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multivariable binary logistic regression model  (STATA Corporation)

 
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    STATA Corporation multivariable binary logistic regression model
    Results of <t> multivariable </t> regression analyses examining the effect of individual level factors on fertility preference among adolescents in SSA (N = 87,950)
    Multivariable Binary Logistic Regression Model, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 99/100, based on 27944 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/multivariable binary logistic regression model/product/STATA Corporation
    Average 99 stars, based on 27944 article reviews
    multivariable binary logistic regression model - by Bioz Stars, 2026-03
    99/100 stars

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    1) Product Images from "Perceived ideal number of children among adolescent girls in sub-Saharan Africa: does exposure to family planning messages matter?"

    Article Title: Perceived ideal number of children among adolescent girls in sub-Saharan Africa: does exposure to family planning messages matter?

    Journal: BMC Women's Health

    doi: 10.1186/s12905-023-02609-4

    Results of multivariable regression analyses examining the effect of individual level factors on fertility preference among adolescents in SSA (N = 87,950)
    Figure Legend Snippet: Results of multivariable regression analyses examining the effect of individual level factors on fertility preference among adolescents in SSA (N = 87,950)

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    Results of multivariable regression analyses examining the effect of individual level factors on fertility preference among adolescents in SSA (N = 87,950)

    Journal: BMC Women's Health

    Article Title: Perceived ideal number of children among adolescent girls in sub-Saharan Africa: does exposure to family planning messages matter?

    doi: 10.1186/s12905-023-02609-4

    Figure Lengend Snippet: Results of multivariable regression analyses examining the effect of individual level factors on fertility preference among adolescents in SSA (N = 87,950)

    Article Snippet: Multivariable binary logistic regression model was fitted in Stata version 17 software to examine the association between exposure to family planning communication and fertility preference among adolescent girls in SSA.

    Techniques: