Joseph G. Ibrahim

Statistics and Probability · 2000–2018

A researcher in the Science corpus: 22 papers; trusts 44 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 79 citations into it; #1,683 of 12,932 by trust here, #1,860 by citations
• Molecular Biology — 22 citations into it
• Artificial Intelligence — 17 citations into it; #8,931 of 35,345 by trust here, #16,771 by citations
• Management Science and Operations Research — 8 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it

Whom Joseph G. Ibrahim trusts overall

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

1. Geert Molenberghs
2. Ming-Hui Chen
3. Greg C. G. Wei
4. James M. Robins
5. Donald B. Rubin
6. Subir Ghosh
7. Geert Verbeke
8. Andrea Rotnitzky
9. Roderick J. A. Little
10. Michael J. Daniels

Who trusts Joseph G. Ibrahim overall

1. Ming-Hui Chen
2. Mark F. J. Steel
3. Sik-Yum Lee
4. Matt P. Wand
5. Jiwei Zhao
6. Heinz Schmidli
7. Geert Molenberghs
8. Josemar Rodrigues
9. Yeongjin Gwon
10. Yingbo Li

Papers from Joseph G. Ibrahim's perspective

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

1. Generalized Linear Models
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
6. Statistical Analysis With Missing Data
7. Joint modelling of longitudinal measurements and event time data. (Biostatistics)
8. Linear Mixed Models for Longitudinal Data
9. Analysis of semiparametric regression models for repeated outcomes in the presence of missing data
10. INFERENCE AND MISSING DATA

Their papers

• Power prior distributions for regression models (2000) — 817 citations
• The relationship between the power prior and hierarchical models (2006) — 102 citations
• Monte Carlo Methods in Bayesian Computation (2000) — 367 citations
• Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Effects Models With Nonnormal Random Effects (2006) — 84 citations
• Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable (2001) — 239 citations
• Bayesian methods for generalized linear models with covariates missing at random (2002) — 109 citations
• Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model (2001) — 94 citations
• On Optimality Properties of the Power Prior (2003) — 117 citations
• Power prior distributions for generalized linear models (2000) — 98 citations
• Prior elicitation for model selection and estimation in generalized linear mixed models (2003) — 47 citations
• Using auxiliary data for parameter estimation with non‐ignorably missing outcomes (2001) — 79 citations
• Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences (2018) — 1,744 citations
• The Power Prior: Theory and Applications (2015) — 326 citations
• Handbook of survival analysis (2014) — 195 citations
• Missing data methods in longitudinal studies: a review (2009) — 472 citations
• Perturbation selection and influence measures in local influence analysis (2007) — 119 citations
• Bayesian Survival Analysis (2004) — 560 citations
• A Bayesian justification of Cox's partial likelihood (2003) — 94 citations
• Conjugate priors for generalized linear models (2003) — 84 citations
• Estimating Cure Rates From Survival Data (2003) — 297 citations