Model uncertainty, data mining and statistical inference

Cited by (1,000)

Items 101–200 of 1,000

1. A strategy for modelling the effect of a continuous covariate in medicine and epidemiology.
   P. Royston · 2000 · Statistics in Medicine
2. Should We Adjust for Covariates in Nonlinear Regression Analyses of Randomized Trials?
   Walter W. Hauck, Sharon Anderson, Sue M. Marcus · 1998 · Controlled Clinical Trials
3. Why P Values Are Not a Useful Measure of Evidence in Statistical Significance Testing
   Raymond Hubbard, R. Lindsay · 2008 · Theory & Psychology
4. Exploring Uncertainty in Cost-Effectiveness Analysis
   Karl Claxton · 2008 · PharmacoEconomics
5. Species Distribution Modeling in the Tropics: Problems, Potentialities, and the Role of Biological Data for Effective Species Conservation
   Luis Cayuela, Duncan Golicher, Adrian C. Newton, Mélanie Kolb, Fábio Suzart de Albuquerque, Eric J. M. M. Arets, Rob Alkemade, A. M. Pérez · 2009 · Tropical Conservation Science
6. Statistical Themes and Lessons for Data Mining
   Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth · 1997 · Data Mining and Knowledge Discovery
7. A neural network ensemble method with jittered training data for time series forecasting
   Zhang, G. Peter · 2007 · Information Sciences
8. Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities
   Aki Vehtari, Jouko Lampinen · 2002 · Neural Computation
9. Combined Data, Bayesian Phylogenetics, and the Origin of the New Zealand Cicada Genera
   Thomas R. Buckley, Peter Arensburger, Chris Simon, Geoffrey Keith Chambers · 2002 · Systematic Biology
10. Physiological responses of a Southern Ocean diatom to complex future ocean conditions
    Philip W. Boyd, Peter W. Dillingham, Christina M. McGraw, Edward A. Armstrong, Christopher Edward Cornwall, Yuanyuan Feng, Catriona L. Hurd, Melanie Gault‐Ringold, Michael Y. Roleda, Emma Timmins‐Schiffman et al. · 2015 · Nature Climate Change
11. Improving the Quality of Distribution Models for Conservation by Addressing Shortcomings in the Field Collection of Training Data
    Ian P. Vaughan, Steve J. Ormerod · 2003 · Conservation Biology
12. Characterizing Structural Uncertainty in Decision Analytic Models: A Review and Application of Methods
    Laura Bojke, Karl Claxton, Mark John Sculpher, Stephen Palmer · 2009 · Value in Health
13. Habitat selection by yellowhammers Emberiza citrinella on lowland farmland at two spatial scales: implications for conservation management
    Mark J. Whittingham, Ruth D. Swetnam, Jeremy D. Wilson, Dan Chamberlain, Robert P. Freckleton · 2005 · Journal of Applied Ecology
14. Computer Modeling of Diabetes and Its Complications
    The Mount Hood 4 Modeling Group · 2007 · Diabetes Care
15. Colony Size and Diet Composition of Piscivorous Waterbirds on the Lower Columbia River: Implications for Losses of Juvenile Salmonids to Avian Predation
    Ken Collis, Daniel D. Roby, David P. Craig, Stephanie Adamany, Jessica Y. Adkins, Donald E. Lyons · 2002 · Transactions of the American Fisheries Society
16. Penalized maximum likelihood estimation to directly adjust diagnostic and prognostic prediction models for overoptimism: a clinical example
    Karel G.M. Moons, A. Rogier T. Donders, Ewout Willem Steyerberg, Frank E. Harrell · 2004 · Journal of Clinical Epidemiology
17. Predicting venous thromboembolism in multiple myeloma: development and validation of the IMPEDE VTE score
