| Year |
Citation |
Score |
| 2021 |
Song Y, Zhou X, Kang J, Aung MT, Zhang M, Zhao W, Needham BL, Kardia SLR, Liu Y, Meeker JD, Smith JA, Mukherjee B. Bayesian Sparse Mediation Analysis with Targeted Penalization of Natural Indirect Effects. Journal of the Royal Statistical Society. Series C, Applied Statistics. 70: 1391-1412. PMID 34887595 DOI: 10.1111/rssc.12518 |
0.386 |
|
| 2021 |
Song Y, Zhou X, Kang J, Aung MT, Zhang M, Zhao W, Needham BL, Kardia SLR, Liu Y, Meeker JD, Smith JA, Mukherjee B. Bayesian hierarchical models for high-dimensional mediation analysis with coordinated selection of correlated mediators. Statistics in Medicine. PMID 34404112 DOI: 10.1002/sim.9168 |
0.365 |
|
| 2020 |
Lee AW, Rosenzweig S, Wiensch A, Ramus SJ, Menon U, Gentry-Maharaj A, Ziogas A, Anton-Culver H, Whittemore AS, Sieh W, Rothstein JH, McGuire V, Wentzensen N, Bandera EV, ... ... Mukherjee B, et al. Expanding our understanding of ovarian cancer risk: the role of incomplete pregnancies. Journal of the National Cancer Institute. PMID 32766851 DOI: 10.1093/Jnci/Djaa099 |
0.302 |
|
| 2020 |
Bi W, Fritsche LG, Mukherjee B, Kim S, Lee S. A Fast and Accurate Method for Genome-Wide Time-to-Event Data Analysis and Its Application to UK Biobank. American Journal of Human Genetics. PMID 32589924 DOI: 10.1016/J.Ajhg.2020.06.003 |
0.304 |
|
| 2020 |
Beesley LJ, Fritsche LG, Mukherjee B. An analytic framework for exploring sampling and observation process biases in genome and phenome-wide association studies using electronic health records. Statistics in Medicine. PMID 32198773 DOI: 10.1002/Sim.8524 |
0.307 |
|
| 2020 |
Zhang M, Yu Y, Wang S, Salvatore M, G Fritsche L, He Z, Mukherjee B. Interaction analysis under misspecification of main effects: Some common mistakes and simple solutions. Statistics in Medicine. PMID 32101638 DOI: 10.1002/Sim.8505 |
0.31 |
|
| 2019 |
Gu T, Taylor JMG, Cheng W, Mukherjee B. Synthetic data method to incorporate external information into a current study. The Canadian Journal of Statistics = Revue Canadienne De Statistique. 47: 580-603. PMID 32773922 DOI: 10.1002/Cjs.11513 |
0.303 |
|
| 2019 |
Aung MT, Meeker JD, Boss J, Bakulski KM, Mukherjee B, Cantonwine DE, McElrath TF, Ferguson KK. Title: Manganese is associated with increased plasma interleukin-1β during pregnancy, within a mixtures analysis framework of urinary trace metals. Reproductive Toxicology (Elmsford, N.Y.). PMID 31881266 DOI: 10.1016/J.Reprotox.2019.12.004 |
0.301 |
|
| 2019 |
Aker A, McConnell RER, Loch-Caruso R, Park SK, Mukherjee B, Rosario ZY, Vélez-Vega CM, Huerta-Montanez G, Alshawabkeh AN, Cordero JF, Meeker JD. Interactions between chemicals and non-chemical stressors: The modifying effect of life events on the association between triclocarban, phenols and parabens with gestational length in a Puerto Rican cohort. The Science of the Total Environment. 134719. PMID 31785910 DOI: 10.1016/J.Scitotenv.2019.134719 |
0.324 |
|
| 2019 |
Bi W, Zhao Z, Dey R, Fritsche LG, Mukherjee B, Lee S. A Fast and Accurate Method for Genome-Wide Scale Phenome-Wide G × E Analysis and Its Application to UK Biobank. American Journal of Human Genetics. PMID 31735295 DOI: 10.1016/J.Ajhg.2019.10.008 |
0.306 |
|
| 2019 |
Song Y, Zhou X, Zhang M, Zhao W, Liu Y, Kardia SLR, Roux AVD, Needham BL, Smith JA, Mukherjee B. Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies. Biometrics. PMID 31733066 DOI: 10.1111/Biom.13189 |
0.314 |
|
| 2019 |
