Dimension reduction summaries for balanced contrasts

DOI10.1016/j.jspi.2008.04.031zbMath1149.62046OpenAlexW2131801536MaRDI QIDQ958817

B. E. Eshmatov

Publication date: 8 December 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2008.04.031

zbMATH Keywords

dimension reductionpropensityconditional density ratiossufficient summaryheart disease cohort study

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Sampling theory, sample surveys (62D05)

Related Items

Splice plots for generalized linear models ⋮ Propensity score modelling in observational studies using dimension reduction methods

Uses Software

• ARC

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Conditionally specified models and dimension reduction in the exponential families
• Confounding and collapsibility in causal inference
• Alternative statistical models and representations for large sparse multi-dimensional contingency tables
• Smoothing categorical data
• The central role of the propensity score in observational studies for causal effects
• Sliced Inverse Regression for Dimension Reduction
• Robust logistic discrimination
• On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma
• Inferences for case-control and semiparametric two-sample density ratio models
• The role of the propensity score in estimating dose-response functions
• Causal Inference With General Treatment Regimes
• Comment