•  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous     
  •  Retrait gratuit dans votre magasin Club
  •  7.000.000 titres dans notre catalogue
  •  Payer en toute sécurité
  •  Toujours un magasin près de chez vous

Livres

Ebooks

Papeterie

Jeux

Cadeaux

Tous les produits

Dédicaces

Jobs

Articles

  1. Accueil
  2. Livres
  3. Sciences humaines
  4. Sciences
  5. Technique
  6. Chimie industrielle & Procédés de production
  7. Applied Meta-Analysis with R and Stata

Applied Meta-Analysis with R and Stata

Ding-Geng (Din) Chen, Karl E Peace
Livre broché | Anglais | Chapman & Hall/CRC Biostatistics
62,45 €
+ 124 points
Format
Livraison 1 à 2 semaines
Passer une commande en un clic
Payer en toute sécurité
Livraison en Belgique: 3,99 €
Livraison en magasin gratuite

Description

Review of the First Edition:

The authors strive to reduce theory to a minimum, which makes it a self-learning text that is comprehensible for biologists, physicians, etc. who lack an advanced mathematics background. Unlike in many other textbooks, R is not introduced with meaningless toy examples; instead the reader is taken by the hand and shown around some analyses, graphics, and simulations directly relating to meta-analysis... A useful hands-on guide for practitioners who want to familiarize themselves with the fundamentals of meta-analysis and get started without having to plough through theorems and proofs.

-Journal of Applied Statistics

Statistical Meta-Analysis with R and Stata, Second Edition

 provides a thorough presentation of statistical meta-analyses (MA) with step-by-step implementations using R/Stata. The authors develop analysis step by step using appropriate R/Stata functions, which enables readers to gain an understanding of meta-analysis methods and R/Stata implementation so that they can use these two popular software packages to analyze their own meta-data. Each chapter gives examples of real studies compiled from the literature. After presenting the data and necessary background for understanding the applications, various methods for analyzing meta-data are introduced. The authors then develop analysis code using the appropriate R/Stata packages and functions.

What's New in the Second Edition:

  • Adds Stata programs along with the R programs for meta-analysis

  • Updates all the statistical meta-analyses with R/Stata programs

  • Covers fixed-effects and random-effects MA, meta-regression, MA with rare-event, and MA-IPD vs MA-SS

  • Adds five new chapters on multivariate MA, publication bias, missing data in MA, MA in evaluating diagnostic accuracy, and network MA

    • Suitable as a graduate-level text for a meta-data analysis course, the book is also a valuable reference for practitioners and biostatisticians (even those with little or no experience in using R or Stata) in public health, medical research, governmental agencies, and the pharmaceutical industry.

    Spécifications

    Parties prenantes

    Auteur(s) :
    Ding-Geng (Din) ChenKarl E Peace
    Editeur:
    CRC Press

    Contenu

    Nombre de pages :
    424
    Langue:
    Anglais
    Collection :
    Chapman & Hall/CRC Biostatistics

    Caractéristiques

    EAN:
    9780367709341
    Date de parution :
    26-09-22
    Format:
    Livre broché
    Format numérique:
    Trade paperback (VS)
    Dimensions :
    156 mm x 234 mm
    Poids :
    635 g

    Les avis