NDLI: Inferential tools in penalized logistic regression for small and sparse data: A comparative study

Content Provider	Scilit
Author	Siino, Marianna Fasola, Salvatore Muggeo, Vito
Copyright Year	2016
Related Links	http://smm.sagepub.com/content/early/2016/08/09/0962280216661213.full.pdf
Ending Page	1375
Page Count	11
Starting Page	1365
ISSN	09622802
e-ISSN	14770334
DOI	10.1177/0962280216661213
Journal	Statistical Methods in Medical Research
Issue Number	5
Volume Number	27
Language	English
Publisher	SAGE Publications
Publisher Date	2018-05-01
Access Restriction	Open
Subject Keyword	Journal: Statistical Methods in Medical Research Statistics and Probability Firth Penalized Likelihood Logistic Regression Gradient Statistic Sandwich Formula Score Statistic
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Health Information Management Epidemiology

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Inferential tools in penalized logistic regression for small and sparse data: A comparative study