Laskaris Z, Milando C, Batterman S, Mukherjee B, Basu N, O'neill MS, Robins TG, Fobil JN. Derivation of Time-Activity Data Using Wearable Cameras and Measures of Personal Inhalation Exposure among Workers at an Informal Electronic-Waste Recovery Site in Ghana. Annals of Work Exposures and Health. PMID 31334545 DOI: 10.1093/Annweh/Wxz056 |
0.301 |
|
| 2019 |
Boss J, Mukherjee B, Ferguson KK, Aker A, Alshawabkeh AN, Cordero JF, Meeker JD, Kim S. Estimating outcome-exposure associations when exposure biomarker detection limits vary across batches. Epidemiology (Cambridge, Mass.). PMID 31299670 DOI: 10.1097/Ede.0000000000001052 |
0.371 |
|
| 2019 |
Fritsche LG, Beesley LJ, VandeHaar P, Peng RB, Salvatore M, Zawistowski M, Gagliano Taliun SA, Das S, LeFaive J, Kaleba EO, Klumpner TT, Moser SE, Blanc VM, Brummett CM, Kheterpal S, ... ... Mukherjee B, et al. Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb. Plos Genetics. 15: e1008202. PMID 31194742 DOI: 10.1371/Journal.Pgen.1008202 |
0.325 |
|
| 2019 |
Yu Y, Xia L, Lee S, Zhou X, Stringham HM, Boehnke M, Mukherjee B. Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes. Human Heredity. 1-32. PMID 31132756 DOI: 10.1159/000496867 |
0.306 |
|
| 2019 |
Chen YH, Mukherjee B, Berrocal VJ. Distributed Lag Interaction Models with Two Pollutants. Journal of the Royal Statistical Society. Series C, Applied Statistics. 68: 79-97. PMID 30636815 DOI: 10.1111/Rssc.12297 |
0.314 |
|
| 2018 |
Estes JP, Mukherjee B, Taylor JMG. Empirical Bayes Estimation and Prediction Using Summary-Level Information From External Big Data Sources Adjusting for Violations of Transportability. Statistics in Biosciences. 10: 568-586. PMID 31123532 DOI: 10.1007/S12561-018-9217-4 |
0.311 |
|
| 2018 |
Narisetty NN, Mukherjee B, Chen YH, Gonzalez R, Meeker JD. Selection of nonlinear interactions by a forward stepwise algorithm: Application to identifying environmental chemical mixtures affecting health outcomes. Statistics in Medicine. PMID 30586682 DOI: 10.1002/Sim.8059 |
0.347 |
|
| 2018 |
Kim S, Wang M, Tyrer JP, Jensen A, Wiensch A, Liu G, Lee AW, Ness RB, Salvatore M, Tworoger SS, Whittemore AS, Anton-Culver H, Sieh W, Olson SH, Berchuck A, ... ... Mukherjee B, et al. A Comprehensive Gene-Environment Interaction Analysis in Ovarian Cancer using Genome-wide Significant Common Variants. International Journal of Cancer. PMID 30499236 DOI: 10.1002/Ijc.32029 |
0.323 |
|
| 2018 |
Aker AM, Ferguson KK, Rosario ZY, Mukherjee B, Alshawabkeh AN, Cordero JF, Meeker JD. The associations between prenatal exposure to triclocarban, phenols and parabens with gestational age and birth weight in northern Puerto Rico. Environmental Research. 169: 41-51. PMID 30412856 DOI: 10.1016/J.Envres.2018.10.030 |
0.328 |
|
| 2018 |
Boss J, Zhai J, Aung MT, Ferguson KK, Johns LE, McElrath TF, Meeker JD, Mukherjee B. Associations between mixtures of urinary phthalate metabolites with gestational age at delivery: a time to event analysis using summative phthalate risk scores. Environmental Health : a Global Access Science Source. 17: 56. PMID 29925380 DOI: 10.1186/S12940-018-0400-3 |
0.321 |
|
| 2018 |
Roberts B, Cheng W, Mukherjee B, Neitzel RL. Imputation of missing values in a large job exposure matrix using hierarchical information. Journal of Exposure Science & Environmental Epidemiology. PMID 29789667 DOI: 10.1038/S41370-018-0037-X |
0.318 |
|
| 2018 |
Fritsche LG, Gruber SB, Wu Z, Schmidt EM, Zawistowski M, Moser SE, Blanc VM, Brummett CM, Kheterpal S, Abecasis GR, Mukherjee B. Association of Polygenic Risk Scores for Multiple Cancers in a Phenome-wide Study: Results from The Michigan Genomics Initiative. American Journal of Human Genetics. PMID 29779563 DOI: 10.1016/J.Ajhg.2018.04.001 |
