Lexin Li

Works (37)

Updated: July 10th, 2023 06:30

2018 article

Tensor Generalized Estimating Equations for Longitudinal Imaging Analysis

Zhang, X., Li, L., Zhou, H., Zhou, Y., & Shen, D. (2018, February 8). Statistica Sinica.

By: X. Zhang n, L. Li*, H. Zhou*, Y. Zhou * & D. Shen *

author keywords: Generalized estimating equations; longitudinal imaging; low rank tensor decomposition; magnetic resonance imaging; multidimensional array; tensor regression
topics (OpenAlex): Tensor decomposition and applications; Advanced Neuroimaging Techniques and Applications; Sparse and Compressive Sensing Techniques
TL;DR: The proposed GEE approach accounts for intra-subject correlation, and an imposed low-rank structure on the coefficient tensor effectively reduces the dimensionality in several tensor generalized estimating equations (GEEs). (via Semantic Scholar)
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Source: Web Of Science
Added: September 30, 2019

2014 article

Forward Stagewise Shrinkage and Addition for High Dimensional Censored Regression

Guo, Z., Lu, W., & Li, L. (2014, April 29). Statistics in Biosciences, Vol. 7, pp. 225–244.

By: Z. Guo n, W. Lu n  & L. Li n

author keywords: Adaptive LASSO; Boosting; Forward stagewise regression; Proportional hazards model; Variable selection
topics (OpenAlex): Statistical Methods and Inference; Image and Signal Denoising Methods; Sparse and Compressive Sensing Techniques
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2013 article

Goodness-of-fit testing-based selection for large-p-small-n problems: A two-stage ranking approach

Ding, X., Li, L., & Zhu, L. (2013, August 31). Journal of Statistical Planning and Inference.

By: X. Ding *, L. Li n & L. Zhu *

author keywords: Backward screening; Linear model; Marginal effect; Sequential goodness-of-fit testing
topics (OpenAlex): Multi-Criteria Decision Making; Advanced Statistical Methods and Models; Statistical Methods and Inference
TL;DR: A k-step marginal F-test (MFTk) screening in the first stage is developed, equivalent to that used in the sure independence screening (SIS) proposed by Fan and Lv (2008) and makes improvement over the MFT1 mainly on better handling correlations among predictors. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

High-dimensional influence measure

Zhao, J., Leng, C., Li, L., & Wang, H. (2013, October 1). The Annals of Statistics.

By: J. Zhao  n, C. Leng  n, L. Li n & H. Wang  n

author keywords: Cook's distance; high-dimensional diagnosis; influential observation; LASSO; marginal correlations; variable screening
topics (OpenAlex): Statistical Methods and Inference; Random Matrices and Applications; Bayesian Methods and Mixture Models
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Source: Web Of Science
Added: August 6, 2018

2013 article

Regularized Matrix Regression

Zhou, H., & Li, L. (2013, August 12). Journal of the Royal Statistical Society Series B (Statistical Methodology).

By: H. Zhou n & L. Li n

topics (OpenAlex): Sparse and Compressive Sensing Techniques; Numerical methods in inverse problems; Advanced Multi-Objective Optimization Algorithms; Ultrasound Imaging and Elastography
TL;DR: A class of regularized matrix regression methods based on spectral regularization is proposed, and a degrees‐of‐freedom formula is derived to facilitate model selection along the regularization path. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2013 article

Tensor Regression with Applications in Neuroimaging Data Analysis

Zhou, H., Li, L., & Zhu, H. (2013, March 25). Journal of the American Statistical Association.

By: H. Zhou n, L. Li n & H. Zhu *

author keywords: Brain imaging; Dimension reduction; Generalized linear model; Magnetic Resonance Imaging; Multidimensional array; Tensor regression
topics (OpenAlex): Tensor decomposition and applications; Advanced Neuroimaging Techniques and Applications; Mathematical Approximation and Integration
TL;DR: A new family of Tensor regression models that efficiently exploit the special structure of tensor covariates are proposed and ultrahigh dimensionality is reduced to a manageable level, resulting in efficient estimation and prediction. (via Semantic Scholar)
Source: Web Of Science
Added: August 6, 2018

2012 article

Nonlinear dimension reduction with Wright–Fisher kernel for genotype aggregation and association mapping

Zhu, H., Li, L., & Zhou, H. (2012, September 3). Bioinformatics.

