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Proportional odds regression and sieve maximum likelihood estimation
Xiaotong Shen
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
67
Scopus citations
Overview
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Dive into the research topics of 'Proportional odds regression and sieve maximum likelihood estimation'. Together they form a unique fingerprint.
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Mathematics
Proportional Odds
84%
Sieve
65%
Maximum Likelihood Estimation
50%
Regression
41%
Baseline
35%
Proportional Odds Model
15%
Interval-censored Data
14%
Unknown
14%
Spatial Structure
14%
Operating Characteristics
13%
Breast Cancer
13%
Maximum Likelihood Method
11%
Unbiased estimator
11%
Censoring
11%
Best Approximation
10%
Small Sample
10%
Spline
9%
Model-based
9%
Knot
9%
Smoothness
9%
Monotone
8%
Simulation
6%
Approximation
5%
Business & Economics
Maximum Likelihood Estimation
100%
Approximation
17%
Censored Data
15%
Censoring
15%
Breast Cancer
14%
Splines
14%
Spatial Structure
13%
Maximum Likelihood
10%
Small Sample
10%
Estimator
8%
Simulation
7%
Agriculture & Biology
knots
64%
sieves
63%
breast neoplasms
62%
sampling
19%
methodology
14%
Engineering & Materials Science
Sieves
69%
Maximum likelihood estimation
62%
Splines
17%
Maximum likelihood
17%
Medicine & Life Sciences
Datasets
7%
Breast Neoplasms
5%