0.326 |
|
| 2018 |
Cheng W, Taylor JMG, Vokonas PS, Park SK, Mukherjee B. Improving estimation and prediction in linear regression incorporating external information from an established reduced model. Statistics in Medicine. PMID 29365342 DOI: 10.1002/Sim.7600 |
0.3 |
|
| 2017 |
He Z, Zhang M, Lee S, Smith JA, Kardia SLR, Diez Roux AV, Mukherjee B. Set-Based Tests for the Gene-Environment Interaction in Longitudinal Studies. Journal of the American Statistical Association. 112: 966-978. PMID 29780190 DOI: 10.1080/01621459.2016.1252266 |
0.333 |
|
| 2017 |
Ferguson KK, Meeker JD, Cantonwine DE, Mukherjee B, Pace GG, Weller D, McElrath TF. Environmental phenol associations with ultrasound and delivery measures of fetal growth. Environment International. 112: 243-250. PMID 29294443 DOI: 10.1016/J.Envint.2017.12.011 |
0.317 |
|
| 2017 |
He Z, Lee S, Zhang M, Smith JA, Guo X, Palmas W, Kardia SLR, Ionita-Laza I, Mukherjee B. Rare-variant association tests in longitudinal studies, with an application to the Multi-Ethnic Study of Atherosclerosis (MESA). Genetic Epidemiology. PMID 29076270 DOI: 10.1002/Gepi.22081 |
0.322 |
|
| 2017 |
Chen YH, Mukherjee B, Adar SD, Berrocal VJ, Coull BA. Robust distributed lag models using data adaptive shrinkage. Biostatistics (Oxford, England). PMID 29040386 DOI: 10.1093/Biostatistics/Kxx041 |
0.341 |
|
| 2017 |
McAllister K, Mechanic LE, Amos C, Aschard H, Blair IA, Chatterjee N, Conti D, Gauderman WJ, Hsu L, Hutter CM, Jankowska MM, Kerr J, Kraft P, Montgomery SB, Mukherjee B, et al. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. American Journal of Epidemiology. 186: 753-761. PMID 28978193 DOI: 10.1093/Aje/Kwx227 |
0.335 |
|
| 2017 |
Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, Witte JS, Amos C, Tai CG, Conti D, Torgerson DG, Lee S, Chatterjee N. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal of Epidemiology. 186: 762-770. PMID 28978192 DOI: 10.1093/Aje/Kwx228 |
0.325 |
|
| 2017 |
Cheng W, Roberts B, Mukherjee B, Neitzel RL. Meta-analysis of job-exposure matrix data from multiple sources. Journal of Exposure Science & Environmental Epidemiology. PMID 28975928 DOI: 10.1038/Jes.2017.19 |
0.331 |
|
| 2017 |
Park SK, Zhao Z, Mukherjee B. Construction of environmental risk score beyond standard linear models using machine learning methods: application to metal mixtures, oxidative stress and cardiovascular disease in NHANES. Environmental Health : a Global Access Science Source. 16: 102. PMID 28950902 DOI: 10.1186/S12940-017-0310-9 |
0.335 |
|
| 2017 |
Estes JP, Rice JD, Li S, Stringham HM, Boehnke M, Mukherjee B. Meta-analysis of gene-environment interaction exploiting gene-environment independence across multiple case-control studies. Statistics in Medicine. PMID 28744888 DOI: 10.1002/Sim.7398 |
0.32 |
|
| 2017 |
Patel CJ, Kerr J, Thomas DC, Mukherjee B, Ritz B, Chatterjee N, Jankowska MM, Madan J, Karagas MR, McAllister KA, Mechanic LE, Fallin MD, Ladd-Acosta C, Blair IA, Teiltelbaum SL, et al. Opportunities and Challenges for Environmental Exposure Assessment in Population-Based Studies. Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association For Cancer Research, Cosponsored by the American Society of Preventive Oncology. PMID 28710076 DOI: 10.1158/1055-9965.Epi-17-0459 |
0.317 |
|
| 2017 |
Liu G, Lee S, Lee AW, Wu AH, Bandera EV, Jensen A, Anne Rossing M, Moysich KB, Chang-Claude J, Doherty J, Gentry-Maharaj A, Kiemeney L, Gayther SA, Modugno F, Massuger L, ... ... Mukherjee B, et al. Robust Tests for Additive Gene-Environment Interaction in Case-Control Studies Using Gene-Environment Independence. American Journal of Epidemiology. PMID 28633381 DOI: 10.1093/Aje/Kwx243 |
0.337 |
|
| 2017 |
Sun Z, Mukherjee B, Estes JP, Vokonas PS, Park SK. Exposure enriched outcome dependent designs for longitudinal studies of gene-environment interaction. Statistics in Medicine. PMID 28497531 DOI: 10.1002/Sim.7332 |
0.344 |
|
| 2017 |
Mullins M, Mukherjee B, Wu AH, Pike M, Pharoah PD, Berchuck A, Pearce CL. Explaining Disparities in Ovarian Cancer Incidence Rates between Women of African and European Ancestry: The Role of Genetic Factors. Cancer Epidemiology, Biomarkers & Prevention. 26: 433-434. DOI: 10.1158/1055-9965.Epi-17-0030 |
0.308 |
|
| 2016 |
Ferguson KK, Cantonwine DE, McElrath TF, Mukherjee B, Meeker JD. Repeated measures analysis of associations between urinary bisphenol-A concentrations and biomarkers of inflammation and oxidative stress in pregnancy. Reproductive Toxicology (Elmsford, N.Y.). PMID 27751756 DOI: 10.1016/J.Reprotox.2016.10.002 |
0.31 |
|
| 2016 |
Ko YA, Mukherjee B, Smith JA, Kardia SL, Allison M, Diez Roux AV. Classification and clustering methods for multiple environmental factors in gene-environment interaction - application to the Multi-Ethnic Study of Atherosclerosis. Epidemiology (Cambridge, Mass.). PMID 27479650 DOI: 10.1097/Ede.0000000000000548 |
0.349 |
|
| 2016 |
Lee AW, Bomkamp A, Bandera EV, Jensen A, Ramus SJ, Goodman MT, Rossing MA, Modugno F, Moysich KB, Chang-Claude J, Rudolph A, Gentry-Maharaj A, Terry KL, Gayther SA, Cramer DW, ... ... Mukherjee B, et al. A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer. International Journal of Cancer. PMID 27420401 DOI: 10.1002/Ijc.30274 |
0.31 |
|
| 2016 |
Ferguson KK, Chen YH, VanderWeele TJ, McElrath TF, Meeker JD, Mukherjee B. Mediation of the Relationship between Maternal Phthalate Exposure and Preterm Birth by Oxidative Stress with Repeated Measurements across Pregnancy. Environmental Health Perspectives. PMID 27352406 DOI: 10.1289/Ehp282 |
0.305 |
|
| 2016 |
Ferguson KK, Meeker JD, Cantonwine DE, Chen YH, Mukherjee B, McElrath TF. Urinary phthalate metabolite and bisphenol A associations with ultrasound and delivery indices of fetal growth. Environment International. PMID 27320326 DOI: 10.1016/J.Envint.2016.06.013 |
0.324 |
|
| 2016 |
Boonstra PS, Mukherjee B, Gruber SB, Ahn J, Schmit SL, Chatterjee N. Tests for Gene-Environment Interactions and Joint Effects With Exposure Misclassification. American Journal of Epidemiology. PMID 26755675 DOI: 10.1093/Aje/Kwv198 |
0.329 |
|
| 2016 |
Cantonwine DE, Ferguson KK, Mukherjee B, Chen YH, Smith NA, Robinson JN, Doubilet PM, Meeker JD, McElrath TF. Utilizing Longitudinal Measures of Fetal Growth to Create a Standard Method to Assess the Impacts of Maternal Disease and Environmental Exposure. Plos One. 11: e0146532. PMID 26731406 DOI: 10.1371/Journal.Pone.0146532 |
0.334 |
|
| 2016 |
Lee AW, Bomkamp A, Bandera EV, Jensen A, Ramus SJ, Goodman MT, Rossing MA, Modugno F, Moysich KB, Chang-Claude J, Rudolph A, Gentry-Maharaj A, Terry KL, Gayther SA, Cramer DW, ... ... Mukherjee B, et al. Abstract 797: A splicing variant of TERT identified by GWAS interacts with menopausal estrogen therapy in risk of ovarian cancer Cancer Research. 76: 797-797. DOI: 10.1158/1538-7445.Am2016-797 |
0.323 |
|
| 2015 |