By: H. Zhu *, L. Li n & H. Zhou n

MeSH headings : Algorithms; Genetic Association Studies; Genotype; High-Throughput Nucleotide Sequencing; Humans; Markov Chains; Polymorphism, Single Nucleotide
topics (OpenAlex): Genetic Associations and Epidemiology; Gene expression and cancer classification; Genetic and phenotypic traits in livestock
TL;DR: This work proposes a joint association test strategy based on a nonlinear supervised dimension reduction approach for effective SNP information aggregation and a novel kernel specially designed for qualitative genotype data that demonstrates superior performance in identifying causal genes over existing methods across a large variety of disease models simulated from sequence data of real genes. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2011 journal article

Asymptotic properties of sufficient dimension reduction with a diverging number of predictors

Statistica Sinica, 21(2), 707–730.

By: Y. Wu & L. Li

Source: NC State University Libraries
Added: August 6, 2018

2011 article

Biological pathway selection through nonlinear dimension reduction

Zhu, H., & Li, L. (2011, January 20). Biostatistics.

By: H. Zhu n & L. Li n

author keywords: Dimension reduction; Generalized additive model; Kernel methods; Pathway selection; Sliced inverse regression
MeSH headings : Computational Biology / methods; Computer Simulation; Data Interpretation, Statistical; Gene Expression Profiling / methods; Glioblastoma / genetics; Humans; Models, Genetic; Models, Statistical; Oligonucleotide Array Sequence Analysis / methods; Principal Component Analysis
topics (OpenAlex): Bioinformatics and Genomic Networks; Gene expression and cancer classification; Computational Drug Discovery Methods
TL;DR: This article proposes a 2-step procedure for identifying pathways that are related to and influence the clinical phenotype, and proposes a nonlinear dimension reduction method, which permits flexible within-pathway gene interactions as well as nonlinear pathway effects on the response. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2011 journal article

Inference on the primary parameter of interest with the aid of dimension reduction estimation

Journal of the Royal Statistical Society. Series B, Statistical Methodology, 73, 59–80.

By: L. Li, L. Zhu & L. Zhu

Source: NC State University Libraries
Added: August 6, 2018

2011 article

Model-Free Feature Screening for Ultrahigh-Dimensional Data

Zhu, L.-P., Li, L., Li, R., & Zhu, L.-X. (2011, December 1). Journal of the American Statistical Association.

By: L. Zhu *, L. Li n, R. Li & L. Zhu*

author keywords: Feature ranking; Ultrahigh-dimensional regression; Variable selection
topics (OpenAlex): Statistical Methods and Inference; Gene expression and cancer classification; Bayesian Methods and Mixture Models
TL;DR: It is demonstrated that, with the number of predictors growing at an exponential rate of the sample size, the proposed procedure possesses consistency in ranking, which is both useful in its own right and can lead to consistency in selection. (via Semantic Scholar)
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Added: August 6, 2018

2011 article

Multiple Loci Mapping via Model‐free Variable Selection

Sun, W., & Li, L. (2011, August 12). Biometrics.

By: W. Sun * & L. Li n

author keywords: Adaptive Lasso; Epistatic interaction; Grouped Lasso; Iterative adaptive Lasso; Model-free variable selection; Multiple loci mapping; Multivariate group-wise adaptive penalization; Sliced inverse regression
MeSH headings : Algorithms; Chromosome Mapping / methods; Genetic Loci / genetics; Genetic Markers / genetics; Multivariate Analysis
topics (OpenAlex): Genetic Mapping and Diversity in Plants and Animals; Genetic and phenotypic traits in livestock; Genetic Associations and Epidemiology
TL;DR: A multivariate group‐wise adaptive penalization solution is proposed and advocated, which requires no model prespecification and thus works for complex trait‐marker association, and handles one variable at a time so that works for small‐n‐large‐p regressions in the context of genome‐wide multiple loci mapping. (via Semantic Scholar)
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16. Peace, Justice and Strong Institutions (OpenAlex)
Source: Web Of Science
Added: August 6, 2018

2010 article

Evaluation of distribution fault diagnosis algorithms using ROC curves

Cai, N. Y., Chow, N. M.-Y., Lu, N. W., & Li, N. L. (2010, July 1). Ieee Power and Energy Soceity General Meeting 2010.