    Kristen Marie Sanfilippo, Suhong Luo, Tzu‐Fei Wang, Mark Aaron Fiala, Martin William Schoen, Tanya Marya Wildes, Joseph R Mikhael, Nicole M. Kuderer, David C. Calverley, Jesse Keller et al. · 2019 · American Journal of Hematology
18. Modeling Anuran Detection and Site Occupancy on North American Amphibian Monitoring Program (NAAMP) Routes in Maryland
    Linda A. Weir, Jeffrey Andrew Royle, Priya Nanjappa, Robin E. Jung · 2005 · Journal of Herpetology
19. Parameter identifiability, constraint, and equifinality in data assimilation with ecosystem models
    Yiqi Luo, Ensheng Weng, Xiaowen Wu, Chao Gao, Xuhui Zhou, Li Zhang · 2009 · Ecological Applications
20. The Impact of Empirical Accuracy Studies on Time Series Analysis and Forecasting
    Fildes, Robert, Makridakis, Spyros · 1995 · International Statistical Review / Revue Internationale de Statistique
21. Using information theory as a substitute for stepwise regression in ecology and behavior
    Gergely Hegyi, László Zsolt Garamszegi · 2010 · Behavioral Ecology and Sociobiology
22. Advances in Forecast Evaluation
    Todd E. Clark, Michael W. McCracken · 2013 · Handbook of economic forecasting
23. On the usefulness of overparameterized ecological models
    Peter Reichert, Martin Omlin · 1997 · Ecological Modelling
24. Poor performance of clinical prediction models: the harm of commonly applied methods
    Ewout Willem Steyerberg, Hajime Uno, John P. A. Ioannidis, Ben VAN CALSTER, Chinedu I. Ukaegbu, Tara G. Dhingra, Sapna Syngal, Fay Kastrinos · 2017 · Journal of Clinical Epidemiology
25. Model Uncertainty in Sociological Research: An Application to Religion and Economic Growth
    Cristobal Young · 2009 · American Sociological Review
26. A review of applications of model–data fusion to studies of terrestrial carbon fluxes at different scales
    Ying‐Ping Wang, Cathy M. Trudinger, Ian Graham Enting · 2009 · Agricultural and Forest Meteorology
27. Model uncertainty and forecast accuracy
    Chris Chatfield · 1996 · Journal of Forecasting
28. On the validation of models of forest CO2 exchange using eddy covariance data: some perils and pitfalls
    Belinda E. Medlyn, Andrew P. Robinson, Robert Clement, R. E. McMurtrie · 2005 · Tree Physiology
29. Big Data in Industrial-Organizational Psychology and Human Resource Management: Forward Progress for Organizational Research and Practice
    Frederick Louis Oswald, Tara S. Behrend, Dan J. Putka, Evan F. Sinar · 2019 · Annual Review of Organizational Psychology and Organizational Behavior
30. A metabolome pipeline: from concept to data to knowledge
    Marie Brown, Warwick B. Dunn, David I. Ellis, Royston Goodacre, Julia Handl, Joshua D. Knowles, Steve O’Hagan, ‪Irena Spasić, Douglas Bruce Kell · 2005 · Metabolomics
31. Avoiding Pitfalls in Neural Network Research
    Gongbo Zhang · 2006 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)
32. A discussion of parameter and model uncertainty in insurance
    Andrew J. G. Cairns · 2000 · Insurance Mathematics and Economics
33. Effects of sample survey design on the accuracy of classification tree models in species distribution models
    Thomas C. Edwards, D. Richard Cutler, Niklaus E. Zimmermann, Linda H. Geiser, Gretchen G. Moisen · 2006 · Ecological Modelling
34. Traceable components of terrestrial carbon storage capacity in biogeochemical models
    Jianyang Xia, Yiqi Luo, Ying‐Ping Wang, Oleksandra Hararuk · 2013 · Global Change Biology
