Statistical Methods for Meta-Analysis - Image 1

£43.99

Academic Press Statistical Methods for Meta-Analysis

Name: Statistical Methods for Meta-Analysis
Brand: Academic Press
Price: 43.99 GBP
Availability: InStock

Higher Education

It has never been this cheap. We have no record of a lower price.

£44 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 68 days · 68 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 68 days • 1 price levels

Days at Price

Price Analysis

Most common price: £44 (68 days, 100.0%)

Price range: £44 - £44

Price levels: 1 different prices over 68 days

Description

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader. Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

Product Specifications

Brand: Academic Press
Format: hardcover
ASIN: 0123363802
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Education > Higher Education
Domain: Amazon UK
Release Date: 14 July 1985
Listed Since: 06 February 2007

Barcode

No barcode data available

Academic Press Statistical Methods for Meta-Analysis

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Applied Meta-Analysis with R and Stata - CRC Press Book

Understanding The New Statistics: Effect Sizes, Confidence Intervals, and Meta-Analysis (Multivariate Applications Series)

Methods for Meta-Analysis in Medical Research: 387 (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section)

Meta-analysis, Decision Analysis and Cost-effectiveness Analysis: Methods for Quantitative Synthesis in Medicine: v.24 (Monographs in Epidemiology & Biostatistics)

Multivariate Statistical Methods: A Primer

BMJ Books Medical Statistics - SPSS and Data Analysis Guide

Meta-Analysis of Controlled Clinical Trials: 7 (Statistics in Practice)

Understandable Statistics: Concepts and Methods, Enhanced

Making Sense of Statistical Methods in Social Research

Statistics: Principles and Methods, EMEA Edition

Statistical Questions In Evidence-Based Medicine

Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

Statistical Computing: An Introduction to Data Analysis using S-Plus

Modern Meta-Analysis: Review and Update of Methodologies

Statistical Modeling and Applications in Data Analysis

Statistics for Biologists 3ed

StataQuest 4 Windows 95 Version

Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, With Applications in SPSS and R