PROSPR Statistical Coordinating Center (PSCC)

基于人群的研究通过个性化方案优化筛查（PROSPR）项目的成功主要依赖于一个高素质和忠诚的PROSPR统计协调中心（PSCC）来协调PROSPR研究中心（prc）的研究，以实现PROSPR评估和改进癌症筛查过程（招募，筛查，诊断和转诊治疗）的使命。该PSCC申请来自于Fred Hutchinson癌症研究中心（FHCRC）和华盛顿大学（UW）的一组研究人员，他们在统计、数据和协调中心管理方面拥有丰富的经验，并专注于乳腺癌、结肠癌和宫颈癌的筛查，建立在三个大型nci资助的协调中心的基础设施和专业知识之上。早期检测研究网络（EDRN），乳腺癌监测联盟（BCSC），以及能量学与癌症跨学科研究联盟（TREC）。PSCC的总体目标是：1)为普洛斯会议提供后勤支持，并通过一个安全的普洛斯门户网站和一个专门的运营团队加强沟通和合作；2)提供科学，临床和统计方面的领导，通过三个器官特定的PSCC工作组，在统计学，临床和流行病学方面拥有广泛的专业知识，以增强prosper的科学活力和生产力；3)提供研究设计、数据收集和数据管理专业知识，以便适当汇集来自中国各地的研究数据，并通过一个在开发新的统计方法和设计和分析筛选研究数据方面具有丰富经验的统计团队，领导跨网络跨器官的研究；4)为中华人民共和国提供统计咨询，并为汇总prosper研究和跨网络研究提供主导数据分析；5)作为科学界的资源，通过普洛斯公共门户网站传播和推广普洛斯数据和发现。

The success of the Population-based Research Optimizing Screening through Personalized Regimens (PROSPR) program critically relies on a highly talented and committed PROSPR Statistical Coordinating Center (PSCC) to coordinate the research of PROSPR Research Centers (PRCs) to achieve PROSPR's mission of evaluating and improving the cancer screening process (recruitment, screening, diagnosis, and referral for treatment). This PSCC application is from a team of investigators with extensive experience in statistics, data and coordinating center management, and research focused on the screening of breast, colon, and cervical cancers at the Fred Hutchinson Cancer Research (FHCRC) and University of Washington (UW), built upon the infrastructure and expertises from three large NCI-funded coordinating centers over multiple funding cycles: the Early Detection Research Network (EDRN), Breast Cancer Surveillance Consortium (BCSC), and the Transdisciplinary Research on Energetics and Cancer (TREC) Consortium. The overall objectives of the PSCC are to be accomplished by 1) Providing logistic support for PROSPR meetings and enhance communications and collaborations via a secure PROSPR web portal and a dedicated operations team; 2) Providing scientific, clinical, and statistical leadership to enhance PROSPR's scientific vigor and productivity via three organ specific PSCC working groups with the extensive expertise in statistics, clinics, and epidemiology; 3) Providing study design, data collection, and data management expertise to enable appropriate pooling of data from studies across PRCs and to lead trans-network cross organ site studies via a statistical team with extensive experience in developing new statistical methodology and in designing and analyzing data for screening studies; 4) Providing statistical consultations for PRCs and lead data analyses for pooled PROSPR studies and trans-network studies; and 5) Serving as a resource to the scientific community for dissemination and outreach of PROSPR data and findings via a PROSPR public portal.