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Statistical Methods and Inference
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on regularization and variable selection methods, particularly in the context of high-dimensional data analysis. It covers topics such as Lasso, model selection, sparse models, covariance estimation, survival analysis, random forests, and Bayesian methods.
97
Works
IDs:OpenAlex
How has Statistical Methods and Inference's publication output changed over time?
ScholarIQpublication output · 1979–2015
Output grew100% over the shown period — from 1 works in 1979 to 2 in 2015.
1
1
1
2
2
1
1
3
1
2
1979198419941996199820062008201220132015
What are the most-cited papers on Statistical Methods and Inference?
ScholarIQmost cited works
Regression modelling strategies for improved prognostic prediction
Frank E. Harrell, Kerry L. Lee, Robert M. Califf, David B. Pryor, Robert A. Rosati
S55189604. 19841,845 Citations
Youden Index and Optimal Cut‐Point Estimated from Observations Affected by a Lower Limit of Detection
Marcus D. Ruopp, Neil J. Perkins, Brian W. Whitcomb, Enrique F. Schisterman
S126457381. 20081,314 CitationsOPEN ACCESS
Robust anisotropic diffusion
Michael J. Black, Guillermo Sapiro, David H. Marimont, David J. Heeger
S4210173141. 19981,296 Citations
Where is Statistical Methods and Inference research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
S14500993752,325
S551896041,845
S1721807181,681
S1264573811,314
S42101731411,296
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Statistical Methods and Inference is open access?
ScholarIQopen access share
40%OPEN ACCESS
Gold
7%
Green
27%
Hybrid
0%
Bronze
7%
Closed
60%
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MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORS
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Regression Modeling Strategies
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