@article{ranganathan_common_2017,
	title = {Common pitfalls in statistical analysis: {Logistic} regression},
	volume = {8},
	issn = {22295488},
	url = {/pmc/articles/PMC5543767/?report=abstract},
	doi = {10.4103/picr.PICR_87_17},
	abstract = {Logistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dichotomous). In this article, we discuss logistic regression analysis and the limitations of this technique.},
	number = {3},
	urldate = {2020-08-12},
	journal = {Perspectives in Clinical Research},
	author = {Ranganathan, Priya and Pramesh, C. and Aggarwal, Rakesh},
	month = jul,
	year = {2017},
	pmid = {28828311},
	note = {Publisher: Medknow Publications},
	keywords = {Biostatistics, logistic models, regression analysis},
	pages = {148--151},
}

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