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- Meta-analysis of Binary Data Using Profile Likelihood
Meta-analysis of Binary Data Using Profile Likelihood
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Product Details
Author:
Dankmar Bohning, Sasivimol Rattanasiri, Ronny Kuhnert
Format:
Paperback
Pages:
208
Publisher:
CRC Press (October 21, 2019)
Language:
English
ISBN-13:
9780367387570
Weight:
16oz
Dimensions:
6.125" x 9.1875"
File:
TAYLORFRANCIS-TayFran_260122055321541-20260122.xml
Folder:
TAYLORFRANCIS
List Price:
$89.99
Country of Origin:
United States
Series:
Chapman & Hall/CRC Interdisciplinary Statistics
As low as:
$85.49
Publisher Identifier:
P-CRC
Discount Code:
H
Pub Discount:
30
Imprint:
Chapman and Hall/CRC
Case Pack:
1
Overview
Illustrating the use of meta-analysis in many real-world trial examples, this work focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It explores alternatives to the profile likelihood method, including approximated likelihood and multilevel models, and shows how the nonparametric profile maximum likelihood estimator can be computed via the EM algorithm with a gradient function update. The authors explain how to test for and determine the amount of heterogeneity in an MAIPD. They also highlight the application of the software program CAMAP for analyzing an MAIPD and offer the software for free online.