By: N. Cai n, N. Chow n, N. Lu n  & N. Li n

topics (OpenAlex): Anomaly Detection Techniques and Applications; Imbalanced Data Classification Techniques; Electricity Theft Detection Techniques
TL;DR: Experimental results show that AIRS performs best most of the time and ANN is potentially a good algorithm with a proper decision threshold, and the application of Receiver Operating Characteristic (ROC) curves in evaluating distribution fault diagnosis performance. (via Semantic Scholar)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2010 article

Groupwise Dimension Reduction

Li, L., Li, B., & Zhu, L.-X. (2010, September 1). Journal of the American Statistical Association.

By: L. Li n, B. Li  n & L. Zhu  n

author keywords: Central mean subspace; Direct sum of differential operators; Minimum average variance estimation; Outer product estimator; Partial dimension reduction
topics (OpenAlex): Statistical Methods and Inference; Genetic and phenotypic traits in livestock; Statistical Methods and Bayesian Inference
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Source: Web Of Science
Added: August 6, 2018

2010 article

Sufficient Dimension Reduction for Censored Regressions

Lu, W., & Li, L. (2010, September 28). Biometrics, Vol. 67, pp. 513–523.

By: W. Lu n  & L. Li n

author keywords: Censored data; Central subspace; Inverse censoring probability weighted estimation; Sliced inverse regression; Sufficient dimension reduction
MeSH headings : Biometry / methods; Probability; Regression Analysis
topics (OpenAlex): Statistical Methods and Inference; Genetic and phenotypic traits in livestock
TL;DR: A new class of inverse censoring probability weighted SDR estimators for censored regressions is proposed and regularization is introduced to achieve simultaneous variable selection and dimension reduction. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2010 article

Sufficient Dimension Reduction via Bayesian Mixture Modeling

Reich, B. J., Bondell, H. D., & Li, L. (2010, October 29). Biometrics, Vol. 67, pp. 886–895.

By: B. Reich n , H. Bondell n & L. Li n

Contributors: B. Reich n , H. Bondell n & L. Li n

author keywords: Central subspace; Directional regression; Probit link function; Sliced inverse regression; Sufficient dimension reduction
MeSH headings : Bayes Theorem; Data Interpretation, Statistical; HIV; Humans; Models, Statistical
topics (OpenAlex): Bayesian Methods and Mixture Models; Statistical Methods and Inference; Statistical Methods and Bayesian Inference
TL;DR: A Bayesian solution for sufficient dimension reduction is proposed that directly model the response density in terms of the sufficient predictors using a finite mixture model and offers a unified framework to handle categorical predictor, missing predictors, and Bayesian variable selection. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018

2009 article

Dimension Reduction in Regressions With Exponential Family Predictors

Cook, R. D., & Li, L. (2009, January 1). Journal of Computational and Graphical Statistics.

By: R. Cook  n & L. Li n

author keywords: Central subspace; Grassmann manifolds; Inverse regression; Sufficient dimension reduction
topics (OpenAlex): Statistical Methods and Inference; Genetic and phenotypic traits in livestock; Bayesian Methods and Mixture Models
TL;DR: This work presents first methodology for dimension reduction in regressions with predictors that, given the response, follow one-parameter exponential families, and proposes a method of estimating the forward regression mean function without requiring an explicit forward regression model. (via Semantic Scholar)
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Added: August 6, 2018

2009 article

Exploiting predictor domain information in sufficient dimension reduction

Li, L. (2009, January 22). Computational Statistics & Data Analysis.

By: L. Li n

topics (OpenAlex): Domain Adaptation and Few-Shot Learning; Model Reduction and Neural Networks; Gene expression and cancer classification
TL;DR: Enough dimension reduction strategies are investigated that can retain full regression information meanwhile utilizing prior domain knowledge to demonstrate that the new methods are effective and often superior than the existing solutions. (via Semantic Scholar)
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Added: August 6, 2018

2009 article

Longitudinal data analysis using sufficient dimension reduction method

Li, L., & Yin, X. (2009, May 14). Computational Statistics & Data Analysis.

By: L. Li n & X. Yin *

topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Statistical Methods and Bayesian Inference
TL;DR: This article investigates how dimension reduction method can be employed for analyzing high-dimensional longitudinal data and finds the method is flexible enough to encompass a variety of commonly used longitudinal models. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2009 journal article

Model free multivariate reduced-rank regression with categorical predictors

Statistica Sinica, 19(3), 1119–1136.

By: C. Setodji & L. Li

Source: NC State University Libraries
Added: August 6, 2018

2008 personal communication

A note on sliced inverse regression with regularizations - Reply

By: L. Li & X. Yin

Source: NC State University Libraries
Added: August 6, 2018

2008 journal article

Augmenting the bootstrap to analyze high dimensional genomic data - Discussion

TEST, 17(1), 22–24.

By: L. Li

Source: NC State University Libraries
Added: August 6, 2018

2008 article

Boosting method for nonlinear transformation models with censored survival data

Lu, W., & Li, L. (2008, March 15). Biostatistics, Vol. 9, pp. 658–667.

By: W. Lu n  & L. Li n

author keywords: boosting; censored survival data; importance sampling; marginal likelihood; nonlinear transformation models; smoothing spline
MeSH headings : Algorithms; Artificial Intelligence; Computer Simulation; Gene Expression Profiling / statistics & numerical data; Humans; Kaplan-Meier Estimate; Likelihood Functions; Lymphoma, Large B-Cell, Diffuse / genetics; Nonlinear Dynamics; Oligonucleotide Array Sequence Analysis / statistics & numerical data; Proportional Hazards Models; Statistics, Nonparametric; Survival Analysis
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Bayesian Methods and Mixture Models
TL;DR: A cubic smoothing spline-based component-wise boosting algorithm is derived to estimate covariate effects nonparametrically using the gradient of the marginal likelihood, that is computed using importance sampling, to apply to survival data with high-dimensional covariates. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2008 article

Constrained regression model selection

Li, L., & Tsai, C.-L. (2008, March 21). Journal of Statistical Planning and Inference.

By: L. Li n & C. Tsai*

author keywords: model selection; parameter constraint; single-index model
topics (OpenAlex): Advanced Statistical Methods and Models; Statistical Methods and Inference; Fuzzy Systems and Optimization
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Source: Web Of Science
Added: August 6, 2018

2008 article

Lifespan changes in working memory in fragile X premutation males

Cornish, K. M., Kogan, C. S., Li, L., Turk, J., Jacquemont, S., & Hagerman, R. J. (2008, December 28). Brain and Cognition.

By: K. Cornish *, C. Kogan*, L. Li n, J. Turk*, S. Jacquemont * & R. Hagerman *

author keywords: Fragile X syndrome; Fragile X tremor and ataxia syndrome; Premutation status; Working memory; Central executive; Phonological loop; Visual-spatial sketchpad; Development; Aging
MeSH headings : Adolescent; Adult; Aged; Aging; Fragile X Mental Retardation Protein / genetics; Fragile X Syndrome / genetics; Heterozygote; Humans; Intelligence Tests; Linear Models; Male; Memory, Short-Term / physiology; Middle Aged; Neuropsychological Tests; Principal Component Analysis; Surveys and Questionnaires; Trinucleotide Repeat Expansion; Young Adult
topics (OpenAlex): Genetics and Neurodevelopmental Disorders; Autism Spectrum Disorder Research; Genomic variations and chromosomal abnormalities
TL;DR: The findings indicate a specific vulnerability in premutation males on tasks that require simultaneous manipulation and storage of new information, so-called executive control of memory, which appears to exist regardless of the presence of FXTAS symptoms. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2008 article

Shrinkage Inverse Regression Estimation for Model-Free Variable Selection

Bondell, H. D., & Li, L. (2008, October 22). Journal of the Royal Statistical Society Series B (Statistical Methodology).

By: H. Bondell n & L. Li n

author keywords: Inverse regression estimation; Non-negative garrotte; Sliced inverse regression; Sufficient dimension reduction; Variable selection
topics (OpenAlex): Statistical Methods and Inference; Control Systems and Identification; Gaussian Processes and Bayesian Inference
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Source: Web Of Science
Added: August 6, 2018

2008 article

Sufficient Dimension Reduction With Missing Predictors

Li, L., & Lu, W. (2008, June 1). Journal of the American Statistical Association, Vol. 103, pp. 822–831.

By: L. Li* & W. Lu* 

author keywords: double robustness; missing at random; missing covariates; sliced inverse regression; sufficient dimension reduction
topics (OpenAlex): Statistical Methods and Inference; Statistical Methods and Bayesian Inference; Genetic and phenotypic traits in livestock
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Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

2007 article

Age-dependent cognitive changes in carriers of the fragile X syndrome

Cornish, K. M., Li, L., Kogan, C. S., Jacquemont, S., Turk, J., Dalton, A., … Hagerman, P. J. (2007, December 28). Cortex.

