Natasha MacBean - Related publications

Indiana University, Bloomington, Bloomington, IN, United States 
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50 most relevant papers in past 60 days:
Year Citation  Score
2021 Wang L. Data Driven Explanation of Temporal and Spatial Variability of Maize Yield in the United States. Frontiers in Plant Science. 12: 701192. PMID 34621282 DOI: 10.3389/fpls.2021.701192   
2021 Hewer MJ, Beech N, Gough WA. Development and validation of the Climate Model Confidence Index (CMCI): measuring ability to reproduce historical climate conditions. Theoretical and Applied Climatology. 144: 1059-1075. PMID 34720288 DOI: 10.1007/s00704-021-03581-5   
2021 Huang C, Sun K, Hu J, Xue T, Xu H, Wang M. Estimating 2013-2019 NO exposure with high spatiotemporal resolution in China using an ensemble model. Environmental Pollution (Barking, Essex : 1987). 118285. PMID 34634409 DOI: 10.1016/j.envpol.2021.118285   
2021 Xu M, Wang C, Ling L, Batchelor WD, Zhang J, Kuai J. Sensitivity analysis of the CROPGRO-Canola model in China: A case study for rapeseed. Plos One. 16: e0259929. PMID 34793545 DOI: 10.1371/journal.pone.0259929   
2021 Li K, Xiong P, Wu Y, Dong Y. Forecasting greenhouse gas emissions with the new information priority generalized accumulative grey model. The Science of the Total Environment. 150859. PMID 34634346 DOI: 10.1016/j.scitotenv.2021.150859   
2021 Kim S, Tong X, Zhou J, Boichuk JP. Conditional median-based Bayesian growth mixture modeling for nonnormal data. Behavior Research Methods. PMID 34590287 DOI: 10.3758/s13428-021-01655-w   
2021 Gregr EJ, Haggarty DR, Davies SC, Fields C, Lessard J. Comprehensive marine substrate classification applied to Canada's Pacific shelf. Plos One. 16: e0259156. PMID 34714844 DOI: 10.1371/journal.pone.0259156   
2021 Cahill N, Sonneveldt E, Emmart P, Williamson J, Mbu R, Fodjo Yetgang AB, Dambula I, Azambuja G, Mahumane Govo AA, Joshi B, Felix S, Makashaka C, Ndaruhutse V, Serucaca J, Madzima B, et al. Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence. Plos One. 16: e0258304. PMID 34714856 DOI: 10.1371/journal.pone.0258304   
2021 Barber N, Alvarado E, Kane VR, Mell WE, Moskal LM. Estimating Fuel Moisture in Grasslands Using UAV-Mounted Infrared and Visible Light Sensors. Sensors (Basel, Switzerland). 21. PMID 34640670 DOI: 10.3390/s21196350   
2021 Yazdandoost F, Zakipour M, Izadi A. Copula based post-processing for improving the NMME precipitation forecasts. Heliyon. 7: e07877. PMID 34504971 DOI: 10.1016/j.heliyon.2021.e07877   
2021 Bjørdalsbakke NL, Sturdy JT, Hose DR, Hellevik LR. Parameter estimation for closed-loop lumped parameter models of the systemic circulation using synthetic data. Mathematical Biosciences. 108731. PMID 34758345 DOI: 10.1016/j.mbs.2021.108731   
2021 Wang X, Chinchilli VM. Analysis of crossover designs for longitudinal binary data with ignorable and nonignorable dropout. Statistical Methods in Medical Research. 9622802211047177. PMID 34779672 DOI: 10.1177/09622802211047177   
2021 Williamson ER, Sergeant CJ. Independent validation of downscaled climate estimates from a coastal Alaska watershed using local historical weather journals. Peerj. 9: e12055. PMID 34595065 DOI: 10.7717/peerj.12055   
2021 Sun J, Yue Y, Niu H. Evaluation of NPP using three models compared with MODIS-NPP data over China. Plos One. 16: e0252149. PMID 34793471 DOI: 10.1371/journal.pone.0252149   
2021 Wasim M, Ali A, Choudhry MA, Saleem F, Shaikh IUH, Iqbal J. Unscented Kalman filter for airship model uncertainties and wind disturbance estimation. Plos One. 16: e0257849. PMID 34739486 DOI: 10.1371/journal.pone.0257849   
2021 Opoku EA, Ahmed SE, Nathoo FS. Sparse Estimation Strategies in Linear Mixed Effect Models for High-Dimensional Data Application. Entropy (Basel, Switzerland). 23. PMID 34682072 DOI: 10.3390/e23101348   
2021 Zhang C, Chen F, Sun L, Ma Z, Yao Y. A new seasonal frozen soil water-thermal coupled migration model and its numerical simulation. Plos One. 16: e0258861. PMID 34808660 DOI: 10.1371/journal.pone.0258861   
2021 Xie C, Huang C, Zhang D, He W. BiLSTM-I: A Deep Learning-Based Long Interval Gap-Filling Method for Meteorological Observation Data. International Journal of Environmental Research and Public Health. 18. PMID 34639622 DOI: 10.3390/ijerph181910321   