Ferguson KK, McElrath TF, Mukherjee B, Loch-Caruso R, Meeker JD. Associations between Maternal Biomarkers of Phthalate Exposure and Inflammation Using Repeated Measurements across Pregnancy. Plos One. 10: e0135601. PMID 26317519 DOI: 10.1371/Journal.Pone.0135601 |
0.33 |
|
| 2015 |
Ferguson KK, McElrath TF, Cantonwine DE, Mukherjee B, Meeker JD. Phthalate metabolites and bisphenol-A in association with circulating angiogenic biomarkers across pregnancy. Placenta. 36: 699-703. PMID 25913709 DOI: 10.1016/J.Placenta.2015.04.002 |
0.337 |
|
| 2015 |
He Z, Zhang M, Lee S, Smith JA, Guo X, Palmas W, Kardia SL, Roux AV, Mukherjee B. Set-based tests for genetic association in longitudinal studies. Biometrics. PMID 25854837 DOI: 10.1111/Biom.12310 |
0.325 |
|
| 2015 |
Chen YH, Ferguson KK, Meeker JD, McElrath TF, Mukherjee B. Statistical methods for modeling repeated measures of maternal environmental exposure biomarkers during pregnancy in association with preterm birth. Environmental Health : a Global Access Science Source. 14: 9. PMID 25619201 DOI: 10.1186/1476-069X-14-9 |
0.352 |
|
| 2015 |
Tao Y, Sánchez BN, Mukherjee B. Latent variable models for gene-environment interactions in longitudinal studies with multiple correlated exposures. Statistics in Medicine. 34: 1227-41. PMID 25545894 DOI: 10.1002/Sim.6401 |
0.373 |
|
| 2015 |
Stenzel SL, Ahn J, Boonstra PS, Gruber SB, Mukherjee B. The impact of exposure-biased sampling designs on detection of gene-environment interactions in case-control studies with potential exposure misclassification. European Journal of Epidemiology. 30: 413-23. PMID 24894824 DOI: 10.1007/S10654-014-9908-1 |
0.318 |
|
| 2014 |
Batterman S, Burke J, Isakov V, Lewis T, Mukherjee B, Robins T. A comparison of exposure metrics for traffic-related air pollutants: application to epidemiology studies in Detroit, Michigan. International Journal of Environmental Research and Public Health. 11: 9553-77. PMID 25226412 DOI: 10.3390/Ijerph110909553 |
0.32 |
|
| 2014 |
Ko YA, Mukherjee B, Smith JA, Park SK, Kardia SL, Allison MA, Vokonas PS, Chen J, Diez-Roux AV. Testing departure from additivity in Tukey's model using shrinkage: application to a longitudinal setting. Statistics in Medicine. 33: 5177-91. PMID 25112650 DOI: 10.1002/Sim.6281 |
0.308 |
|
| 2014 |
Ferguson KK, McElrath TF, Ko YA, Mukherjee B, Meeker JD. Variability in urinary phthalate metabolite levels across pregnancy and sensitive windows of exposure for the risk of preterm birth. Environment International. 70: 118-24. PMID 24934852 DOI: 10.1016/J.Envint.2014.05.016 |
0.319 |
|
| 2014 |
Park SK, Tao Y, Meeker JD, Harlow SD, Mukherjee B. Environmental risk score as a new tool to examine multi-pollutants in epidemiologic research: an example from the NHANES study using serum lipid levels. Plos One. 9: e98632. PMID 24901996 DOI: 10.1371/Journal.Pone.0098632 |
0.334 |
|
| 2014 |
Li S, Mukherjee B, Taylor JM, Rice KM, Wen X, Rice JD, Stringham HM, Boehnke M. The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits. Genetic Epidemiology. 38: 416-29. PMID 24801060 DOI: 10.1002/Gepi.21810 |
0.333 |
|
| 2014 |
Su FC, Mukherjee B, Batterman S. Modeling and analysis of personal exposures to VOC mixtures using copulas. Environment International. 63: 236-45. PMID 24333991 DOI: 10.1016/J.Envint.2013.11.004 |
0.342 |
|
| 2014 |
Cantonwine DE, Cordero JF, Rivera-González LO, Anzalota Del Toro LV, Ferguson KK, Mukherjee B, Calafat AM, Crespo N, Jiménez-Vélez B, Padilla IY, Alshawabkeh AN, Meeker JD. Urinary phthalate metabolite concentrations among pregnant women in Northern Puerto Rico: distribution, temporal variability, and predictors. Environment International. 62: 1-11. PMID 24161445 DOI: 10.1016/J.Envint.2013.09.014 |
