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个人简介
Research Interests
Early in my career, my research focused on nonparametric and robust statistical methods; especially linear combinations of order statistics (L-statistics) and robust rank tests. When I learned that these methods were used to analyze time series data in electrical engineering, we investigated the potential impact of dependence on the distribution of these statistics and found that the effect was quite noticeable. Later I became interested in the measurement of economic inequality, which led to several papers concerning the Lorenz curve and Gini index. This naturally led to developing methods for analyzing salary data for evidence of discrimination and my continuing work on problems arising in legal applications of statistics.
I was fortunate to have many fine Ph.D. students. As several of them are in the area of biostatistics, we have conducted research on topics that are intellectually related to robust methods or techniques used in economics and law. In genetic epidemiology, the underlying mode of inheritance is often not known very precisely so we adapted the efficiency robustness approach to obtain tests with high power over a class of models. The problem of assessing whether an omitted variable could change a statistical conclusion arises in case-control studies and in the analysis of employment data as both applications deal with observational studies rather than randomized designed ones. As the issues involved in assessing minority health disparities are quite similar to those arising in studying economic discrimination, we are adapting some regression techniques used in EEO cases for the analysis of data from complex surveys used in studying health inequalities.
Early in my career, my research focused on nonparametric and robust statistical methods; especially linear combinations of order statistics (L-statistics) and robust rank tests. When I learned that these methods were used to analyze time series data in electrical engineering, we investigated the potential impact of dependence on the distribution of these statistics and found that the effect was quite noticeable. Later I became interested in the measurement of economic inequality, which led to several papers concerning the Lorenz curve and Gini index. This naturally led to developing methods for analyzing salary data for evidence of discrimination and my continuing work on problems arising in legal applications of statistics.
I was fortunate to have many fine Ph.D. students. As several of them are in the area of biostatistics, we have conducted research on topics that are intellectually related to robust methods or techniques used in economics and law. In genetic epidemiology, the underlying mode of inheritance is often not known very precisely so we adapted the efficiency robustness approach to obtain tests with high power over a class of models. The problem of assessing whether an omitted variable could change a statistical conclusion arises in case-control studies and in the analysis of employment data as both applications deal with observational studies rather than randomized designed ones. As the issues involved in assessing minority health disparities are quite similar to those arising in studying economic discrimination, we are adapting some regression techniques used in EEO cases for the analysis of data from complex surveys used in studying health inequalities.
研究兴趣
论文共 301 篇作者统计合作学者相似作者
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AMERICAN STATISTICIANno. 2 (2024): 253-263
Statistics and public policypp.1-17, (2024)
Journal of Quantitative Economicsno. Suppl 1 (2022): 261-276
Leadership in Statistics and Data Sciencepp.255-272, (2021)
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作者统计
#Papers: 299
#Citation: 9596
H-Index: 49
G-Index: 89
Sociability: 5
Diversity: 3
Activity: 5
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