Robuta

https://www.buzzsprout.com/639103/episodes/18965078-s7e19-growth-modeling-with-time-varying-covariates?t=0 S7E19 Growth Modeling With Time-Varying Covariates In this week's episode, Greg and Patrick have great fun talking about the inclusion of time-varying covariates within growth models. They differentiate time... with timegrowthmodelingcovariates https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0287137 Covariates of a healthy diet and physical activity self-management one year after Bariatric... Background Healthy diet and physical activity self-management is important in maintaining weight loss and preventing weight regain after bariatric surgery. We... https://www.tims.ntu.edu.tw/modules/news/article.php?storyid=2121 Logistic regression with outcome and covariates missing separately or simultaneously - Talks - News... Logistic regression with outcome and covariates missing separately or simultaneously logistic regression https://pubmed.ncbi.nlm.nih.gov/20037674/ Diagnostic Measures for Generalized Linear Models with Missing Covariates In this paper, we carry out an in-depth investigation of diagnostic measures for assessing the influence of observations and model misspecification in the... generalized linear modelsdiagnosticmeasuresmissingcovariates https://repository.lib.ncsu.edu/items/31e61e65-dee8-46f0-9efa-537855d89f21/full Semiparametric Regression Models for Interacting Covariates. regressionmodelsinteractingcovariates https://research.birmingham.ac.uk/en/publications/uncovering-pseudotemporal-trajectories-with-covariates-from-singl/ Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data -... https://su.diva-portal.org/smash/record.jsf?pid=diva2%3A1479036 Dynamic Bayesian adjustment of anticipatory covariates in retrospective data : application to the... https://economics.princeton.edu/events/louise-laage/ Estimating stochastic block models in the presence of covariates - Princeton University -... Sep 2, 2025 - Louise Laage, Georgetown University visiting Princeton 217 JRR in theestimatingstochasticblockmodels https://openmx.ssri.psu.edu/comment/9838 Question about covariates/definition variables | OpenMx questioncovariatesdefinitionvariablesopenmx https://openmx.ssri.psu.edu/comment/7519 Including covariates to saturated model | OpenMx includingcovariatessaturatedmodelopenmx https://www.cambridge.org/core/journals/psychometrika/article/twostep-estimator-for-multilevel-latent-class-analysis-with-covariates/BFBCEBC7B6DAA117FC56F013AB22FD5F A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates | Psychometrika |... A Two-Step Estimator for Multilevel Latent Class Analysis with Covariates - Volume 88 Issue 4 two step https://online.stat.psu.edu/stat502/book/export/html/928 12.2 - Coding for Carry-over Covariates: Psychiatry Example carry overcodingcovariatespsychiatryexample https://openmx.ssri.psu.edu/comment/7520 Including covariates to saturated model | OpenMx includingcovariatessaturatedmodelopenmx https://www.earthdata.nasa.gov/fr/data/catalog/ornl-cloud-dall-sheep-snowpack-1602-1 ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008 | NASA Earthdata ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008 https://openmx.ssri.psu.edu/comment/7511 Including covariates to saturated model | OpenMx includingcovariatessaturatedmodelopenmx https://repository.library.noaa.gov/view/noaa/53451 Improving landings forecasts using environmental covariates: A case study on the Indian oil sardine... Commercial landings of sardines are known to show strong year- to- year fluctuations. A key driver is thought to be environmental variability, to which small... https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0067997 Estimating Bat and Bird Mortality Occurring at Wind Energy Turbines from Covariates and Carcass... Environmental impacts of wind energy facilities increasingly cause concern, a central issue being bats and birds killed by rotor blades. Two approaches have... https://portal.fis.tum.de/en/publications/tardis-achieving-robust-andstructured-disentanglement-ofmultiple-/ TarDis: Achieving Robust and Structured Disentanglement of Multiple Covariates - Technical... tardisachievingrobuststructureddisentanglement https://vivo.colorado.edu/display/pubid_52358 The inclusion of measured covariates in the Neale and Kendler model fitting approach | CU Experts |... https://dukespace.lib.duke.edu/items/2a5ca10d-d811-45e3-97fc-f04d0ffab7f8/full Comparison of regression imputation methods of baseline covariates that predict survival outcomes. comparisonregressionimputationmethods