2021 Yang Y, Zheng S, Ai Z, Jafari MMM. On the Prediction of Biogas Production from Vegetables, Fruits, and Food Wastes by ANFIS- and LSSVM-Based Models. Biomed Research International. 2021: 9202127. PMID 34604386 DOI: 10.1155/2021/9202127   
2021 Palmer PI, Feng L, Lunt MF, Parker RJ, Bösch H, Lan X, Lorente A, Borsdorff T. The added value of satellite observations of methane forunderstanding the contemporary methane budget. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 379: 20210106. PMID 34565220 DOI: 10.1098/rsta.2021.0106   
2021 Brandyk A, Szeląg B, Kiczko A, Krukowski M, Kozioł A, Piotrowski J, Majewski G. In Search of a Soil Moisture Content Simulation Model: Mechanistic and Data Mining Approach Based on TDR Method Results. Sensors (Basel, Switzerland). 21. PMID 34696032 DOI: 10.3390/s21206819   
2021 Qader MR, Khan S, Kamal M, Usman M, Haseeb M. Forecasting carbon emissions due to electricity power generation in Bahrain. Environmental Science and Pollution Research International. PMID 34661842 DOI: 10.1007/s11356-021-16960-2   
2021 Sun X, Rashid M, Hobbs N, Askari MR, Brandt R, Shahidehpour A, Cinar A. Prior Informed Regularization of Recursively Updated Latent-Variables-Based Models with Missing Observations. Control Engineering Practice. 116. PMID 34539101 DOI: 10.1016/j.conengprac.2021.104933   
2021 Eldaly AK, Fang M, Di Fulvio A, McLaughlin S, Davies ME, Altmann Y, Wiaux Y. Bayesian Activity Estimation and Uncertainty Quantification of Spent Nuclear Fuel Using Passive Gamma Emission Tomography. Journal of Imaging. 7. PMID 34677298 DOI: 10.3390/jimaging7100212   
2021 Liu S, Jin X, Nie C, Wang S, Yu X, Cheng M, Shao M, Wang Z, Tuohuti N, Bai Y, Liu Y. Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms. Plant Physiology. PMID 34618054 DOI: 10.1093/plphys/kiab322   
2021 Toda Y, Kaga A, Kajiya-Kanegae H, Hattori T, Yamaoka S, Okamoto M, Tsujimoto H, Iwata H. Genomic prediction modeling of soybean biomass using UAV-based remote sensing and longitudinal model parameters. The Plant Genome. e20157. PMID 34595846 DOI: 10.1002/tpg2.20157   
2021 Liu C, Shi K. A review on methodology in O-NOx-VOC sensitivity study. Environmental Pollution (Barking, Essex : 1987). 118249. PMID 34600066 DOI: 10.1016/j.envpol.2021.118249   
2021 Spyroglou I, Skalák J, Balakhonova V, Benedikty Z, Rigas AG, Hejátko J. Mixed Models as a Tool for Comparing Groups of Time Series in Plant Sciences. Plants (Basel, Switzerland). 10. PMID 33668650 DOI: 10.3390/plants10020362   
2021 Lan B, Haaland P, Krishnamurthy A, Peden DB, Schmitt PL, Sharma P, Sinha M, Xu H, Fecho K. Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case. International Journal of Environmental Research and Public Health. 18. PMID 34769911 DOI: 10.3390/ijerph182111398   
2021 Xu Z, Han Y, Tam CY, Yang ZL, Fu C. Bias-corrected CMIP6 global dataset for dynamical downscaling of the historical and future climate (1979-2100). Scientific Data. 8: 293. PMID 34737356 DOI: 10.1038/s41597-021-01079-3   
2021 Zhou Y, He Y, Wu J, Cui C, Chen M, Sun B. A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced-order model. International Journal For Numerical Methods in Biomedical Engineering. e3533. PMID 34585523 DOI: 10.1002/cnm.3533   
2021 Seo J, Yun B, Kim J, Shin M, Park S. Development of a cold-start emission model for diesel vehicles using an artificial neural network trained with real-world driving data. The Science of the Total Environment. 151347. PMID 34728203 DOI: 10.1016/j.scitotenv.2021.151347   
2021 Wang W, Wang Y, Zhao X. Semiparametric analysis of multivariate panel count data with nonlinear interactions. Lifetime Data Analysis. PMID 34608590 DOI: 10.1007/s10985-021-09537-1   
2021 Wang W, Loladze I, Wang J, Han Y, Gu J, Zhang H, Liu L, Wang J, Xu Y, Zhang W, Wang Z, Yang J. Improving the accuracy of meta-analysis for datasets with missing measures of variance: Elevated [CO] effect on plant growth as a case study. The Science of the Total Environment. 150669. PMID 34597563 DOI: 10.1016/j.scitotenv.2021.150669   
2021 Fang X, Feng H. Study on discriminant method of rock type for porous carbonate reservoirs based on Bayesian theory. Scientific Reports. 11: 18622. PMID 34545164 DOI: 10.1038/s41598-021-98154-x   
