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Multimodel Inference and Multimodel Averaging in Empirical Modeling of Occupational Exposure Levels
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-0274(199906)35:6<581::aid-ajim5>3.0.co;2-iopenalex-snapshot
Exposures to wood dust in U.S. industries and occupations, 1979 to 1997
inferredcites →https://doi.org/10.1002/1099-095x(200011/12)11:6<745::aid-env431>3.0.co;2-nopenalex-snapshot
Model uncertainty and health effect studies for particulate matter
inferredcites →https://doi.org/10.1002/1099-095x(200011/12)11:6<745::aid-env431>3.3.co;2-eopenalex-snapshot
Model uncertainty and health effect studies for particulate matter
inferredcites →https://doi.org/10.1007/978-1-4757-3462-1openalex-snapshot
Regression Modeling Strategies
inferredcites →https://doi.org/10.1016/j.ecolmodel.2007.10.030openalex-snapshot
A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools
inferredcites →https://doi.org/10.1029/2008wr006803openalex-snapshot
On model selection criteria in multimodel analysis
inferredcites →https://doi.org/10.1038/sj.jea.7500454openalex-snapshot
Bootstrap model averaging in time series studies of particulate matter air pollution and mortality
inferredcites →https://doi.org/10.1080/00028899908984423openalex-snapshot
Studying the Determinants of Exposure: A Review of Methods
inferredcites →https://doi.org/10.1080/00401706.1997.10485141openalex-snapshot
Applied Linear Statistical Models
inferredcites →https://doi.org/10.1080/01621459.1997.10473615openalex-snapshot
Bayesian Model Averaging for Linear Regression Models
inferredcites →https://doi.org/10.1080/10635150490522304openalex-snapshot
Model Selection and Model Averaging in Phylogenetics: Advantages of Akaike Information Criterion and Bayesian Approaches Over Likelihood Ratio Tests
inferredcites →https://doi.org/10.1093/nar/gkl435openalex-snapshot
Non-linear analysis of GeneChip arrays
inferredcites →https://doi.org/10.1111/j.1365-2664.2006.01267.xopenalex-snapshot
Concerns regarding a call for pluralism of information theory and hypothesis testing
inferredcites →https://doi.org/10.1111/j.1468-0262.2007.00785.xopenalex-snapshot
Least Squares Model Averaging
inferredcites →https://doi.org/10.1111/j.1539-6924.2005.00676.xopenalex-snapshot
Model Averaging Using the Kullback Information Criterion in Estimating Effective Doses for Microbial Infection and Illness
inferredcites →https://doi.org/10.1111/j.1745-6584.2005.0061.xopenalex-snapshot
Multimodel Ranking and Inference in Ground Water Modeling
inferredcites →https://doi.org/10.1142/9789812385451openalex-snapshot
Regression and Time Series Model Selection
inferredcites →https://doi.org/10.1198/016214503000000828openalex-snapshot
Frequentist Model Average Estimators
inferredcites →https://doi.org/10.1198/tech.2003.s146openalex-snapshot
Model Selection and Multimodel Inference
inferredcites →https://doi.org/10.1890/0012-9658(2006)87[2626:mwatfo]2.0.co;2openalex-snapshot
MODEL WEIGHTS AND THE FOUNDATIONS OF MULTIMODEL INFERENCE
inferredcites →https://doi.org/10.1890/05-0074openalex-snapshot
TESTING ECOLOGICAL THEORY USING THE INFORMATION-THEORETIC APPROACH: EXAMPLES AND CAUTIONARY RESULTS
inferredcites →https://doi.org/10.2134/jeq2007.0105openalex-snapshot
Predicting Estuarine Sediment Metal Concentrations and Inferred Ecological Conditions: An Information Theoretic Approach
inferredcites →https://doi.org/10.2193/0022-541x(2005)069[0457:itiwsc]2.0.co;2openalex-snapshot
INVITED PAPER: INFORMATION THEORY IN WILDLIFE SCIENCE: CRITIQUE AND VIEWPOINT
inferredcites →https://doi.org/10.2307/2983440openalex-snapshot
Model Uncertainty, Data Mining and Statistical Inference
inferredcites →https://doi.org/10.3758/bf03206482openalex-snapshot
AIC model selection using Akaike weights
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Forecasting the West Texas Intermediate Crude Oil Spot Price Using Multi Model Inference
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Determining New Oil Market Predictors Under Model Uncertainty
inferred← citeshttps://doi.org/10.1002/for.2440openalex-snapshot