https://stat.uw.edu/research/preprints/arxiv-paper/predicting-responses-weighted-networks-node-covariates-application Predicting Responses from Weighted Networks with Node Covariates in an Application to Neuroimaging... We consider the setting where many networks are observed on a common node set, and each observation comprises edge weights of a network, covariates observed at... https://par.nsf.gov/biblio/10312100-hawkes-process-modeling-covid-mobility-leading-indicators-spatial-covariates Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates | NSF... This page contains metadata information for the record with PAR ID 10312100 https://mpra.ub.uni-muenchen.de/80796/ On the Role of Covariates in the Synthetic Control Method Munich Personal RePEc Archive https://nij.ojp.gov/library/publications/self-exciting-point-processes-spatial-covariates-modelling-dynamics-crime Self-exciting Point Processes With Spatial Covariates: Modelling the Dynamics of Crime | National... This study demonstrated that spatial and temporal factors related to crime patterns are generally confounded, requiring analyses to take both into account, and... https://pure.psu.edu/en/publications/accelerated-failure-time-model-for-case-cohort-design-with-longit/ Accelerated failure time model for case-cohort design with longitudinal covariates subject to... https://arxiv.org/abs/2505.02514v1 [2505.02514v1] Uncovering Population PK Covariates from VAE-Generated Latent Spaces Abstract page for arXiv paper 2505.02514v1: Uncovering Population PK Covariates from VAE-Generated Latent Spaces uncoveringpopulationpk https://pubmed.ncbi.nlm.nih.gov/11781126/ A comparison of summary patient-level covariates in meta-regression with individual patient data... Meta-analysis of summary data may be adequate when estimating a single pooled treatment effect or investigating study level characteristics. However, when... https://www.ideals.illinois.edu/items/123412 The role of covariates on inferring the Q-matrix and learning trajectory | IDEALS the role https://openmx.ssri.psu.edu/comment/7510 Including covariates to saturated model | OpenMx includingcovariatessaturatedmodelopenmx https://pure.psu.edu/en/publications/goodness-of-fit-tests-for-general-linear-models-with-covariates-m/ Goodness-of-fit tests for general linear models with covariates missed at random - Penn State https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/831/items/1.0092156 Nonlinear mixed effects models with dropout and missing covariates when the dropout depends on the... Learning, knowledge, research, insight: welcome to the world of UBC Library, the second-largest academic research library in Canada. https://scholars.duke.edu/publication/1154102 Scholars@Duke publication: A new approach to estimating life tables with covariates and... a new approach https://uwspace.uwaterloo.ca/items/aa2202bc-193c-4f19-85bc-f682e95daad2 Analysis of Multi-State Models with Mismeasured Covariates or Misclassified States Multi-state models provide a useful framework for estimating the rate of transitions between defined disease states and understanding the influence of... analysismultistatemodels https://openmx.ssri.psu.edu/comment/8656 Bivariate ACE model with covariates for ordinal variables | OpenMx ace modelbivariatecovariatesordinalvariables https://pmc.ncbi.nlm.nih.gov/articles/PMC12282553/ Independent Component Analysis (ICA) With Covariates Strengthens Behavioral Links in... The search for reliable biomarkers of clinical and cognitive deficits remains the holy grail of clinical neuroscience, with improved predictive methods and... component analysisindependenticacovariatesbehavioral https://uwspace.uwaterloo.ca/items/0569c393-f66b-48f6-84ed-c37bc740190d Statistical Methods for Incomplete Covariates and Two-Phase Designs Incomplete data is a pervasive problem in health research, and as a result statistical methods enabling inference based on partial information play a critical... statistical methodstwo phaseincompletecovariatesdesigns https://openresearch-repository.anu.edu.au/items/37a7a94a-8d54-46b1-a957-39361726be5c/full Imputations for High Missing Rate Data in Covariates Via Semi-supervised Learning Approach Advancements in data collection techniques and the heterogeneity of data resources can yield high percentages of missing observations on variables, such as... https://ub01.uni-tuebingen.de/xmlui/handle/10900/157824 Assessing the role of environmental covariates and pixel size in soil property prediction : a... https://rivista-statistica.unibo.it/article/view/9854 Parameterization of Continuous