35. Torturing data for the sake of generality: How valid are our regression models?
    Julian D. Olden, Donald A. Jackson · 2000 · Ecoscience
36. On the Undecidability Among Kinetic Models: From Model Selection to Model Averaging
    Federico Turkheimer, Rainer Hinz, Vincent J. Cunningham · 2003 · Journal of Cerebral Blood Flow & Metabolism
37. Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective
    Annette B.G. Janssen, George B. Arhonditsis, Arthur H. W. Beusen, Karsten Bolding, Louise C. Bruce, Jorn Bruggeman, Raoul‐Marie Couture, Andrea S. Downing, J. Alex Elliott, Marieke A. Frassl et al. · 2015 · Aquatic Ecology
38. Factors Influencing Soay Sheep Survival
    Edward Arthur Catchpole, Byron J. T. Morgan, Tim N Coulson, Stephen N. Freeman, Steve D. Albon · 2000 · Journal of the Royal Statistical Society Series C (Applied Statistics)
39. The Offender Group Reconviction Scale: A Statistical Reconviction Score for use by Probation Officers
    J. B. Copas, Peter Marshall · 1998 · Journal of the Royal Statistical Society Series C (Applied Statistics)
40. Issues in information theory-based statistical inference—a commentary from a frequentist’s perspective
    Roger Mundry · 2010 · Behavioral Ecology and Sociobiology
41. Predictive modelling and spatial mapping of freshwater fish and decapod assemblages using GIS and neural networks
    Michael Joy, Russell George Death · 2004 · Freshwater Biology
42. Understanding the sources of variation in software inspections
    Adam Porter, Harvey P. Siy, Audris Mockus, Lawrence G. Votta · 1998 · ACM Transactions on Software Engineering and Methodology
43. Hotspots of plant invasion predicted by propagule pressure and ecosystem characteristics
    Jane A. Catford, Peter Anton Vesk, Matt D. White, Brendan Anthony Wintle · 2011 · Diversity and Distributions
44. On the harm that ignoring pretesting can cause
    Dmitri L. Danilov, Jan R. Magnus · 2003 · Journal of Econometrics
45. The northern Yellowstone elk: density dependence and climatic conditions
    Taper, Mark L., Gogan, Peter J. P. · 2002 · The Journal of Wildlife Management
46. Quantifying uncertainty in the potential distribution of an invasive species: climate and the Argentine ant
    Stephen Hartley, Richard J. Harris, Philip John Lester · 2006 · Ecology Letters
47. Predictive Failure and Econometric Modelling in Macroeconomics: The Transactions Demand for Money
    David Forbes Hendry · 2000
48. Tree and spline based association analysis of gene–gene interaction models for ischemic stroke
    Nancy R. Cook, Robert Y.L. Zee, Paul M. Ridker · 2004 · Statistics in Medicine
49. Evaluating Automatic Model Selection
    Jennifer L. Castle, Jurgen A. Doornik, David Forbes Hendry · 2011 · Journal of Time Series Econometrics
50. Comparison of Bayesian model averaging and stepwise methods for model selection in logistic regression
    Duolao Wang, Wenyang Zhang, Ameet Bakhai · 2004 · Statistics in Medicine
51. Dynamic Specification
    David Forbes Hendry, A. R. Pagan, John Denis Sargan · 2000
52. Stability Investigations of Multivariable Regression Models Derived from Low- and High-Dimensional Data
    Willi Sauerbrei, Anne‐Laure Boulesteix, Harald Binder · 2011 · Journal of Biopharmaceutical Statistics
53. Predicting the graft survival for heart–lung transplantation patients: An integrated data mining methodology
    Asil Oztekin, Dursun Delen, Zhenyu Kong · 2009 · International Journal of Medical Informatics
54. The role of conviction and narrative in decision-making under radical uncertainty
    David Tuckett, Milena Nikolic · 2017 · Theory & Psychology
55. Is maximizing protection the same as minimizing loss? Efficiency and retention as alternative measures of the effectiveness of proposed reserves
    Robert L. Pressey, Matthew Watts, Thomas W. Barrett · 2004 · Ecology Letters
56. Application of Shrinkage Techniques in Logistic Regression Analysis: A Case Study
    Steyerberg, E. W., Eijkemans, M. J. C., Habbema, J. D. F. · 2001 · Statistica Neerlandica
57. Chapter 1 Bayesian Forecasting
    John F Geweke, Charles H. Whiteman · 2006 · Handbook of economic forecasting
58. Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications
    Yiqi Luo, Zheng Shi, Xingjie Lu, Jianyang Xia, Junyi Liang, Jiang Jiang, Ying Wang, Matthew J. Smith, Lifen Jiang, Anders Ahlström et al. · 2017 · Biogeosciences
59. Stability of multivariable fractional polynomial models with selection of variables and transformations: a bootstrap investigation
    Patrick J Royston, Willi Sauerbrei · 2003 · Statistics in Medicine
60. Comparing models for predicting species’ potential distributions: a case study using correlative and mechanistic predictive modelling techniques
    Mark P. Robertson, Craig I. Peter, Martin Herrer Villet, Brad S. Ripley · 2003 · Ecological Modelling
