Open Access Policy Deposits
There are 714 publications in this collection, published between 1983 and 2024. Showing 251 - 300.
Hedman, Hayden D; Eisenberg, Joseph NS; Vasco, Karla A; Blair, Christopher N; Trueba, Gabriel; Berrocal, Veronica J et al.: High Prevalence of Extended-Spectrum Beta-Lactamase CTX-M-Producing <i>Escherichia coli</i> in Small-Scale Poultry Farming in Rural Ecuador., 2019
Hedman, HD; Eisenberg, JNS; Trueba, G; Rivera, DL Vinueza; Herrera, RA Zurita; Barrazueta, J Villacis et al.: Impacts of small-scale chicken farming activity on antimicrobial-resistant <i>Escherichia coli</i> carriage in backyard chickens and children in rural Ecuador., 2019
Hill, Brian L; Brown, Robert; Gabel, Eilon; Rakocz, Nadav; Lee, Christine; Cannesson, Maxime et al.: An automated machine learning-based model predicts postoperative mortality using readily-extractable preoperative electronic health record data, 2019
Hipp, John R; Bates, Christopher; Lichman, Moshe; Smyth, Padhraic: Using Social Media to Measure Temporal Ambient Population: Does it Help Explain Local Crime Rates?, 2019
Hu, Tianle; Nan, Bin; Lin, Xihong: Proportional cross-ratio model, 2019
Huang, Susan S; Singh, Raveena; McKinnell, James A; Park, Steven; Gombosev, Adrijana; Eells, Samantha J et al.: Decolonization to Reduce Postdischarge Infection Risk among MRSA Carriers, 2019
Jiang, Shan; Kamei, Noriko; Bolton, Jessica L; Ma, Xinyi; Stern, Hal S; Baram, Tallie Z et al.: Intra-individual methylomics detects the impact of early-life adversity, 2019
Khalili, Roxana; Levy, Jonathan; Fabian, M; Korrick, Susan; Vieira, Veronica; Bartell, Scott: Using Birth Cohort Data to Estimate Prenatal Chemical Exposures for All Births around the New Bedford Harbor Superfund Site in Massachusetts., 2019
Khalili, Roxana; Bartell, Scott M; Levy, Jonathan I; Fabian, M Patricia; Korrick, Susan; Vieira, Verónica M: Using Birth Cohort Data to Estimate Prenatal Chemical Exposures for All Births around the New Bedford Harbor Superfund Site in Massachusetts, 2019
Khanna, Dinesh; Serrano, Jennifer; Berrocal, Veronica J; Silver, Richard M; Cuencas, Pedro; Newbill, Sharon L et al.: Randomized Controlled Trial to Evaluate an Internet-Based Self-Management Program in Systemic Sclerosis., 2019
Ko, Gang; Obi, Yoshitsugu; Chang, Tae; Soohoo, Melissa; Eriguchi, Rieko; Choi, Soo et al.: Factors Associated With Withdrawal From Dialysis Therapy in Incident Hemodialysis Patients Aged 80 Years or Older., 2019
Ko, Gang Jee; Obi, Yoshitsugu; Chang, Tae Ik; Soohoo, Melissa; Eriguchi, Rieko; Choi, Soo Jeong et al.: Factors Associated With Withdrawal From Dialysis Therapy in Incident Hemodialysis Patients Aged 80 Years or Older, 2019
Koronowski, Kevin B; Kinouchi, Kenichiro; Welz, Patrick-Simon; Smith, Jacob G; Zinna, Valentina M; Shi, Jiejun et al.: Defining the Independence of the Liver Circadian Clock, 2019
Li, Xiang; Zhao, Qiongyi; Wei, Wei; Lin, Quan; Magnan, Christophe; Emami, Michael R et al.: The DNA modification N6-methyl-2’-deoxyadenosine (m6dA) drives activity-induced gene expression and is required for fear extinction, 2019
Li, Lingge; Pluta, Dustin; Shahbaba, Babak; Fortin, Norbert; Ombao, Hernando; Baldi, Pierre: Modeling Dynamic Functional Connectivity with Latent Factor Gaussian Processes., 2019
