Statistical Hypothesis Testing in Context: Volume 52: Reproducibility, Inference, and Science - Rilegato

Fay, Michael P.; Brittain, Erica H.

Rilegato

ISBN 10: 1108423566 ISBN 13: 9781108423564

Casa editrice: Cambridge University Press, 2022

Riassunto

This coherent guide equips applied statisticians to make good choices and proper interpretations in real investigations facing real data.

Su questo libro

Informazioni sugli autori

Michael P. Fay is a Mathematical Statistician at the National Institute of Allergy and Infectious Diseases, and previously worked at the National Cancer Institute. He has served as associate editor for Biometrics, and is currently an associate editor for Clinical Trials and a Fellow of the American Statistical Association. He is a co-author on over 100 papers in statistical and medical journals and has written and maintains over a dozen R packages on CRAN.

Erica H. Brittain is Deputy Branch Chief of Biostatistics Research at the National Institute of Allergy and Infectious Diseases and has well over three decades of experience as a statistician, with previous positions at FDA, National Heart, Lung, and Blood Institute, and a statistical consulting company. Her applied work at NIH and her methodological publications in statistical journals focus on innovation in clinical trial design. She frequently serves on advisory panels for FDA and NIH, and has served as Statistical Consultant for Nature journals and Associate Editor for Controlled Clinical Trials.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1108423566
• ISBN 13: 9781108423564
• Rilegatura: Copertina rigida
• Numero di pagine: 448
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Europaallee 1; Bad Hersfeld; 36244; Germania