0.321 |
|
| 2014 |
Boonstra PS, Bondarenko I, Park SK, Vokonas PS, Mukherjee B. Propensity score-based diagnostics for categorical response regression models. Statistics in Medicine. 33: 455-69. PMID 23934948 DOI: 10.1002/Sim.5940 |
0.318 |
|
| 2014 |
Moreno V, Peters U, Hsu L, Gong J, Lin Y, Mukherjee B, Casey G, Thomas D, Gruber SB, Gauderman J. Abstract 2194: Genome-wide gene-environment interactions study on colorectal cancer Cancer Research. 74: 2194-2194. DOI: 10.1158/1538-7445.Am2014-2194 |
0.351 |
|
| 2013 |
Ahn J, Mukherjee B, Gruber SB, Ghosh M. BAYESIAN SEMIPARAMETRIC ANALYSIS FOR TWO-PHASE STUDIES OF GENE-ENVIRONMENT INTERACTION. The Annals of Applied Statistics. 7: 543-569. PMID 24587840 DOI: 10.1214/12-Aoas599 |
0.339 |
|
| 2013 |
Boonstra PS, Mukherjee B, Taylor JM. BAYESIAN SHRINKAGE METHODS FOR PARTIALLY OBSERVED DATA WITH MANY PREDICTORS. The Annals of Applied Statistics. 7: 2272-2292. PMID 24436727 DOI: 10.1214/13-Aoas668 |
0.304 |
|
| 2013 |
Li S, Batterman S, Su FC, Mukherjee B. Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions. Atmospheric Environment (Oxford, England : 1994). 77. PMID 24348086 DOI: 10.1016/J.Atmosenv.2013.05.004 |
0.323 |
|
| 2013 |
Li S, Mukherjee B, Batterman S, Ghosh M. Bayesian analysis of time-series data under case-crossover designs: posterior equivalence and inference. Biometrics. 69: 925-36. PMID 24289144 DOI: 10.1111/Biom.12102 |
0.337 |
|
| 2013 |
Sun Z, Tao Y, Li S, Ferguson KK, Meeker JD, Park SK, Batterman SA, Mukherjee B. Statistical strategies for constructing health risk models with multiple pollutants and their interactions: possible choices and comparisons. Environmental Health : a Global Access Science Source. 12: 85. PMID 24093917 DOI: 10.1186/1476-069X-12-85 |
0.339 |
|
| 2013 |
Su FC, Mukherjee B, Batterman S. Determinants of personal, indoor and outdoor VOC concentrations: an analysis of the RIOPA data. Environmental Research. 126: 192-203. PMID 24034784 DOI: 10.1016/J.Envres.2013.08.005 |
0.321 |
|
| 2013 |
Ko YA, Saha-Chaudhuri P, Park SK, Vokonas PS, Mukherjee B. Novel likelihood ratio tests for screening gene-gene and gene-environment interactions with unbalanced repeated-measures data. Genetic Epidemiology. 37: 581-591. PMID 23798480 DOI: 10.1002/Gepi.21744 |
0.316 |
|
| 2013 |
Meeker JD, Cantonwine DE, Rivera-González LO, Ferguson KK, Mukherjee B, Calafat AM, Ye X, Anzalota Del Toro LV, Crespo-Hernández N, Jiménez-Vélez B, Alshawabkeh AN, Cordero JF. Distribution, variability, and predictors of urinary concentrations of phenols and parabens among pregnant women in Puerto Rico. Environmental Science & Technology. 47: 3439-47. PMID 23469879 DOI: 10.1021/Es400510G |
0.308 |
|
| 2013 |
Lewis TC, Robins TG, Mentz GB, Zhang X, Mukherjee B, Lin X, Keeler GJ, Dvonch JT, Yip FY, O'Neill MS, Parker EA, Israel BA, Max PT, Reyes A. Air pollution and respiratory symptoms among children with asthma: vulnerability by corticosteroid use and residence area. The Science of the Total Environment. 448: 48-55. PMID 23273373 DOI: 10.1016/J.Scitotenv.2012.11.070 |
0.3 |
|
| 2013 |
Sun Z, Mukherjee B, Brook RD, Gatts GA, Yang F, Sun Q, Brook JR, Fan Z, Rajagopalan S. Air-Pollution and Cardiometabolic Diseases (AIRCMD): a prospective study investigating the impact of air pollution exposure and propensity for type II diabetes. The Science of the Total Environment. 448: 72-8. PMID 23182147 DOI: 10.1016/J.Scitotenv.2012.10.087 |
0.324 |
|
| 2012 |