Li, L; Pluta, D; Shahbaba, B; Fortin, N; Ombao, H; Baldi, P: Modeling dynamic functional connectivity with latent factor Gaussian processes, 2019
Li, Lingge; Holbrook, Andrew; Shahbaba, Babak; Baldi, Pierre: Neural network gradient Hamiltonian Monte Carlo, 2019
Liu, Suyu; Chen, Yong; Ning, Jing; Shen, Weining: Regression analysis of longitudinal data with outcome-dependent sampling and informative censoring., 2019
Lopez, Velma K; Berrocal, Veronica J; Corozo Angulo, Betty; Ram, Pavani K; Trostle, James; Eisenberg, Joseph NS: Determinants of Latrine Use Behavior: The Psychosocial Proxies of Individual-Level Defecation Practices in Rural Coastal Ecuador., 2019
Low, Andrea HL; Ng, Sue-Ann; Berrocal, Veronica; Brennan, Benjamin; Chan, Grace; Ng, Swee-Cheng et al.: Evaluation of Scleroderma Clinical Trials Consortium training recommendations on modified Rodnan skin score assessment in scleroderma., 2019
Lynch, Katie M; Fair, Patricia A; Houde, Magali; Muir, Derek CG; Kannan, Kurunthachalam; Bossart, Gregory D et al.: Temporal Trends in Per- and Polyfluoroalkyl Substances in Bottlenose Dolphins (Tursiops truncatus) of Indian River Lagoon, Florida and Charleston, South Carolina, 2019
Ma, Hong; Yu, Shuo; Liu, Xiaojing; Zhang, Yingao; Fakadej, Thomas; Liu, Ziqing et al.: Lin28a Regulates Pathological Cardiac Hypertrophic Growth Through Pck2-Mediated Enhancement of Anabolic Synthesis, 2019
Ma, Hong; Yu, Shuo; Liu, Xiaojing; Zhang, Yingao; Fakadej, Thomas; Liu, Ziqing et al.: Lin28a Regulates Pathological Cardiac Hypertrophic Growth Through Pck2-Mediated Enhancement of Anabolic Synthesis., 2019
Nunez, Michael D; Gosai, Aishwarya; Vandekerckhove, Joachim; Srinivasan, Ramesh: The latency of a visual evoked potential tracks the onset of decision making, 2019
Oaks, Jamie R; Cobb, Kerry A; Minin, Vladimir N; Leaché, Adam D: Marginal Likelihoods in Phylogenetics: A Review of Methods and Applications, 2019
Park, Jihyun; Kotzias, Dimitrios; Kuo, Patty; Logan, Robert L; Merced, Kritzia; Singh, Sameer et al.: Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions, 2019
Patterson, Kurt; Shavarebi, Farbod; Magnan, Christophe; Chang, Ivan; Qi, Xiaojie; Baldi, Pierre et al.: Local features determine Ty3 targeting frequency at RNA polymerase III transcription start sites, 2019
Qian, Tianchen; Yoo, Hyesun; Klasnja, Predrag; Almirall, Daniel; Murphy, Susan A: Estimating Time-Varying Causal Excursion Effect in Mobile Health with Binary Outcomes, 2019
Qian, Tianchen; Rosenblum, Michael; Qiu, Huitong: Improving Precision through Adjustment for Prognostic Variables in Group Sequential Trial Designs: Impact of Baseline Variables, Short-Term Outcomes, and Treatment Effect Heterogeneity, 2019
Qian, Tianchen; Klasnja, Predrag; Murphy, Susan A: Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study, 2019
Ren, Zhile; Gallo, Orazio; Sun, Deqing; Yang, Ming-Hsuan; Sudderth, Erik B; Kautz, Jan: A Fusion Approach for Multi-Frame Optical Flow Estimation, 2019
Risser, Mark; Calder, Catherine; Berrocal, Veronica; Berrett, Candace: NONSTATIONARY SPATIAL PREDICTION OF SOIL ORGANIC CARBON: IMPLICATIONS FOR STOCK ASSESSMENT DECISION MAKING., 2019
