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        <identifier>oai:figshare.com:article/23723442</identifier>
        <datestamp>2023-08-22T12:17:11Z</datestamp>
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          <dc:title>Survival analysis to study recidivism, right-censored lung cancer data</dc:title>
          <dc:creator>Iketle Maharela (16629417)</dc:creator>
          <dc:subject>Biostatistics</dc:subject>
          <dc:subject>Lung cancer</dc:subject>
          <dc:subject>Survival analysis</dc:subject>
          <dc:subject>Recidivism</dc:subject>
          <dc:subject>Accelerated failure time models</dc:subject>
          <dc:subject>Right censored survival data</dc:subject>
          <dc:subject>Cox proportional hazard regressions</dc:subject>
          <dc:subject>SDG 3 Good health and well-being</dc:subject>
          <dc:description>&lt;p&gt;Both datasets can be found in the survival R package. They are right-censored. The Rossi dataset contains 432 male inmates from Maryland state prisons (Berk, Lenihan &amp; Rossi, 1980). The prisoners were followed for one year. Those not re-arrested during this follow-up period were censored at week 52. At the end of the study, 318 prisoners were right censored. Thus, the censoring rate for this data is 26.39%. Meanwhile, the veteran dataset consists of death for 137 male patients with advanced lung cancer; 9 individuals were censored. Thus, the censoring rate is 6.57%.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;</dc:description>
          <dc:date>2023-08-17T14:11:23Z</dc:date>
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          <dc:identifier>10.25403/UPresearchdata.23723442.v2</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Survival_analysis_and_right-censored_lung_cancer_data_to_study_recidivism/23723442</dc:relation>
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