By: K. Cornish *, L. Li n, C. Kogan*, S. Jacquemont *, J. Turk*, A. Dalton*, R. Hagerman *, P. Hagerman *

author keywords: fragile X syndrome; fragile X permutation; fragile X-associated tremor/ataxia syndrome (FXTAS); cognition; attention
MeSH headings : Adult; Aged; Aging / genetics; Attention / physiology; Case-Control Studies; Cognition / physiology; DNA Mutational Analysis; Disease Progression; Fragile X Mental Retardation Protein / genetics; Fragile X Syndrome / complications; Fragile X Syndrome / genetics; Fragile X Syndrome / physiopathology; Fragile X Syndrome / psychology; Gene Dosage; Heterozygote; Humans; Inhibition, Psychological; Intelligence / genetics; Male; Matched-Pair Analysis; Middle Aged; Mutation; Neuropsychological Tests; Principal Component Analysis; Sex Characteristics; Tremor / complications; Tremor / diagnosis; Trinucleotide Repeats
topics (OpenAlex): Genetics and Neurodevelopmental Disorders; Autism Spectrum Disorder Research; Congenital heart defects research
TL;DR: An inhibitory deficit and its impact across the lifespan are specifically associated with the fragile X premutation status, and may be a precursor for development of a more severe form of cognitive impairment or dementia, which has been reported in patients with the diagnosis of FXTAS. (via Semantic Scholar)
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5. Gender Equality (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2007 article

CGG repeat length correlates with age of onset of motor signs of the fragile X‐associated tremor/ataxia syndrome (FXTAS)

Tassone, F., Adams, J., Berry‐Kravis, E. M., Cohen, S. S., Brusco, A., Leehey, M. A., … Hagerman, P. J. (2007, April 10). American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

By: F. Tassone *, J. Adams *, E. Berry‐Kravis *, S. Cohen*, A. Brusco *, M. Leehey *, L. Li n, R. Hagerman *, P. Hagerman *

author keywords: neurodegeneration; dementia; parkinson; ataxia; RNA toxicity
MeSH headings : Adult; Age of Onset; Aged; Ataxia / epidemiology; Ataxia / genetics; Female; Fragile X Syndrome / epidemiology; Fragile X Syndrome / genetics; Humans; Male; Middle Aged; Tremor / epidemiology; Tremor / genetics; Trinucleotide Repeat Expansion / genetics; United States / epidemiology
topics (OpenAlex): Genetics and Neurodevelopmental Disorders; Genetic Neurodegenerative Diseases; Mitochondrial Function and Pathology
TL;DR: Findings indicate that the CGG repeat number is a potential predictor of the age of onset of core motor features of FXTAS, a late‐onset neurological disorder among carriers of premutation CGG‐repeat expansions within the FMR1 gene. (via Semantic Scholar)
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3. Good Health and Well-being (OpenAlex)
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2007 article

Comment: Fisher Lecture: Dimension Reduction in Regression

Li, L., & Nachtsheim, C. J. (2007, February 1). Statistical Science.

By: L. Li* & C. Nachtsheim

topics (OpenAlex): Face and Expression Recognition; Statistical Methods and Inference; Advanced Statistical Methods and Models
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Source: Web Of Science
Added: August 6, 2018

2007 article

Partial inverse regression

Li, L., Cook, R. D., & Tsai, C.-L. (2007, August 5). Biometrika.

By: L. Li n, R. Cook & C. Tsai

author keywords: partial least squares; single-index model; sliced inverse regression
topics (OpenAlex): Statistical Methods and Inference; Gaussian Processes and Bayesian Inference; Optimal Experimental Design Methods
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Source: Web Of Science
Added: August 6, 2018

2007 article

Sliced Inverse Regression with Regularizations

Li, L., & Yin, X. (2007, July 26). Biometrics.

By: L. Li n & X. Yin

author keywords: regularized least squares; sliced inverse regression; sufficient dimension reduction
MeSH headings : Algorithms; Biometry / methods; Computer Simulation; Data Interpretation, Statistical; Epidemiologic Methods; Least-Squares Analysis; Models, Biological; Models, Statistical; Regression Analysis
topics (OpenAlex): Gene expression and cancer classification; Statistical Methods and Inference; Sparse and Compressive Sensing Techniques
TL;DR: A regularized SIR approach based on the least‐squares formulation of SIR is proposed, and an alternating least-squares algorithm is developed, to enable SIR to work with n < p and highly correlated predictors. (via Semantic Scholar)
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Source: Web Of Science
Added: August 6, 2018

2007 article

Sparse sufficient dimension reduction

Li, L. (2007, August 5). Biometrika.

