Design of Experiments and Advanced Statistical Techniques in Clinical Research - Rilegato

M., Basavarajaiah D.; Murthy, Bhamidipati Narasimha

Rilegato

ISBN 10: 9811582092 ISBN 13: 9789811582097

Casa editrice: Springer Nature, 2020

Riassunto

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.

Su questo libro

Informazioni sull?autore

Dr. Basavarajaiah D. M. working as an Associate Professor and Head, Department of Statistics and Computer Science, Karnataka Veterinary Animal and Fisheries Sciences University (B), Hebbal, Bangalore. He obtained Ph.D from National Institute of Epidemiology (NIE), ICMR, Chennai, (affiliated from University of Madras).His area of research heeds Statistical theory, Statistical modeling on high dimensional datasets of Agriculture, Medicine, Veterinary and animal Sciences. He penned seventy research articles and seven academic books published in national and reputed International publishers (Springer nature group). Serving as an editorial Board Member and Scientific Board advisor of various International indexed journals. Life Member of numerous academic organizations. Honoured several accolades for his academic and research Excellency “Chartered Scientist award stalwart by Science Council, United Kingdom in Collaboration with Royal Statistical Society. Best Reviewer award -2016‘TRANS STELLAR’ Journal Publications and Research Consultancy, TJPRC Ltd., (NAAS rated Journals), Fellow of Royal Statistical Society ,UK (London), Fellow of Mathematical Society ,UK (London), Bharathshikshratana and Indo-Dubai Achiever’s Pacific award honoured by Global Society of health and educational growth new Delhi, Best reviewer-2015, Best Scientific Board advisor - 2016 and Best editorial and researcher award bestowed by International academy of Engineering Science and technology, USA. He delegate power as an active member of Board of Studies and Academic Council of various Universities.

Professsor Narasimha Murthy is a well-known academician and researcher, Former Scientist ‘G’ (Director Grade cadre), National Institute of Epidemiology of ICMR, Chennai. Now, National Level Monitor, National Health Mission, MOH&FW, Government of India. He obtained PhD from International Institute for Population Science (IIPS), affiliated to Bombay University (1985). His areas of research are mainly Mathematical Statistics, Operational research, Clinical research, Public health, Demography and Vital Statistics, Mathematical modeling with respect to Medical Science and Public health. He penned more than 100 research articles published in reputed National and International Journals.  Serving as an editorial Board Member and Scientific Board advisor of various International indexed MCI and UGC recognized journals. Life Member of various academic organizations and professional societies. He honoured several accolades for his academic and research Excellency viz Prof. R. N. Srivastava gold medal award, ‘Bharat Jyothi Award’, ‘Best Citizens of India award etc. He serves as a member of Board of Studies of various National Universities (University of Madras, Acharya Nagarjuna University &University of Kerala) and also a visiting emeritus Professor of Johns Hopkins University, Bloomberg School of Public Health, Baltimore, Maryland, North Carolina University USA, etc. Reviewer of National and International Journals.

Dalla quarta di copertina

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.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 9811582092
• ISBN 13: 9789811582097
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 356
• Contatto del produttore: non disponibile
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