Skip to main navigation
Skip to search
Skip to main content
Johns Hopkins University Home
Home
Profiles
Research units
Research output
Search by expertise, name or affiliation
Lorelogram: A regression approach to exploring dependence in longitudinal categorical responses
Patrick J. Heagerty,
Scott L. Zeger
Bloomberg School of Public Health
Research output
:
Contribution to journal
›
Article
›
peer-review
42
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Lorelogram: A regression approach to exploring dependence in longitudinal categorical responses'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Categorical
100%
Odds Ratio
84%
Regression
81%
Pairwise
62%
Dependence Function
51%
Generalized Additive Models
49%
Measures of Association
47%
Parametric equations
46%
Odds
46%
Binary Response
43%
Binary Data
41%
Smoothing Parameter
41%
Estimating Equation
40%
Regression Estimator
39%
Dependence Structure
39%
Longitudinal Data
37%
Nonparametric Estimation
37%
Methodology
25%
Interpretation
25%
Analogue
23%
Standards
19%
Estimate
16%
Business & Economics
Odds Ratio
93%
Measures of Association
56%
Longitudinal Data
55%
Generalized Additive Models
54%
Binary Response
52%
Nonparametric Estimation
44%
Dependence Structure
41%
Smoothing
38%
Estimator
28%