Backward binary logistic regression with gender coded (0 = female, 1 = male), with variables associated <i>p</i> < .10 entered as predictors.

Backward binary logistic regression with gender coded (0 = female, 1 = male), with variables associated p < .10 entered as predictors.

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Identity

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PID https://www.doi.org/10.1371/journal.pone.0167365.t004
URL https://figshare.com/articles/Backward_binary_logistic_regression_with_gender_coded_0_female_1_male_with_variables_associated_i_p_i_10_entered_as_predictors_/4279427
URL http://dx.doi.org/10.1371/journal.pone.0167365.t004
Access Modality

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Access Right Open Access
Attribution

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Author de Mattos, Cristiana Nicoli
Author Kim, Hyoun S.
Author Requião, Marinalva G.
Author Marasaldi, Renata F.
Author Filomensky, Tatiana Z.
Author C. Hodgins, David
Author Tavares, Hermano
Publishing

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Collected From figshare
Hosted By figshare
Publication Date 2016-01-01
Publisher Figshare
Additional Info
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Language UNKNOWN
Resource Type Dataset
keyword S ão Paulo
system:type dataset
Management Info
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=r37980778c78::eb7441e035fc76716e8fee46a27336f6
Author jsonws_user
Last Updated 3 January 2021, 18:23 (CET)
Created 3 January 2021, 18:23 (CET)