Li S, Mukherjee B, Batterman S. Point source modeling of matched case-control data with multiple disease subtypes. Statistics in Medicine. 31: 3617-3637. PMID 22826092 DOI: 10.1002/Sim.5388 |
0.321 |
|
| 2012 |
Ghosh M, Song J, Forster JJ, Mitra R, Mukherjee B. On the equivalence of posterior inference based on retrospective and prospective likelihoods: application to a case-control study of colorectal cancer. Statistics in Medicine. 31: 2196-208. PMID 22495822 DOI: 10.1002/Sim.5358 |
0.325 |
|
| 2012 |
Mukherjee B, Ko YA, Vanderweele T, Roy A, Park SK, Chen J. Principal interactions analysis for repeated measures data: application to gene-gene and gene-environment interactions. Statistics in Medicine. 31: 2531-51. PMID 22415818 DOI: 10.1002/Sim.5315 |
0.328 |
|
| 2012 |
Lyles RH, Tang L, Lin J, Zhang Z, Mukherjee B. Likelihood-based methods for regression analysis with binary exposure status assessed by pooling. Statistics in Medicine. 31: 2485-97. PMID 22415630 DOI: 10.1002/Sim.4426 |
0.374 |
|
| 2012 |
Bhadra D, Daniels MJ, Kim S, Ghosh M, Mukherjee B. A Bayesian semiparametric approach for incorporating longitudinal information on exposure history for inference in case-control studies. Biometrics. 68: 361-70. PMID 22313248 DOI: 10.1111/J.1541-0420.2011.01686.X |
0.366 |
|
| 2012 |
Mukherjee B, Ahn J, Gruber SB, Chatterjee N. Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons. American Journal of Epidemiology. 175: 177-90. PMID 22199027 DOI: 10.1093/Aje/Kwr367 |
0.316 |
|
| 2012 |
Sánchez BN, Kang S, Mukherjee B. A latent variable approach to study gene-environment interactions in the presence of multiple correlated exposures. Biometrics. 68: 466-76. PMID 21955029 DOI: 10.1111/J.1541-0420.2011.01677.X |
0.348 |
|
| 2012 |
Zhang Z, Liu A, Lyles RH, Mukherjee B. Logistic regression analysis of biomarker data subject to pooling and dichotomization Statistics in Medicine. 31: 2473-2484. PMID 21953741 DOI: 10.1002/Sim.4367 |
0.338 |
|
| 2011 |
Su FC, Mukherjee B, Batterman S. Trends of VOC exposures among a nationally representative sample: Analysis of the NHANES 1988 through 2004 data sets. Atmospheric Environment (Oxford, England : 1994). 45: 4858-4867. PMID 25705111 DOI: 10.1016/J.Atmosenv.2011.06.016 |
0.338 |
|
| 2011 |
Boonstra PS, Mukherjee B, Taylor JM, Nilbert M, Moreno V, Gruber SB. Bayesian modeling for genetic anticipation in presence of mutational heterogeneity: a case study in Lynch syndrome. Biometrics. 67: 1627-37. PMID 21627626 DOI: 10.1111/J.1541-0420.2011.01607.X |
0.326 |
|
| 2011 |
Mukherjee B, Rennert G, Ahn J, Dishon S, Lejbkowicz F, Rennert HS, Shiovitz S, Moreno V, Gruber SB. High risk of colorectal and endometrial cancer in Ashkenazi families with the MSH2 A636P founder mutation. Gastroenterology. 140: 1919-26. PMID 21419771 DOI: 10.1053/J.Gastro.2011.02.071 |
0.3 |
|
| 2011 |
Ahn J, Mukherjee B, Gruber SB, Sinha S. Missing exposure data in stereotype regression model: application to matched case-control study with disease subclassification. Biometrics. 67: 546-58. PMID 20560931 DOI: 10.1111/J.1541-0420.2010.01453.X |
0.33 |
|
| 2010 |
Mukherjee B, Ahn J, Gruber SB, Ghosh M, Chatterjee N. Case-control studies of gene-environment interaction: Bayesian design and analysis. Biometrics. 66: 934-48. PMID 19930190 DOI: 10.1111/J.1541-0420.2009.01357.X |
0.334 |
|
| 2009 |
Ahn J, Mukherjee B, Banerjee M, Cooney KA. Bayesian inference for the stereotype regression model: Application to a case-control study of prostate cancer. Statistics in Medicine. 28: 3139-57. PMID 19731262 DOI: 10.1002/Sim.3693 |