Ryan, Mary M; Grill, Joshua D; Gillen, Daniel L: Participant and study partner prediction and identification of cognitive impairment in preclinical Alzheimer’s disease: study partner vs. participant accuracy, 2019
Sánchez, Alejandro; Castro, Carlos; Flores, Dora-Luz; Gutiérrez, Everardo; Baldi, Pierre: Gap Junction Channels of Innexins and Connexins: Relations and Computational Perspectives, 2019
Shahbaba, Babak; Lomeli, Luis Martinez; Chen, Tian; Lan, Shiwei: Deep Markov Chain Monte Carlo, 2019
Shen, Weining; Liu, Suyu; Chen, Yong; Ning, Jing: Regression analysis of longitudinal data with outcome‐dependent sampling and informative censoring, 2019
Shen, Ying; Clarke, Philippa; Gomez-Lopez, Iris N; Hill, Alex B; Romero, Daniel M; Goodspeed, Robert et al.: Using social media to assess the consumer nutrition environment: comparing Yelp reviews with a direct observation audit instrument for grocery stores., 2019
Soohoo, Melissa; Moradi, Hamid; Obi, Yoshitsugu; Rhee, Connie M; Gosmanova, Elvira O; Molnar, Miklos Z et al.: Statin Therapy Before Transition to End‐Stage Renal Disease With Posttransition Outcomes, 2019
Tang, Mingwei; Dudas, Gytis; Bedford, Trevor; Minin, Vladimir N: Fitting stochastic epidemic models to gene genealogies using linear noise approximation, 2019
Urban, Gregor; Bache, Kevin; Phan, Duc TT; Sobrino, Agua; Shmakov, Alexander K; Hachey, Stephanie J et al.: Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images, 2019
Vandekerckhove, Joachim; White, Corey N; Trueblood, Jennifer S; Rouder, Jeffrey N; Matzke, Dora; Leite, Fábio P et al.: Robust Diversity in Cognitive Science, 2019
Vandekerckhove, Joachim; White, Corey; Trueblood, Jennifer S; Rouder, Jeffrey N; Matzke, Dora; Leite, Fabio P et al.: Robust diversity in cognitive science, 2019
Vegetabile, Brian G; Stout-Oswald, Stephanie A; Davis, Elysia Poggi; Baram, Tallie Z; Stern, Hal S: Estimating the Entropy Rate of Finite Markov Chains With Application to Behavior Studies, 2019
Versace, Francesco; Frank, David W; Stevens, Elise M; Deweese, Menton M; Guindani, Michele; Schembre, Susan M: The reality of “food porn”: Larger brain responses to food‐related cues than to erotic images predict cue‐induced eating, 2019
Villanueva, Carolina; Chang, Jenny; Bartell, Scott M; Ziogas, Argyrios; Bristow, Robert; Vieira, Verónica M: Contribution of Geographic Location to Disparities in Ovarian Cancer Treatment., 2019
Wagenmakers, Eric–Jan; Gronau, Quentin F; Vandekerckhove, Joachim: Five Bayesian Intuitions for the Stopping Rule Principle, 2019
Westergaard, David; Moseley, Pope; Sørup, Freja Karuna Hemmingsen; Baldi, Pierre; Brunak, Søren: Population-wide analysis of differences in disease progression patterns in men and women, 2019
Xu, Jason; Koelle, Samson; Guttorp, Peter; Wu, Chuanfeng; Dunbar, Cynthia; Abkowitz, Janis L et al.: Statistical inference for partially observed branching processes with application to cell lineage tracking of in vivo hematopoiesis, 2019
Zhou, Yang; Liu, Ziqing; Welch, Joshua; Gao, Xu; Wang, Li; Garbutt, Tiffany et al.: Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming., 2019
Zhou, Yang; Liu, Ziqing; Welch, Joshua D; Gao, Xu; Wang, Li; Garbutt, Tiffany et al.: Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming, 2019