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Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach

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Published in:Recent Advances in Natural Sciences
Format: Online Article RSS Article
Published: 2025
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container_title Recent Advances in Natural Sciences
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discipline_display African Open Access — Natural Sciences
discipline_facet African Open Access — Natural Sciences
format Online Article
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spellingShingle Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
sub_discipline_display General
sub_discipline_facet General
subject_display African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
subject_facet African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
title Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_auth Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_full Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_fullStr Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_full_unstemmed Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_short Zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in Zimbabwe: A bootstrap resampling validation approach
title_sort zero-inflated and hurdle models with an application to the number of involved axillary lymph nodes in patients with breast cancer in zimbabwe: a bootstrap resampling validation approach
topic African Open Access — Natural Sciences
General
African Open Access — Natural Sciences
url https://flayoophl.com/journals/index.php/rans/article/view/137