Covariates in the Poisson Capture-Recapture Log Linear Model for... https://dash.harvard.edu/entities/publication/73120378-a563-6bd4-e053-0100007fdf3b Survival Analysis with High-Dimensional c\Covariates, with Applications to Cancer Genomics Recent technological advances have given cancer researchers the ability to gather vast amounts of genetic and genomic data from individual patients. These... survival analysishighdimensional https://scholarworks.gsu.edu/items/e03a7efe-a4f3-4d25-a104-5764b919f460 Analysis of Additive Risk Model with High Dimensional Covariates Using Partial Least Squares https://jp.mathworks.com/help/simbio/ref/covariatemodel.html CovariateModel - Define relationship between parameters and covariates - MATLAB A CovariateModel object defines the relationship between estimated parameters and covariates. definerelationshipparameterscovariatesmatlab https://www.earthdata.nasa.gov/data/catalog/ornl-cloud-dall-sheep-snowpack-1602-1 ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008 | NASA Earthdata ABoVE: Dall Sheep Response to Snow and Landscape Covariates, Alaska, 2005-2008 https://researchportalplus.anu.edu.au/en/publications/penalized-sparse-covariance-regression-with-high-dimensional-cova/ Penalized Sparse Covariance Regression with High Dimensional Covariates - The Australian National... the australiansparsecovarianceregression https://scholars.cityu.edu.hk/en/publications/model-selection-of-hierarchically-structured-covariates-using-ela/ Model selection of hierarchically structured covariates using elastic net - CityUHK Scholars model selectionelastic netstructured https://www.buzzsprout.com/639103/episodes/18965078-s7e19-growth-modeling-with-time-varying-covariates S7E19 Growth Modeling With Time-Varying Covariates In this week's episode, Greg and Patrick have great fun talking about the inclusion of time-varying covariates within growth models. They differentiate time... with timegrowthmodelingcovariates https://researchconnect.buffalo.edu/en/publications/detecting-pharmacokinetic-and-pharmacodynamic-covariates-from-hig/ Detecting pharmacokinetic and pharmacodynamic covariates from high-dimensional data - SUNY... dimensional datadetectingpharmacokineticcovariateshigh https://nij.ojp.gov/funding/awards/2019-du-bx-4011 Accounting for Covariates in Forensic Error Rate Assessment and Evidence Interpretation | National... Some deficiencies in the nation's forensic science system are noted in the Congressionally mandated 2009 National Academy of Science (NAS) report entitled... https://pmc.ncbi.nlm.nih.gov/articles/PMC8596495/ Prevalence and Sociodemographic Covariates of Cervical Cancer and Its Association With Menstrual... Background and objective Menstrual irregularities and sociodemographic factors such as increasing age, Hispanic race, low socioeconomic strata, and low income... cervical cancerprevalencecovariates https://arxiv.org/abs/1909.04990 [1909.04990] Robust Regression with Compositional Covariates Abstract page for arXiv paper 1909.04990: Robust Regression with Compositional Covariates robustregressioncovariates https://openmx.ssri.psu.edu/forums/opensem-forums/longitudinal-sem-and-latent-growth-curves/ri-clpm-covariates-and-scaling RI-CLPM: covariates and scaling | OpenMx riscalingopenmx https://scholars.duke.edu/publication/1249925 Scholars@Duke publication: Balancing Covariates via Propensity Score Weighting scholarsdukepublicationbalancingcovariates https://eric.ed.gov/?id=EJ1281725 ERIC - EJ1281725 - Testing Measurement Invariance across Unobserved Groups: The Role of Covariates... Factor mixture modeling (FMM) has been increasingly used to investigate unobserved population heterogeneity. This study examined the issue of covariate effects... https://cran.wustl.edu/web/packages/eventPred/vignettes/event_prediction_incorporating_covariates.html Event Prediction Incorporating Covariates eventpredictionincorporatingcovariates https://au.mathworks.com/help/stats/dcovary.html dcovary - D-optimal design with fixed covariates - MATLAB This MATLAB function uses a coordinate-exchange algorithm to generate a D-optimal design for a linear additive model with nfactors factors, subject to the... optimal designfixedcovariatesmatlab https://su.diva-portal.org/smash/record.jsf?faces-redirect=true&language=en&searchType=SIMPLE&query=&af=%5B%5D&aq=%5B%5B%5D%5D&aq2=%5B%5B%5D%5D&aqe=%5B%5D&pid=diva2%3A1479036&noOfRows=50&sortOrder=author_sort_asc&sortOrder2=title_sort_asc&onlyFullText=false&sf=all Dynamic Bayesian adjustment of anticipatory covariates in retrospective data : application to the...