-Related Services Research
1.7 Risk in Clinical Research
1.8 Clinical Trial
1.8.1 Treatment Trial
1.8.2 Prevention Trial
1.8.3 Quality of Life Trial
1.8.4 Diagnostic Trial
1.9 Glossary
1.10 Brief Concept of Study Design
1.11 Experimental Study

1.11.1 Randomized Controlled Trail (RCT)
1.11.2 Non-randomized Controlled Trail (RCT)
1.12 Randomization Study
1.12.1 Salient Properties of Randomization
1.12.2 Elimination of Selection Effects
1.12.3 Preclude for Effective Statistical Inference
1.12.4 Subject Assignment-Randomly Assigned Subject to Treatment Groups
1.13 Non-randomization
1.13.1 Cohort Study
1.13.1.1 Elements of Cohort Study Design
1.13.2 Selection of Study Subjects
1.13.3 Carrying Out Research on Special Populations
1.13.4 Justice
1.13.5 Obtaining Data Sets on Exposure

1.13.6 Selection of Comparison
1.13.7 Follow-Up Record
1.13.8 Compilation and Inference
1.13.9 Strength of Cohort Study
1.13.10 Weakness of Cohort Study Design
1.14 Cross-Sectional Study
1.15 Longitudinal Study
1.16 Prospective Study
1.17 Retrospective Study: Case-Control
1.18 Case-Control Study
1.19 Open and Double-Blind Trials
1.20 Open Trial
1.21 Double-Blind Trials
1.22 Some Special Problems of Double-Blind Trials
1.23 Color Matching
1.23.1 Dosage Matching
1.23.2 Duration Matching
1.23.3 Time of Administration and Matching

1.23.4 Data Collection and Quality Assurance
1.23.5 Baseline Visit
1.23.6 Follow-Up Visit
1.23.7 Follow-Up Visits Key Points
1.23.8 Visit Time Limits
1.23.9 Quality Assurance
1.23.10 Visual Check
1.23.11 Data Entry and Verification
1.23.12 Data Edit
1.23.13 Replication
1.23.14 Quality Control of Lab Data
1.23.15 Site Visits
1.23.15.1 Patient Follow-Up
1.23.15.2 Patient Close-Out
1.23.15.3 Patient Post-trial Follow-Up
1.24 Management of Investigator and Patient Interest
1.24.1 During Follow-Up
1.24.2 Investigator Interest

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