Cantitate/Preț
Produs

Statistical Remedies for Medical Researchers: Springer Series in Pharmaceutical Statistics

Autor Peter F. Thall
en Limba Engleză Paperback – 13 mar 2021
This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious.  For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 51716 lei  6-8 săpt.
  Springer International Publishing – 13 mar 2021 51716 lei  6-8 săpt.
Hardback (1) 68929 lei  6-8 săpt.
  Springer International Publishing – 13 mar 2020 68929 lei  6-8 săpt.

Din seria Springer Series in Pharmaceutical Statistics

Preț: 51716 lei

Preț vechi: 60842 lei
-15% Nou

Puncte Express: 776

Preț estimativ în valută:
9901 10291$ 8209£

Carte tipărită la comandă

Livrare economică 06-20 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030437169
ISBN-10: 3030437167
Pagini: 291
Ilustrații: XI, 291 p. 42 illus., 12 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.43 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Springer Series in Pharmaceutical Statistics

Locul publicării:Cham, Switzerland

Cuprins

1 Why Bother With Statistics?.- 2 Frequentists and Bayesians.- 3 Knocking Down the Straw Man.- 4 Science and Belief.- 5 The Perils of P-values.- 6 Flipping Coins.- 7 All Mixed Up.- 8 Sex, Biomarkers, and Paradoxes.- 9 Crippling New Treatments.- 10 Just Plain Wrong.- 11 Getting Personal.- 12 Multistage Treatment Regimes.- References.

Recenzii

“This is an excellent book ... written primarily for medical researchers and statisticians working in the medical research sector. ... I'd conclude by extending my hearty congratulations to the author for contributing such a wonderful volume to the biostatistics literature.” (Bibhas Chakraborty, International Statistical Review, Vol. 88 (3), 2020)
“This book can be recommended to a statistician that is starting a career in drug development and pharma research, or a statistician in this area willing to receive some food for thought and foster critical thinking.” (ISCB News, iscb.info, Issue 70, December, 2020)



Notă biografică

Peter F. Thall is the Anise J. Sorrell Professor at the Department of Biostatistics at M.D. Anderson Cancer Center. He is a Fellow of the American Statistical Association and The Society for Clinical Trials, and received the Owen Award in 2014.  He has published over 250 papers and book chapters in the statistical and medical literature, and co-authored the book Bayesian Designs for Phase I-II Clinical Trials. His research areas include clinical trial design, precision medicine, Bayesian nonparametric statistics, incorporating expert opinion in Bayesian inference, and dynamic treatment regimes. He has presented over 200 invited talks and 30 short courses, and has served as an associate editor for Journal of the National Cancer Institute, Statistics in Medicine, Statistics in Biosciences, Clinical Trials, and Biometrics.

Textul de pe ultima copertă

This book illustrates numerous statistical practices that are commonly used by medical researchers, but which have severe flaws that may not be obvious.  For each example, it provides one or more alternative statistical methods that avoid misleading or incorrect inferences being made. The technical level is kept to a minimum to make the book accessible to non-statisticians. At the same time, since many of the examples describe methods used routinely by medical statisticians with formal statistical training, the book appeals to a broad readership in the medical research community.

Caracteristici

Includes examples of a wide variety of common statistical errors and misconceptions in medical data analysis and clinical trial design, with at least one alternative solution for each problem, to provide statistical tools that can be used in practice Written in an informal style with technical content kept to a reasonably low level, making it accessible to non-statisticians as well as statisticians Is the first book of its kind for the medical research community