Xihong Lin
Xihong Lin
Professor of Biostatistics and Professor of Statistics, Harvard University
Verified email at hsph.harvard.edu - Homepage
Cited by
Cited by
Quality of life and satisfaction with outcome among prostate-cancer survivors
MG Sanda, RL Dunn, J Michalski, HM Sandler, L Northouse, L Hembroff, ...
New England Journal of Medicine 358 (12), 1250-1261, 2008
Rare-variant association testing for sequencing data with the sequence kernel association test
MC Wu, S Lee, T Cai, Y Li, M Boehnke, X Lin
The American Journal of Human Genetics 89 (1), 82-93, 2011
LKB1 modulates lung cancer differentiation and metastasis
H Ji, MR Ramsey, DN Hayes, C Fan, K McNamara, P Kozlowski, C Torrice, ...
Nature 448 (7155), 807-810, 2007
Aberrant lipid metabolism disrupts calcium homeostasis causing liver endoplasmic reticulum stress in obesity
S Fu, L Yang, P Li, O Hofmann, L Dicker, W Hide, X Lin, SM Watkins, ...
Nature 473 (7348), 528-531, 2011
Rare-variant association analysis: study designs and statistical tests
S Lee, GR Abecasis, M Boehnke, X Lin
The American Journal of Human Genetics 95 (1), 5-23, 2014
Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies
S Lee, MJ Emond, MJ Bamshad, KC Barnes, MJ Rieder, DA Nickerson, ...
The American Journal of Human Genetics 91 (2), 224-237, 2012
Inference in generalized additive mixed modelsby using smoothing splines
X Lin, D Zhang
Journal of the royal statistical society: Series b (statistical methodology …, 1999
Powerful SNP-set analysis for case-control genome-wide association studies
MC Wu, P Kraft, MP Epstein, DM Taylor, SJ Chanock, DJ Hunter, X Lin
The American Journal of Human Genetics 86 (6), 929-942, 2010
Bias correction in generalised linear mixed models with a single component of dispersion
NE Breslow, X Lin
Biometrika 82 (1), 81-91, 1995
Optimal tests for rare variant effects in sequencing association studies
S Lee, MC Wu, X Lin
Biostatistics 13 (4), 762-775, 2012
Can nonrandomized experiments yield accurate answers? A randomized experiment comparing random and nonrandom assignments
WR Shadish, MH Clark, PM Steiner
Journal of the American statistical association 103 (484), 1334-1344, 2008
Association of public health interventions with the epidemiology of the COVID-19 outbreak in Wuhan, China
A Pan, L Liu, C Wang, H Guo, X Hao, Q Wang, J Huang, N He, H Yu, X Lin, ...
Jama 323 (19), 1915-1923, 2020
Diuretic therapy for hypertension and the risk of primary cardiac arrest
DS Siscovick, TE Raghunathan, BM Psaty, TD Koepsell, KG Wicklund, ...
New England Journal of Medicine 330 (26), 1852-1857, 1994
Bias correction in generalized linear mixed models with multiple components of dispersion
X Lin, NE Breslow
Journal of the American Statistical Association 91 (435), 1007-1016, 1996
Nonparametric function estimation for clustered data when the predictor is measured without/with error
X Lin, RJ Carroll
Journal of the American statistical Association 95 (450), 520-534, 2000
Semiparametric stochastic mixed models for longitudinal data
D Zhang, X Lin, J Raz, MF Sowers
Journal of the American Statistical Association 93 (442), 710-719, 1998
Variance component testing in generalised linear models with random effects
X Lin
Biometrika 84 (2), 309-326, 1997
Sequence kernel association tests for the combined effect of rare and common variants
I Ionita-Laza, S Lee, V Makarov, JD Buxbaum, X Lin
The American Journal of Human Genetics 92 (6), 841-853, 2013
Semiparametric regression for clustered data using generalized estimating equations
X Lin, RJ Carroll
Journal of the American Statistical Association 96 (455), 1045-1056, 2001
Semiparametric regression of multidimensional genetic pathway data: Least‐squares kernel machines and linear mixed models
D Liu, X Lin, D Ghosh
Biometrics 63 (4), 1079-1088, 2007
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