0.319 |
|
| 2009 |
Luo S, Mukherjee B, Chen J, Chatterjee N. Shrinkage estimation for robust and efficient screening of single-SNP association from case-control genome-wide association studies. Genetic Epidemiology. 33: 740-50. PMID 19434716 DOI: 10.1002/Gepi.20428 |
0.32 |
|
| 2009 |
Zhang L, Mukherjee B, Hu B, Moreno V, Cooney KA. Semiparametric Bayesian modeling of random genetic effects in family-based association studies. Statistics in Medicine. 28: 113-39. PMID 18792083 DOI: 10.1002/Sim.3413 |
0.303 |
|
| 2009 |
Mukherjee B, Liu I. A note on bias due to fitting prospective multivariate generalized linear models to categorical outcomes ignoring retrospective sampling schemes Journal of Multivariate Analysis. 100: 459-472. DOI: 10.1016/J.Jmva.2008.05.011 |
0.331 |
|
| 2008 |
Sinha S, Gruber SB, Mukherjee B, Rennert G. Inference of the haplotype effect in a matched case-control study using unphased genotype data International Journal of Biostatistics. 4. PMID 20231916 DOI: 10.2202/1557-4679.1079 |
0.323 |
|
| 2008 |
Mukherjee B, Ahn J, Liu I, Rathouz PJ, Sánchez BN. Fitting stratified proportional odds models by amalgamating conditional likelihoods. Statistics in Medicine. 27: 4950-71. PMID 18618428 DOI: 10.1002/Sim.3325 |
0.318 |
|
| 2008 |
Mukherjee B, Ahn J, Gruber SB, Rennert G, Moreno V, Chatterjee N. Tests for gene-environment interaction from case-control data: A novel study of type I error, power and designs Genetic Epidemiology. 32: 615-626. PMID 18473390 DOI: 10.1002/Gepi.20337 |
0.333 |
|
| 2008 |
Mukherjee B, Chatterjee N. Exploiting Gene-Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes-Type Shrinkage Estimator to Trade-Off between Bias and Efficiency Biometrics. 64: 685-694. PMID 18162111 DOI: 10.1111/J.1541-0420.2007.00953.X |
0.332 |
|
| 2008 |
Zhang L, Mukherjee B, Ghosh M, Gruber S, Moreno V. Accounting for error due to misclassification of exposures in case-control studies of gene-environment interaction. Statistics in Medicine. 27: 2756-83. PMID 17879261 DOI: 10.1002/Sim.3044 |
0.357 |
|
| 2007 |
Mukherjee B, Zhang L, Ghosh M, Sinha S. Semiparametric Bayesian analysis of case-control data under conditional gene-environment independence. Biometrics. 63: 834-44. PMID 17489972 DOI: 10.1111/J.1541-0420.2007.00750.X |
0.361 |
|
| 2007 |
Mukherjee B, Liu I, Sinha S. Analysis of matched case-control data with multiple ordered disease states: possible choices and comparisons. Statistics in Medicine. 26: 3240-57. PMID 17206600 DOI: 10.1002/Sim.2790 |
0.326 |
|
| 2006 |
Sinha S, Mukherjee B. A score test for determining sample size in matched case-control studies with categorical exposure. Biometrical Journal. 48: 35-53. PMID 16544811 DOI: 10.1002/Bimj.200510200 |
0.349 |
|
| 2006 |
Zhang L, Mukherjee B, Ghosh M, Wu R. Bayesian modeling for genetic association in case-control studies: accounting for unknown population substructure Statistical Modelling: An International Journal. 6: 352-372. DOI: 10.1177/1471082006071841 |
0.32 |
|
| 2005 |
Sinha S, Mukherjee B, Ghosh M, Mallick BK, Carroll RJ. Semiparametric Bayesian Analysis of Matched Case-Control Studies With Missing Exposure Journal of the American Statistical Association. 100: 591-601. DOI: 10.1198/016214504000001411 |
0.317 |
|
| 2004 |
Sinha S, Mukherjee B, Ghosh M. Bayesian semiparametric modeling for matched case-control studies with multiple disease states. Biometrics. 60: 41-9. PMID 15032772 DOI: 10.1111/J.0006-341X.2004.00169.X |
0.323 |
|
| Show low-probability matches. |