2021 Wei N, Zhang Q, Zhang Y, Jin J, Chang J, Yang Z, Ma C, Jia Z, Ren C, Wu L, Peng J, Mao H. Super-learner model realizes the transient prediction of CO and NOx of diesel trucks: Model development, evaluation and interpretation. Environment International. 158: 106977. PMID 34775187 DOI: 10.1016/j.envint.2021.106977   
2021 García-Nieto PJ, García-Gonzalo E, Paredes-Sánchez JP, Bernardo Sánchez A. Modelling energy performance using a new hybrid DE/MARS-based approach for fossil-fuel thermal power stations. Environmental Science and Pollution Research International. 28: 4417-4429. PMID 32944856 DOI: 10.1007/s11356-020-10725-z   
2021 Barnard S, Chiavenna C, Fox S, Charlett A, Waller Z, Andrews N, Goldblatt P, Burton P, De Angelis D. Methods for modelling excess mortality across England during the COVID-19 pandemic. Statistical Methods in Medical Research. 9622802211046384. PMID 34693801 DOI: 10.1177/09622802211046384   
2021 Grisafi F, DeJong TM, Tombesi S. Fruit tree crop models: an update. Tree Physiology. PMID 34542149 DOI: 10.1093/treephys/tpab126   
2021 Penman TD, McColl-Gausden SC, Cirulis BA, Kultaev D, Ababei DA, Bennett LT. Improved accuracy of wildfire simulations using fuel hazard estimates based on environmental data. Journal of Environmental Management. 301: 113789. PMID 34592661 DOI: 10.1016/j.jenvman.2021.113789   
2021 Edmondson MJ, Luo C, Duan R, Maltenfort M, Chen Z, Locke K, Shults J, Bian J, Ryan PB, Forrest CB, Chen Y. An efficient and accurate distributed learning algorithm for modeling multi-site zero-inflated count outcomes. Scientific Reports. 11: 19647. PMID 34608222 DOI: 10.1038/s41598-021-99078-2   
2021 Salmerón D, Botta L, Martínez JM, Trama A, Gatta G, Borràs JM, Capocaccia R, Clèries R, Rare Cancers-RARECAREnet Working Group ATINO. Estimating Country-Specific Incidence Rates of Rare Cancers: Comparative Performance Analysis of Modelling Approaches Using European Cancer Registry Data. American Journal of Epidemiology. PMID 34718388 DOI: 10.1093/aje/kwab262   
2021 Galmarini S, Makar P, Clifton OE, Hogrefe C, Bash JO, Bellasio R, Bianconi R, Bieser J, Butler T, Ducker J, Flemming J, Hodzic A, Holmes CD, Kioutsioukis I, Kranenburg R, et al. Technical note: AQMEII4 Activity 1: evaluation of wet and dry deposition schemes as an integral part of regional-scale air quality models. Atmospheric Chemistry and Physics. 21: 1-15663. PMID 34824572 DOI: 10.5194/acp-21-15663-2021   
2021 Shameer S, Wang Y, Bota P, Ratcliffe RG, Long SP, Sweetlove LJ. A hybrid kinetic and constraint-based model of leaf metabolism allows predictions of metabolic fluxes in different environments. The Plant Journal : For Cell and Molecular Biology. PMID 34699645 DOI: 10.1111/tpj.15551   
2021 Yu Z, Guindani M, Grieco SF, Chen L, Holmes TC, Xu X. Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research. Neuron. PMID 34784504 DOI: 10.1016/j.neuron.2021.10.030   
2021 Kaplan BA, Franck CT, McKee K, Gilroy SP, Koffarnus MN. Applying Mixed-Effects Modeling to Behavioral Economic Demand: An Introduction. Perspectives On Behavior Science. 44: 333-358. PMID 34632281 DOI: 10.1007/s40614-021-00299-7   
2021 Sun J, Guo X, Wang Y, Shi J, Zhou Y, Shen B. Nexus among energy consumption structure, energy intensity, population density, urbanization, and carbon intensity: a heterogeneous panel evidence considering differences in electrification rates. Environmental Science and Pollution Research International. PMID 34713407 DOI: 10.1007/s11356-021-17165-3   
2021 Platikanov S, Terrado M, Pay MT, Soret A, Tauler R. Understanding temporal and spatial changes of O or NO concentrations combining multivariate data analysis methods and air quality transport models. The Science of the Total Environment. 150923. PMID 34653450 DOI: 10.1016/j.scitotenv.2021.150923   
2021 Dharmalingam S, Senthilkumar N, D'Souza RR, Hu Y, Chang HH, Ebelt S, Yu H, Kim CS, Rohr A. Developing air pollution concentration fields for health studies using multiple methods: Cross-comparison and evaluation. Environmental Research. 112207. PMID 34653409 DOI: 10.1016/j.envres.2021.112207   
2021 Ni A, Lin Z, Lu B. Stratified Restricted Mean Survival Time Model for Marginal Causal Effect in Observational Survival Data. Annals of Epidemiology. PMID 34619324 DOI: 10.1016/j.annepidem.2021.09.016