Li‐Pang Chen

Biometrics · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Li‐Pang Chen trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Raymond J. Carroll
2. Alexander Kukush
3. John P. Buonaccorsi

Papers from Li‐Pang Chen's perspective

Ordered by how strongly the researchers Li‐Pang Chen trusts endorse each paper. Same corpus, a different order for every researcher.

1. Selecting the Number of Knots for Penalized Splines
2. A Simplex Method for Function Minimization
3. A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments
4. The validity of self-reported energy intake as determined using the doubly labelled water technique (British Journal of Nutrition)
5. Direct generalized additive modeling with penalized likelihood
6. Statistical Analysis of Non-Lattice Data
7. Using Heteroscedasticity Consistent Standard Errors in the Linear Regression Model
8. Generalized Additive Models: An Introduction With R
9. Conservative prior distributions for variance parameters in hierarchical models
10. Bayesian Smoothing and Regression Splines for Measurement Error Problems

Their papers

• Statistical analysis with measurement error or misclassification: Strategy, method and application. Grace Y. Yi. New York: Springer‐Verlag. (2019) — 70 citations