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	1	Learning diagnostic signatures from microarray data using L1-regularized logistic regression Nandy, Preetam. - Darmstadt : Universitäts- und Landesbibliothek, 2024
	2	Welch’s t test is more sensitive to real world violations of distributional assumptions than student’s t test but logistic regression is more robust than either Enthalten in Statistical papers 4.3.2024: 1-9
	3	Developing and microsimulating demographic dynamics for an integrated urban model: a comparison between logistic regression and machine learning techniques Enthalten in Transportation 24.2.2024: 1-35
	4	Inference for logistic regression with covariates subject to limit of detection and measurement error Enthalten in Metron 19.2.2024: 1-22
	5	Robust functional logistic regression Enthalten in Advances in data analysis and classification 12.2.2024: 1-25
	6	Logistic regression models for elastic shape of curves based on tangent representations Enthalten in Han gug tong gye hag hoe: Journal of the Korean Statistical Society 12.1.2024: 1-19
	7	A Bayesian Aoristic Logistic Regression to Model Spatio-Temporal Crime Risk Under the Presence of Interval-Censored Event Times Enthalten in Journal of quantitative criminology 11.1.2024: 1-24
	8	A powerful tool for future pandemics? München : GRIN Verlag, 2023, 1. Auflage
	9	Individual Scores for Associative Learning in a Differential Appetitive Olfactory Paradigm Using Binary Logistic Regression Analysis Borstel, Kim J.. - Leipzig : Universitätsbibliothek Leipzig, 2023
	10	Using logistic regression models to investigate the effects of high-sensitivity cardiac troponin T confounders on ruling in acute myocardial infarction Enthalten in Clinical chemistry and laboratory medicine Bd. 61, 2023, Nr. 7: 1335-1342. 08 S.

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