BibTex Citation Data :
@article{Medstat2523, author = {Erna Sulistio and Dwi Ispriyanti}, title = {PENERAPAN REGRESI LOGISTIK MULTINOMIAL PADA PEMILIHAN ALAT KONTRASEPSI WANITA (Studi Kasus di Desa Tonggara Kecamatan Kedungbanteng Kabupaten Tegal)}, journal = {MEDIA STATISTIKA}, volume = {3}, number = {1}, year = {2010}, keywords = {}, abstract = { The development of a growing population, causing many problems within national development, so the program necessary to reduce the population of family planning program, one of the programs is Contraceptive Services. A variety of contraceptive choices provided by the government especially for women, including: pill, injection, IUD, implant, tissue KB, tubectomy, cream, jelly, and foam. The selection of contraceptives for women have to weigh various factors. So we want to know the factors which influence women in choosing a particular contraceptive. By testing the significance of the multinomial logistic regression model through the G test statistic can be shown there are four factors that influence contraceptive use, namely maternal age, number of living children, age of last child, and pregnancy plans. Keywords : Contraception, Multinomial Logistic Regression }, issn = {2477-0647}, pages = {31--40} doi = {10.14710/medstat.3.1.31-40}, url = {https://ejournal.undip.ac.id/index.php/media_statistika/article/view/2523} }
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The development of a growing population, causing many problems within national development, so the program necessary to reduce the population of family planning program, one of the programs is Contraceptive Services. A variety of contraceptive choices provided by the government especially for women, including: pill, injection, IUD, implant, tissue KB, tubectomy, cream, jelly, and foam. The selection of contraceptives for women have to weigh various factors. So we want to know the factors which influence women in choosing a particular contraceptive. By testing the significance of the multinomial logistic regression model through the G test statistic can be shown there are four factors that influence contraceptive use, namely maternal age, number of living children, age of last child, and pregnancy plans.
Keywords: Contraception, Multinomial Logistic Regression
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