Multi‐model Forecasts of the West Texas Intermediate Crude Oil Spot Price
inferred← citeshttps://doi.org/10.1007/s00411-011-0397-2openalex-snapshot
Response to “model averaging in the analysis of leukaemia mortality among Japanese A-bomb survivors” by Richardson and Cole
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Ableitung kumulativer Dosismodelle zur Auswertung physischer Belastungen
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inferred← citeshttps://doi.org/10.1039/c2em30443kopenalex-snapshot
Statistical modeling of crystalline silica exposure by trade in the construction industry using a database compiled from the literature
inferred← citeshttps://doi.org/10.1080/15459624.2010.515553openalex-snapshot
Comparison of Formaldehyde Exposure Levels in Two Multi-Industry Occupational Exposure Databanks Using Multimodel Inference
inferred← citeshttps://doi.org/10.1093/annhyg/mes089openalex-snapshot
Silica Exposure During Construction Activities: Statistical Modeling of Task-Based Measurements from the Literature
inferred← citeshttps://doi.org/10.1093/annhyg/meu094openalex-snapshot
TEXAS: a Tool for EXposure ASsessment—Statistical Models for Estimating Occupational Exposure to Chemical Agents
inferred← citeshttps://doi.org/10.1093/annhyg/mev072openalex-snapshot
A Comparison of Two Strategies for Building an Exposure Prediction Model
inferred← citeshttps://doi.org/10.1093/annweh/wxw026openalex-snapshot
Predicting Directly Measured Trunk and Upper Arm Postures in Paper Mill Work From Administrative Data, Workers’ Ratings and Posture Observations
inferred← citeshttps://doi.org/10.1111/j.1600-0587.2010.6380.xopenalex-snapshot
What drives invasibility? A multi‐model inference test and spatial modelling of alien plant species richness patterns in northern Portugal
inferred← citeshttps://doi.org/10.1177/0312896214534150openalex-snapshot
Evidence of speculation in world oil prices
inferred← citeshttps://doi.org/10.1177/0962280220934501openalex-snapshot
Prediction of cancer survival for cohorts of patients most recently diagnosed using multi-model inference
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Pandemic Influenza (A/H1N1) Vaccine Uptake among French Private General Practitioners: A Cross Sectional Study in 2010
inferred← citeshttps://doi.org/10.1525/cond.2011.100087openalex-snapshot
Effects of Regional Cold Fronts and Localized Weather Phenomena on Autumn Migration of Raptors and Landbirds in Southwest Idaho
inferred← citeshttps://doi.org/10.2166/aqua.2015.109openalex-snapshot
Ranking of conceptualized groundwater models based on model information criteria
inferred← citeshttps://doi.org/10.23860/diss-thompson-marcella-2011openalex-snapshot
EXPOSURES TO MULTIPLE ENVIRONMENTAL CHEMICALS (LEAD, METHYLMERCURY AND POLYCHLORINATED BIPHENYLS) AMONG CHILDBEARING-AGED WOMEN IN THE U.S.
inferred← citeshttps://doi.org/10.25394/pgs.10084751.v1openalex-snapshot
Enhancing Multi-model Inference with Natural Selection
inferred← citeshttps://doi.org/10.26686/wgtn.17006392openalex-snapshot
Conservation on the Frontier: Understanding and Influencing How Cattle Production Impacts Avian Diversity in the Dry Chaco Forests of Argentina
inferred← citeshttps://doi.org/10.26686/wgtn.17006392.v1openalex-snapshot
Conservation on the Frontier: Understanding and Influencing How Cattle Production Impacts Avian Diversity in the Dry Chaco Forests of Argentina
inferred← citeshttps://doi.org/10.3389/fpubh.2021.705225openalex-snapshot
A Strategy for Field Evaluations of Exposures and Respiratory Health of Workers at Small- to Medium-Sized Coffee Facilities
inferred← citeshttps://doi.org/10.3389/fpubh.2022.878907openalex-snapshot
Determinants of Task-Based Exposures to Alpha-Diketones in Coffee Roasting and Packaging Facilities Using a Bayesian Model Averaging Approach
inferred← citeshttps://doi.org/10.5271/sjweh.3561openalex-snapshot
Prediction of objectively measured physical activity and sedentariness among blue-collar work using survey questionnaires
inferred← citeshttps://doi.org/10.5271/sjweh.3693openalex-snapshot
Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?
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