1. Intraclass correlation estimates for cancer screening outcomes: estimates and applications in the design of group-randomized cancer screening studies.
- Author
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Hade EM, Murray DM, Pennell ML, Rhoda D, Paskett ED, Champion VL, Crabtree BF, Dietrich A, Dignan MB, Farmer M, Fenton JJ, Flocke S, Hiatt RA, Hudson SV, Mitchell M, Monahan P, Shariff-Marco S, Slone SL, Stange K, Stewart SL, and Strickland PA
- Subjects
- Aged, Aged, 80 and over, Breast Neoplasms diagnosis, Colorectal Neoplasms diagnosis, Data Collection, Endoscopy, Gastrointestinal statistics & numerical data, Female, Humans, Male, Mammography statistics & numerical data, Mass Screening organization & administration, Middle Aged, Occult Blood, Prostate-Specific Antigen blood, Prostatic Neoplasms diagnosis, Research Design, Sample Size, Uterine Cervical Neoplasms epidemiology, Vaginal Smears statistics & numerical data, Analysis of Variance, Early Detection of Cancer statistics & numerical data, Mass Screening standards, Outcome Assessment, Health Care statistics & numerical data, Randomized Controlled Trials as Topic statistics & numerical data, Uterine Cervical Neoplasms diagnosis
- Abstract
Background: Screening has become one of our best tools for early detection and prevention of cancer. The group-randomized trial is the most rigorous experimental design for evaluating multilevel interventions. However, identifying the proper sample size for a group-randomized trial requires reliable estimates of intraclass correlation (ICC) for screening outcomes, which are not available to researchers. We present crude and adjusted ICC estimates for cancer screening outcomes for various levels of aggregation (physician, clinic, and county) and provide an example of how these ICC estimates may be used in the design of a future trial., Methods: Investigators working in the area of cancer screening were contacted and asked to provide crude and adjusted ICC estimates using the analysis of variance method estimator., Results: Of the 29 investigators identified, estimates were obtained from 10 investigators who had relevant data. ICC estimates were calculated from 13 different studies, with more than half of the studies collecting information on colorectal screening. In the majority of cases, ICC estimates could be adjusted for age, education, and other demographic characteristics, leading to a reduction in the ICC. ICC estimates varied considerably by cancer site and level of aggregation of the groups., Conclusions: Previously, only two articles had published ICCs for cancer screening outcomes. We have complied more than 130 crude and adjusted ICC estimates covering breast, cervical, colon, and prostate screening and have detailed them by level of aggregation, screening measure, and study characteristics. We have also demonstrated their use in planning a future trial and the need for the evaluation of the proposed interval estimator for binary outcomes under conditions typically seen in GRTs.
- Published
- 2010
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