By: L. Li n

author keywords: lasso; shrinkage sparse estimator; sufficient dimension reduction
topics (OpenAlex): Statistical Methods and Inference; Soil Geostatistics and Mapping; Advanced Statistical Methods and Models
TL;DR: A unified estimation strategy is proposed, which combines a regression-type formulation of sufficient dimension reduction methods and shrinkage estimation, to produce sparse and accurate solutions. (via Semantic Scholar)
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Added: August 6, 2018

2007 article

Tobit model estimation and sliced inverse regression

Li, L., Simonoff, J. S., & Tsai, C.-L. (2007, July 1). Statistical Modelling.

By: L. Li n, J. Simonoff * & C. Tsai*

author keywords: dimension reduction; heteroscedasticity; nonnormality; single-index model
topics (OpenAlex): Statistical Methods and Inference; Advanced Statistical Methods and Models; Bayesian Methods and Mixture Models; Statistical Methods and Bayesian Inference
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Source: Web Of Science
Added: August 6, 2018

2006 article

Neuropathic features in fragile X premutation carriers

Berry‐Kravis, E., Goetz, C. G., Leehey, M. A., Hagerman, R. J., Zhang, L., Li, L., … Hagerman, P. J. (2006, December 6). American Journal of Medical Genetics Part A.

By: E. Berry‐Kravis *, C. Goetz *, M. Leehey *, R. Hagerman *, L. Zhang *, L. Li n, D. Nguyen *, D. Hall * ...

author keywords: fragile X syndrome; FXTAS; neuropathy; ataxia; FMR1; FMRP
MeSH headings : Female; Fragile X Mental Retardation Protein / genetics; Fragile X Syndrome / diagnosis; Fragile X Syndrome / genetics; Heterozygote; Humans; Male; Mass Screening; Peripheral Nervous System Diseases / diagnosis; Peripheral Nervous System Diseases / genetics; Phenotype; Trinucleotide Repeat Expansion
topics (OpenAlex): Genetics and Neurodevelopmental Disorders; Endoplasmic Reticulum Stress and Disease; Ubiquitin and proteasome pathways
TL;DR: The data suggest that neuropathic signs are associated with the fragile X premutation, presumably occurring through the same mechanism proposed for CNS disease, namely, toxicity from expanded‐CGG‐repeat FMR1 mRNA. (via Semantic Scholar)
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3. Good Health and Well-being (OpenAlex)
5. Gender Equality (Web of Science)
Source: Web Of Science
Added: August 6, 2018

2006 article

Sparse Sliced Inverse Regression

Li, L., & Nachtsheim, C. J. (2006, November 1). Technometrics.

By: L. Li n & C. Nachtsheim

author keywords: lasso; regression shrinkage; sliced inverse regression; sufficient dimension reduction
topics (OpenAlex): Sparse and Compressive Sensing Techniques; Statistical Methods and Inference; Gaussian Processes and Bayesian Inference
TL;DR: This article proposes a new method, called sparse SIR, that combines the shrinkage idea of the lasso with SIR to produce both accurate and sparse solutions. (via Semantic Scholar)
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Added: August 6, 2018

2005 article

Survival prediction of diffuse large-B-cell lymphoma based on both clinical and gene expression information

Li, L. (2005, December 8). Bioinformatics.

By: L. Li n

MeSH headings : Biomarkers, Tumor / analysis; Gene Expression Profiling / methods; Humans; Lymphoma, B-Cell / diagnosis; Lymphoma, B-Cell / metabolism; Lymphoma, B-Cell / mortality; Neoplasm Proteins / analysis; Proportional Hazards Models; Reproducibility of Results; Retrospective Studies; Sensitivity and Specificity; Survival Analysis; Survival Rate
topics (OpenAlex): Lymphoma Diagnosis and Treatment; Gene expression and cancer classification; Molecular Biology Techniques and Applications
TL;DR: An integrated clinicogenomic modeling approach is described that combines gene expression profiles and the clinically based International Prognostic Index (IPI) for personalized prediction in disease outcome, delivering predictions more accurate than those achieved by using either clinical data or molecular predictors alone. (via Semantic Scholar)
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Added: August 6, 2018

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