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Propensity scores as a novel method to guide sample allocation and minimize batch effects during the design of high throughput experiments.
Carry, Patrick M; Vigers, Tim; Vanderlinden, Lauren A; Keeter, Carson; Dong, Fran; Buckner, Teresa; Litkowski, Elizabeth; Yang, Ivana; Norris, Jill M; Kechris, Katerina.
Affiliation
  • Carry PM; Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, 12631 E. 17Th Ave, Room 4602, Mail Stop B202, Aurora, CO, 80045, USA. patrick.carry@cuanschutz.edu.
  • Vigers T; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA. patrick.carry@cuanschutz.edu.
  • Vanderlinden LA; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.
  • Keeter C; Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Dong F; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
  • Buckner T; Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA.
  • Litkowski E; Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, 12631 E. 17Th Ave, Room 4602, Mail Stop B202, Aurora, CO, 80045, USA.
  • Yang I; Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
  • Norris JM; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
  • Kechris K; Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
BMC Bioinformatics ; 24(1): 86, 2023 Mar 07.
Article in En | MEDLINE | ID: mdl-36882691
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Health Status / Propensity Score Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude / Patient_preference Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Health Status / Propensity Score Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude / Patient_preference Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom