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Semiparametric Odds Ratio Model and Its Applications

Hua Yun Chen
€192.20
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Author_Hua Yun Chen
Category=PBT
Common Odds Ratio
Conditional Densities
Conditional Likelihood
Conditional Likelihood Approach
Conditional Models
Conditional Probability Distribution
Contingency Table
density estimation
Density Ratio Models
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Exchangeable Conditions
Gaussian Network
Gaussian Network Model
Gibbs sampler
Joint Density
Joint Model
Maximum Likelihood Estimator
Maximum Semiparametric Likelihood Estimator
missing data
Network Detection
Node Variables
Normal Linear Regression Model
Odds Ratio Functions
Odds Ratio Parameters
Penalty Parameter Values
Prospective Likelihood
Retrospective Likelihood
semiparametirc models
Semiparametric Density
Spectral Density Estimation
survival data

Product details

  • ISBN 9781138485327
  • Weight: 453g
  • Dimensions: 178 x 254mm
  • Publication Date: 20 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Beginning with familiar models and moving onto advanced semiparametric modelling tools Semiparametric Odds Ratio Model and its Applications introduces readers to a new range of flexible statistical models and provides guidance on their application using real data examples. This books range of real-world examples and exploration of common statistical problems makes it an invaluable reference for research professionals and graduate students of biostatistics, statistics, and other quantitative fields.

Key Features:

  • Introduces flexible statistical models that have yet to systematically introduced in course materials.
  • Discusses applications of the proposed modelling framework in several important statistical problems, ranging from biased sampling designs and missing data, graphical models, survival analysis, Gibbs sampler and model compatibility, and density estimation.
  • Includes real data examples to demonstrate the use of the proposed models, and estimation and inference tools.
About Hua Yun Chen

Dr. Hua Yun Chen received his PhD in Biostatistics from the University of Michigan. He is currently a Professor of Biostatistics at the University of Illinois at Chicago. His research focuses on statistical methods for incompletely observed data, biased sampling, and epidemiological applications.

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