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References from How prevalent is overfitting of regression models? A survey of recent articles in three psychology journals. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1097/00006842-200405000-00021
10.1097/00006842-200405000-00021 · External reference
10.1037/a0021524
10.1037/a0021524 · External reference
10.1038/d41586-019-01307-2
10.1038/d41586-019-01307-2 · External reference
Power failure: why small sample size undermines the reliability of neuroscience
10.1038/nrn3475 · 2013 · External reference
Power and error: increased risk of false positive results in underpowered studies
10.2174/1874297101003010016 · 2010 · External reference
Multivariable models in biobehavioral research
10.1097/psy.0b013e3181906e57 · 2009 · External reference
The statistical crisis in science: Data-dependent analysis--a" garden of forking paths"--explains why many statistically significant comparisons don't hold up
10.1511/2014.111.460 · 2014 · External reference
Unresolved reference
External reference
10.1207/s15327957pspr0203_4
10.1207/s15327957pspr0203_4 · External reference
10.1002/ejsp.2023
10.1002/ejsp.2023 · External reference
Unresolved reference
2014 · External reference
10.1126/science.aac4716
10.1126/science.aac4716 · External reference
Stepwise selection in small data sets: A simulation study of bias in logistic regression analysis
10.1016/s0895-4356(99)00103-1 · 1999 · External reference
Prognostic modeling with logistic regression analysis: In search of a sensible strategy in small data sets
10.1177/0272989x0102100106 · 2001 · External reference
10.1037/e519702015-014
10.1037/e519702015-014 · External reference
Overfitting in prediction models– Is it a problem only in high dimensions?
10.1016/j.cct.2013.06.011 · 2013 · External reference
Choosing prediction over explanation in psychology: Lessons from machine learning
10.1177/1745691617693393 · 2017 · External reference