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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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コックス半パラメトリックとパラメトリック共有脆弱性モデルの比較:サハラ以南のアフリカの5歳未満の子供の生存率の適用
Haile Mekonnen Fenta1,2,3, Ding-Geng Chen4,5, Temesgen T Zewotir6
1Department of Statistics, University of Pretoria, Pretoria, South Africa. hailemekonnen@gmail.com.
BMC public health
|August 23, 2025
まとめ
サハラ以南のアフリカの 5歳未満の子供の死亡率は様々な要因に左右されています. 水へのアクセスの改善,クリーンな燃料,母親の年齢は 子どもの死亡率を大幅に減らす一方 農村での生活は リスクを増加させます
科学分野:
- 人口統計
- 公衆衛生
- 生存分析
背景:
- サハラ以南アフリカ (sSA) の5歳未満の子供の死亡率は依然として重大な問題です.
- 死亡率の決定因子の差異に関する研究は限られている.
- 子供の生存率は,地域によって異なる多くの既知および未知の共変数によって影響を受けます.
研究 の 目的:
- 5歳未満の子供の死亡時間と関連するリスク要因を評価する.
- 半パラメトリックとパラメトリックの脆弱性モデルのパフォーマンスを,子供の生存データを分析する上で比較する.
- 5歳未満の死亡率の重要な要因を特定する.
主な方法:
- 33カ国の人口と健康調査 (DHS) データを活用した.
- 様々な脆弱性分布を持つ半パラメトリックとパラメトリックの脆弱性モデルを使用した.
- 選択されたsSA国内の行政区間の5歳未満の生存時間をモデル化しました.
主要な成果:
- 330,373人の子どもを分析し,その6. 02%が5歳未満の死亡率を経験した.
- 国のレベルと地区レベルの大きな差異が子供の生存率に影響しました.
- 母親の年齢 (25-49歳),都市部での居住,水へのアクセス改善,クリーンな調理用燃料は死亡リスクの減少と関連していました.
結論:
- ログノーマル脆弱性分布による指数関数共有脆弱性リスクモデルは,コックスの半パラメトリックモデルを上回った.
- 特定された主なリスク要因には,居住地,富,メディアへの曝露,出生順,出生間隔,水へのアクセス,調理用燃料の種類が含まれます.
- これらの発見は,sSAにおける5歳未満の死亡率を減らすために重要な変更可能な要因を強調しています.
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