Bounded, efficient and doubly robust estimation with inverse weighting Z Tan Biometrika 97 (3), 661-682, 2010 | 337 | 2010 |
A distributional approach for causal inference using propensity scores Z Tan Journal of the American Statistical Association 101 (476), 1619-1637, 2006 | 313 | 2006 |
Regression and weighting methods for causal inference using instrumental variables Z Tan Journal of the American Statistical Association 101 (476), 1607-1618, 2006 | 184 | 2006 |
Theory of binless multi-state free energy estimation with applications to protein-ligand binding Z Tan, E Gallicchio, M Lapelosa, RM Levy The Journal of chemical physics 136 (14), 2012 | 170 | 2012 |
Comment: Understanding or, ps and dr Z Tan Statistical Science 22 (4), 560-568, 2007 | 126 | 2007 |
A theory of statistical models for Monte Carlo integration A Kong, P McCullagh, XL Meng, D Nicolae, Z Tan Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2003 | 125 | 2003 |
On a likelihood approach for Monte Carlo integration Z Tan Journal of the American Statistical Association 99 (468), 1027-1036, 2004 | 107 | 2004 |
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z Tan | 105 | 2020 |
Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data Z Tan Biometrika 107 (1), 137-158, 2020 | 102 | 2020 |
Instrumental variable estimation with a stochastic monotonicity assumption DS Small, Z Tan, RR Ramsahai, SA Lorch, MA Brookhart | 89* | 2017 |
Doubly robust instrumental variable regression R Okui, DS Small, Z Tan, JM Robins Statistica Sinica, 173-205, 2012 | 79 | 2012 |
Marginal and nested structural models using instrumental variables Z Tan Journal of the American Statistical Association 105 (489), 157-169, 2010 | 60 | 2010 |
Efficient nonparametric estimation of causal effects in randomized trials with noncompliance J Cheng, DS Small, Z Tan, TR Ten Have Biometrika 96 (1), 19-36, 2009 | 53 | 2009 |
Optimally adjusted mixture sampling and locally weighted histogram analysis Z Tan Journal of Computational and Graphical Statistics 26 (1), 54-65, 2017 | 52 | 2017 |
Correlation of intergenerational family sizes suggests a genetic component of reproductive fitness A Pluzhnikov, DK Nolan, Z Tan, MS McPeek, C Ober The American Journal of Human Genetics 81 (1), 165-169, 2007 | 52 | 2007 |
Comparative effectiveness of adjunctive psychotropic medications in patients with schizophrenia TS Stroup, T Gerhard, S Crystal, C Huang, Z Tan, MM Wall, C Mathai, ... JAMA psychiatry 76 (5), 508-515, 2019 | 51 | 2019 |
Simulating replica exchange: Markov state models, proposal schemes, and the infinite swapping limit BW Zhang, W Dai, E Gallicchio, P He, J Xia, Z Tan, RM Levy The Journal of Physical Chemistry B 120 (33), 8289-8301, 2016 | 49 | 2016 |
Deep sequencing of protease inhibitor resistant HIV patient isolates reveals patterns of correlated mutations in Gag and protease WF Flynn, MW Chang, Z Tan, G Oliveira, J Yuan, JF Okulicz, BE Torbett, ... PLoS computational biology 11 (4), e1004249, 2015 | 46 | 2015 |
Doubly penalized estimation in additive regression with high-dimensional data Z Tan, CH Zhang The Annals of Statistics 47 (5), 2567-2600, 2019 | 37* | 2019 |
A stochastic solution to the unbinned WHAM equations BW Zhang, J Xia, Z Tan, RM Levy The journal of physical chemistry letters 6 (19), 3834-3840, 2015 | 34 | 2015 |