Xin Zhou, PhD
Assistant Professor of Biostatistics
Research & Publications
Biography
News
Locations
Coauthors
Selected Publications
- Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomesCai J, Zhang N, Zhou X, Spiegelman D, Wang M. Correcting for bias due to mismeasured exposure history in longitudinal studies with continuous outcomes. Biometrics 2023 PMID: 37222518, DOI: 10.1111/biom.13877.
- Implementation of a Hardware-Assisted Bluetooth-based COVID-19 Tracking Device in a High School: A Mixed Methods Study (Preprint)Li D, Shelby T, Brault M, Manohar R, Vermund S, Hagaman A, Forastiere L, Caruthers T, Egger E, Wang Y, Manohar N, Manohar P, Davis L, Zhou X. Implementation of a Hardware-Assisted Bluetooth-based COVID-19 Tracking Device in a High School: A Mixed Methods Study (Preprint). JMIR Formative Research 2022 DOI: 10.2196/39765.
- Implementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods StudyLi D, Shelby T, Brault M, Manohar R, Vermund S, Hagaman A, Forastiere L, Caruthers T, Egger E, Wang Y, Manohar N, Manohar P, Davis J, Zhou X. Implementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study. JMIR Formative Research 2022, 7: e39765. PMID: 36525333, PMCID: PMC10131711, DOI: 10.2196/39765.
- Evaluating the Quality of Tuberculosis (TB) Care in Low and Middle Income CountriesSaranjav A, Parisi C, Zhou X, Chuluun A, Spiegelman D, Davaasambuu G, Davis J. Evaluating the Quality of Tuberculosis (TB) Care in Low and Middle Income Countries. 2021, a3917-a3917. DOI: 10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a3917.
- A modified partial likelihood score method for Cox regression with covariate error under the internal validation designZucker DM, Zhou X, Liao X, Li Y, Spiegelman D. A modified partial likelihood score method for Cox regression with covariate error under the internal validation design. Biometrics 2019, 75: 414-427. PMID: 30525191, PMCID: PMC6555694, DOI: 10.1111/biom.13012.
- Health system measurement: Harnessing machine learning to advance global healthLeslie HH, Zhou X, Spiegelman D, Kruk ME. Health system measurement: Harnessing machine learning to advance global health. PLOS ONE 2018, 13: e0204958. PMID: 30289935, PMCID: PMC6173424, DOI: 10.1371/journal.pone.0204958.
- A maximum likelihood approach to power calculations for stepped wedge designs of binary outcomesZhou X, Liao X, Kunz LM, Normand ST, Wang M, Spiegelman D. A maximum likelihood approach to power calculations for stepped wedge designs of binary outcomes. Biostatistics 2018, 21: 102-121. PMID: 30084949, PMCID: PMC7410259, DOI: 10.1093/biostatistics/kxy031.
- Evaluating Public Health Interventions: 8. Causal Inference for Time-Invariant Interventions.Spiegelman D, Zhou X. Evaluating Public Health Interventions: 8. Causal Inference for Time-Invariant Interventions. American Journal Of Public Health 2018, 108: 1187-1190. PMID: 30024804, PMCID: PMC6085031, DOI: 10.2105/ajph.2018.304530.
- Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of TanzaniaLeslie HH, Spiegelman D, Zhou X, Kruk ME. Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania. Bulletin Of The World Health Organization 2017, 95: 738-748. PMID: 29147054, PMCID: PMC5677617, DOI: 10.2471/blt.17.191916.
- Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses’ health studyLiao X, Zhou X, Wang M, Hart JE, Laden F, Spiegelman D. Survival analysis with functions of mismeasured covariate histories: the case of chronic air pollution exposure in relation to mortality in the nurses’ health study. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2017, 67: 307-327. PMID: 29430064, PMCID: PMC5801717, DOI: 10.1111/rssc.12229.
- Ready or Not? Service Readiness of Health Facilities in High-Mortality CountriesLeslie H, Spiegelman D, Zhou X, Kruk M. Ready or Not? Service Readiness of Health Facilities in High-Mortality Countries. Annals Of Global Health 2017, 83: 53. DOI: 10.1016/j.aogh.2017.03.115.
- “Cross-sectional” stepped wedge designs always reduce the required sample size when there is no time effectZhou X, Liao X, Spiegelman D. “Cross-sectional” stepped wedge designs always reduce the required sample size when there is no time effect. Journal Of Clinical Epidemiology 2017, 83: 108-109. PMID: 28093263, PMCID: PMC5517056, DOI: 10.1016/j.jclinepi.2016.12.011.
