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        <datestamp>2026-09-13T15:12:54Z</datestamp>
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          <dc:title>Supporting materials for factors associated with prolonged pediatric intensive care unit stay: a retrospective cohort study using LASSO-assisted logistic regression</dc:title>
          <dc:creator>Xinxia Yu (24858553)</dc:creator>
          <dc:creator>Qing Zhou (52712)</dc:creator>
          <dc:creator>Xiangwei Chen (18122199)</dc:creator>
          <dc:creator>Caixing Tang (10973530)</dc:creator>
          <dc:creator>Jianfei Zhang (204016)</dc:creator>
          <dc:creator>Mengqi Duan (11407946)</dc:creator>
          <dc:subject>Paediatrics not elsewhere classified</dc:subject>
          <dc:subject>Intensive care</dc:subject>
          <dc:subject>Applied statistics</dc:subject>
          <dc:subject>Pediatric Intensive Care Unit Patient</dc:subject>
          <dc:subject>lasso regression methods</dc:subject>
          <dc:subject>PICU outcomes</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This record contains non-participant-level supporting materials for a single-center retrospective cohort study of 356 pediatric intensive care unit admissions. The study examined admission characteristics and early-care factors associated with a PICU length of stay of at least 5 days using LASSO-assisted logistic regression. The deposit includes the study protocol, statistical analysis plan, variable-level data dictionary, de-identified analysis code, a header-only input template, and aggregate model results. No individual-level pediatric clinical data or row-level design matrices are included. Access to a de-identified minimum individual-level dataset is subject to review by the Medical Ethics Committee of the Third Affiliated Hospital of Sun Yat-sen University and execution of an institutional data-use agreement.&lt;/p&gt;</dc:description>
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