61. Clinical trials in acute myocardial infarction: Should we adjust for baseline characteristics?
    Ewout Willem Steyerberg, Patrick M. Bossuyt, Kerry L. Lee · 2000 · American Heart Journal
62. Sensitivities of crop models to extreme weather conditions during flowering period demonstrated for maize and winter wheat in Austria
    J. Eitzinger, S. Thaler, E. Schmid, F. Strauss, R. Ferrise, M. Moriondo, M. Bindi, T. Palosuo, R. Rötter, K. Kersebaum et al. · 2012 · Journal of Agricultural Sciences
63. Revisiting the Determinants of Entrepreneurship
    Kerim Peren Arin, Victor Zengyu Huang, Maria Minniti, Anup Menon Nandialath, Otto F. M. Reich · 2014 · Journal of Management
64. Evaluating a New Marker’s Predictive Contribution
    Michael W. Kattan · 2004 · Clinical Cancer Research
65. Markov Chain Monte Carlo Methods for Fitting Spatiotemporal Stochastic Models in Plant Epidemiology
    Gavin J. Gibson · 1997 · Journal of the Royal Statistical Society Series C (Applied Statistics)
66. Standardizing fishery-dependent catch and effort data in complex fisheries with technology change
    Janet Bishop · 2006 · Reviews in Fish Biology and Fisheries
67. The Effects of Nucleotide Substitution Model Assumptions on Estimates of Nonparametric Bootstrap Support
    Thomas R. Buckley, Cliff Cunningham · 2002 · Molecular Biology and Evolution
68. Making robust decisions for conservation with restricted money and knowledge
    Eve McDonald‐Madden, P. W. J. Baxter, Hugh Philip Possingham · 2008 · Journal of Applied Ecology
69. Why has China Grown So Fast? The Role of Physical and Human Capital Formation*
    Sai Ding, John B. Knight · 2010 · Oxford Bulletin of Economics and Statistics
70. Feature subset selection bias for classification learning
    Surendra K. Singhi, Huan Liu · 2006 · International Conference on Machine Learning
71. Combining exponential smoothing forecasts using Akaike weights
    Stephan Kolassa · 2010 · International Journal of Forecasting
72. Developing multiple hypotheses in behavioral ecology
    Ned A. Dochtermann, Stephen H. Jenkins · 2010 · Behavioral Ecology and Sociobiology
73. Using acoustic indices in ecology: Guidance on study design, analyses and interpretation
    Bradfer‐Lawrence, Tom, Desjonqueres, Camille, Eldridge, Alice, Johnston, Alison, Metcalf, Oliver · 2023 · Methods in Ecology and Evolution
74. Can out‐of‐sample forecast comparisons help prevent overfitting?
    Todd E. Clark · 2004 · Journal of Forecasting
75. A vulnerability analysis of the temperate forests of south central Chile
    Kerrie Ann Wilson, Adrian C. Newton, Cristián Echeverría, Christopher J. Weston, Mark A. Burgman · 2004 · Biological Conservation
76. Distributions of forecasting errors of forecast combinations: Implications for inventory management
    Devon K. Barrow, Nikolaos Kourentzes · 2016 · International Journal of Production Economics
77. Model selection and model averaging after multiple imputation
    Michael Schomaker, Christian Heumann · 2013 · Computational Statistics & Data Analysis