- Residual Weighted Learning for Estimating Individualized Treatment Rules.Zhou X, Mayer-Hamblett N, Khan U, Kosorok MR. Residual Weighted Learning for Estimating Individualized Treatment Rules. Journal Of The American Statistical Association 2017, 112: 169-187. PMID: 28943682, PMCID: PMC5607057, DOI: 10.1080/01621459.2015.1093947.
- Effects of Hand Fellowship Training on Rates of Endoscopic and Open Carpal Tunnel Release.Smetana BS, Zhou X, Hurwitz S, Kamath GV, Patterson JM. Effects of Hand Fellowship Training on Rates of Endoscopic and Open Carpal Tunnel Release. The Journal Of Hand Surgery 2016, 41: e53-8. PMID: 26832310, DOI: 10.1016/j.jhsa.2015.12.027.
- A note on “Design and analysis of stepped wedge cluster randomized trials”Liao X, Zhou X, Spiegelman D. A note on “Design and analysis of stepped wedge cluster randomized trials”. Contemporary Clinical Trials 2015, 45: 338-339. PMID: 26394003, PMCID: PMC4861952, DOI: 10.1016/j.cct.2015.09.011.
- IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma.Carson CC, Moschos SJ, Edmiston SN, Darr DB, Nikolaishvili-Feinberg N, Groben PA, Zhou X, Kuan PF, Pandey S, Chan KT, Jordan JL, Hao H, Frank JS, Hopkinson DA, Gibbs DC, Alldredge VD, Parrish E, Hanna SC, Berkowitz P, Rubenstein DS, Miller CR, Bear JE, Ollila DW, Sharpless NE, Conway K, Thomas NE. IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma. Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research 2015, 21: 2167-76. PMID: 25934889, PMCID: PMC4418029, DOI: 10.1158/1078-0432.CCR-14-1826.
- DNA methylation profiles in primary cutaneous melanomas are associated with clinically significant pathologic features.Thomas NE, Slater NA, Edmiston SN, Zhou X, Kuan PF, Groben PA, Carson CC, Hao H, Parrish E, Moschos SJ, Berwick M, Ollila DW, Conway K. DNA methylation profiles in primary cutaneous melanomas are associated with clinically significant pathologic features. Pigment Cell & Melanoma Research 2014, 27: 1097-105. PMID: 24986547, PMCID: PMC4211983, DOI: 10.1111/pcmr.12289.
- DNA-methylation profiling distinguishes malignant melanomas from benign nevi.Conway K, Edmiston SN, Khondker ZS, Groben PA, Zhou X, Chu H, Kuan PF, Hao H, Carson C, Berwick M, Olilla DW, Thomas NE. DNA-methylation profiling distinguishes malignant melanomas from benign nevi. Pigment Cell & Melanoma Research 2011, 24: 352-60. PMID: 21375697, PMCID: PMC3073305, DOI: 10.1111/j.1755-148X.2011.00828.x.
- A statistical framework for Illumina DNA methylation arrays.Kuan PF, Wang S, Zhou X, Chu H. A statistical framework for Illumina DNA methylation arrays. Bioinformatics (Oxford, England) 2010, 26: 2849-55. PMID: 20880956, PMCID: PMC3025715, DOI: 10.1093/bioinformatics/btq553.
- MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray dataZhou X, Tuck DP. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data. Bioinformatics 2007, 23: 1106-1114. PMID: 17494773, DOI: 10.1093/bioinformatics/btm036.
- The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.Zhou X, Mao KZ. The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms. Bioinformatics (Oxford, England) 2006, 22: 2507-15. PMID: 16908500, DOI: 10.1093/bioinformatics/btl438.
- Regularization network-based gene selection for microarray data analysis.Zhou X, Mao KZ. Regularization network-based gene selection for microarray data analysis. International Journal Of Neural Systems 2006, 16: 341-52. PMID: 17117495, DOI: 10.1142/S0129065706000743.
- LS Bound based gene selection for DNA microarray data.Zhou X, Mao KZ. LS Bound based gene selection for DNA microarray data. Bioinformatics (Oxford, England) 2005, 21: 1559-64. PMID: 15598834, DOI: 10.1093/bioinformatics/bti216.