Cantitate/Preț
Produs
Total produse
Vezi coșul
Multivariable Model - Building de Patrick Royston

Multivariable Model - Building

Autor Patrick Royston, Willi Sauerbrei
en Limba Engleză Hardback – iun 2008
Multivariable regression models are of fundamental importance in all areas of science in which empirical data must be analyzed. This book proposes a systematic approach to building such models based on standard principles of statistical modeling.
Citește tot Restrânge

Preț: 75181 lei

Preț vechi: 82617 lei
-9%

Puncte Express: 1128
Preț estimativ în valută:
13285€ • 15414$ • 11592£

Carte tipărită la comandă

Livrare economică 16-30 aprilie

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9780470028421
ISBN-10: 0470028424
Pagini: 328
Dimensiuni: 175 x 250 x 22 mm
Greutate: 0.74 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom

Public țintă

Primarily aimed at statisticians working in the health sciences and epidemiologists, university lecturers and postgraduate students studying courses in regression modeling will also find much of interest. As will consulting statisticians and those in the pharmaceutical industry.

Notă biografică

Patrick Royston DSc, is a senior statistician and cancer clinical realist at the MRC Clinical Trials Unit, London, an honorary professor of statistics at University College London and a fellow of the Royal Statistical Society. he has authored many research papers in biostatistics, and has published over 150 articles in leading statistical journals. Patrick is an experienced statistical consultant, Stata programmer and software author.Willi Sauerbrei PhD, is a senior statistician and professor in medical biometry at the IMBI, University Medical Center Freiburg. He has authored many research papers in biostatistics and has published over 100 articles in leading statistical and clinical journals. He worked for more than two decades as an academic biostatistician and has extensive experience of cancer research, with a particular concern for breast cancer.