78. Global and National Macroeconometric Modelling
    Anthony Garratt, Kevin C. Lee, M. Hashem Pesaran, Yongcheol Shin · 2006
79. Parametric modelling of cost data in medical studies
    Richard Nixon, S. Thompson · 2004 · Statistics in Medicine
80. An Empirical Application and Monte Carlo Analysis of Tests of Dynamic Specification
    David Forbes Hendry, Grayham E. Mizon · 2000
81. Dose finding—a challenge in statistics.
    Bretz, Frank, Hsu, Jason, Pinheiro, José, Liu, Yi · 2008 · Biometrical Journal
82. A descriptive review of variable selection methods in four epidemiologic journals: there is still room for improvement
    Denis Charles Talbot, Victoria Kubuta Massamba · 2019 · European Journal of Epidemiology
83. The role of data assimilation in predictive ecology
    Shuli Niu, Yiqi Luo, Michael C. Dietze, Trevor F. Keenan, Zheng Shi, Jianwei Li, F. Stuart Chapin · 2014 · Ecosphere
84. Short-Term Forecasting of Emergency Inpatient Flow
    Gad Abraham, Graham B Byrnes, Christopher Bain · 2009 · IEEE Transactions on Information Technology in Biomedicine
85. Active adaptive conservation of threatened species in the face of uncertainty
    Eve McDonald‐Madden, William J. M. Probert, Cindy E. Hauser, Michael C. Runge, Hugh Philip Possingham, Menna E. Jones, Joslin L. Moore, Tracy M. Rout, Peter Anton Vesk, Brendan Anthony Wintle · 2010 · Ecological Applications
86. Prediction uncertainty of environmental change effects on temperate European biodiversity
    Carsten F. Dormann, Oliver Schweiger, Paul F. P. Arens, Isabel Augenstein, S. Aviron, Debra Bailey, Jonas Baudry, Regula Billeter, R.J.F. Bugter, Roman Bukáček et al. · 2007 · Ecology Letters
87. General strategies for the analysis of ringing data
    David R. Anderson, Kenneth P. Burnham · 1999 · Bird Study
88. Sensitivity and Specificity should be De-emphasized in Diagnostic Accuracy Studies
    Karel G.M. Moons, Frank E. Harrell · 2003 · Academic Radiology
89. Sampling Designs for Validating Digital Soil Maps: A Review
    Asim Biswas, Yakun Zhang · 2018 · Pedosphere
90. Guest editorial: The role of sensitivity analysis in the corroboration of models and itslink to model structural and parametric uncertainty
    Andrea Saltelli, M. Scott · 1997 · Reliability Engineering & System Safety
91. MMI: Multimodel inference or models with management implications?
    John Fieberg, Douglas H. Johnson · 2015 · Journal of Wildlife Management
92. Bayesian Methodology for Model Uncertainty Using Model Performance Data
    Enrique López Droguett, Ali Mosleh · 2008 · Risk Analysis
93. Discrimination of the variety and region of origin of extra virgin olive oils using 13C NMR and multivariate calibration with variable reduction
    Adrian D. Shaw, Angela di Camillo, Giovanna Vlahov, Alun Jones, Giorgio Bianchi, Jem J. Rowland, Douglas Bruce Kell · 1997 · Analytica Chimica Acta
94. COMPLEX POPULATION DYNAMICS IN THE REAL WORLD: MODELING THE INFLUENCE OF TIME-VARYING PARAMETERS AND TIME LAGS
    Zheng Zeng, Robert M. Nowierski, Mark L. Taper, Brian Dennis, William P. Kemp · 1998 · Ecology
95. Key steps and common pitfalls in developing and validating risk models
    Laure Wynants, Professor Gary S. Collins, Ben VAN CALSTER · 2016 · BJOG An International Journal of Obstetrics & Gynaecology
96. Genomic Computing. Explanatory Analysis of Plant Expression Profiling Data Using Machine Learning
    Douglas Bruce Kell, Robert Darby, John Draper · 2001 · PLANT PHYSIOLOGY
97. Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science
    Christopher Tong · 2019 · The American Statistician
98. The Zeroth Problem
    Colin L. Mallows · 1998 · The American Statistician
99. Selecting the right statistical model for analysis of insect count data by using information theoretic measures
    Gudeta Weldesemayat Sileshi · 2006 · Bulletin of Entomological Research
100. Editorial: Model Selection and Efficiency—is ‘Which Model …?’ the Right Question?
     Nicholas T. Longford · 2005 · Journal of the Royal Statistical Society Series A (Statistics in Society)