Danyu Lin

Genetics · 2000–2019

A researcher in the Science corpus: 19 papers; trusts 34 researchers and is trusted by 56 researchers here, as inferred from the citation graph.

Subfields

• Genetics — 72 citations into it; #1,689 of 6,854 by trust here, #1,214 by citations
• Statistics and Probability — 68 citations into it; #778 of 12,932 by trust here, #1,123 by citations
• Molecular Biology — 46 citations into it
• Statistical Learning Theory — 17 citations into it
• Artificial Intelligence — 11 citations into it; #26,788 of 35,345 by trust here, #34,213 by citations
• Economics and Econometrics — 5 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Danyu Lin trusts overall

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

1. Lee-Jen Wei
2. K. Liang
3. Zhezhen Jin
4. Zhiliang Ying
5. Arthur P. Dempster
6. Zhaohui S. Qin
7. Tianhua Niu
8. Scott Zeger
9. John D. Kalbfleisch
10. N. Breslow

Who trusts Danyu Lin overall

1. Jianqing Fan
2. Donglin Zeng
3. Jianguo Sun
4. Gareth M. James
5. Yanqing Sun
6. Liuquan Sun
7. Lan Wang
8. David J. Balding
9. Hulin Wu
10. Xihong Lin

Papers from Danyu Lin's perspective

Ordered by how strongly the researchers Danyu Lin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
2. Semiparametric regression for the mean and rate functions of recurrent events
3. Searching for genetic determinants in the new millennium (Nature)
4. A new statistical method for haplotype reconstruction from population data. (American Journal of Human Genetics)
5. Nonparametric Function Estimation for Clustered Data When the Predictor is Measured without/with Error
6. Rank-based inference for the accelerated failure time model
7. The Statistical Analysis of Failure Time Data: Kalbfleisch/The Statistical
8. Estimation of Regression Coefficients When Some Regressors are not Always Observed
9. Estimating the Dimension of a Model
10. Longitudinal data analysis using generalized linear models

Their papers

• Maximum likelihood estimation in semiparametric regression models with censored data (2007) — 358 citations
• Semiparametric and Nonparametric Regression Analysis of Longitudinal Data (2001) — 308 citations
• Maximum Likelihood Estimation for the Proportional Odds Model With Random Effects (2005) — 65 citations
• Semiparametric regression for the mean and rate functions of recurrent events (2000) — 999 citations
• Rank-based inference for the accelerated failure time model (2003) — 438 citations
• On least-squares regression with censored data (2006) — 246 citations
• Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies (2006) — 152 citations
• Semiparametric Transformation Models With Random Effects for Recurrent Events (2007) — 105 citations
• A mega-analysis of genome-wide association studies for major depressive disorder (2012) — 1,096 citations
• Efficient Estimation for the Accelerated Failure Time Model (2007) — 160 citations
• Semiparametric Transformation Models for Point Processes (2001) — 116 citations
• Genome-wide meta-analyses identify multiple loci associated with smoking behavior (2010) — 1,140 citations
• Cox Regression with Covariate Measurement Error (2002) — 62 citations
• On fitting Cox's proportional hazards models to survey data (2000) — 214 citations
• Genetic analyses of diverse populations improves discovery for complex traits (2019) — 901 citations
• Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways (2015) — 750 citations
• Loss-of-Function Mutations in APOC 3 , Triglycerides , and Coronary Disease (2014) — 861 citations
• Efficient estimation of semiparametric transformation models for counting processes (2006) — 222 citations
• Rank Regression Analysis of Multivariate Failure Time Data Based on Marginal Linear Models (2006) — 53 citations