Abstract：
OBJECTIVE: To highlight the use of calibration weighting to improve the precision of estimates obtained from All of Us data and increase the return of value to communities from the All of Us Research Program.
METHODS: We used All of Us (2017-2022) data and raking to obtain prevalence estimates in two examples: discrimination in medical settings (N = 41 875) and food insecurity (N = 82 266). Weights were constructed using known population proportions (age, sex, race/ethnicity, region of residence, annual household income, and home ownership) from the 2020 National Health Interview Survey.
RESULTS: About 37% of adults experienced discrimination in a medical setting. About 20% of adults who had not seen a doctor reported being food insecure compared with 14% of adults who regularly saw a doctor.
CONCLUSIONS: Calibration using raking is cost-effective and may lead to more precise estimates when analyzing All of Us data.
METHODS: We used All of Us (2017-2022) data and raking to obtain prevalence estimates in two examples: discrimination in medical settings (N = 41 875) and food insecurity (N = 82 266). Weights were constructed using known population proportions (age, sex, race/ethnicity, region of residence, annual household income, and home ownership) from the 2020 National Health Interview Survey.
RESULTS: About 37% of adults experienced discrimination in a medical setting. About 20% of adults who had not seen a doctor reported being food insecure compared with 14% of adults who regularly saw a doctor.
CONCLUSIONS: Calibration using raking is cost-effective and may lead to more precise estimates when analyzing All of Us data.
摘要：
目的：强调使用校准加权来提高从“我们所有人”数据获得的估计值的精度，并增加“我们所有人研究计划”对社区的价值回报。
方法：我们使用了我们所有人（2017-2022年）的数据并在两个示例中获得了患病率估计值：医疗环境中的歧视（N=41.875）和粮食不安全（N=82.266）。使用已知的人口比例(年龄，性别,种族/民族,居住地区,家庭年收入,和房屋所有权）来自2020年全国健康访谈调查。
结果：大约37%的成年人在医疗环境中经历过歧视。大约20%没有看过医生的成年人报告说食物不安全，相比之下，14%的成年人经常看医生。
结论：使用raking进行校准具有成本效益，并且在分析所有我们的数据时可能会导致更精确的估计。
方法：我们使用了我们所有人（2017-2022年）的数据并在两个示例中获得了患病率估计值：医疗环境中的歧视（N=41.875）和粮食不安全（N=82.266）。使用已知的人口比例(年龄，性别,种族/民族,居住地区,家庭年收入,和房屋所有权）来自2020年全国健康访谈调查。
结果：大约37%的成年人在医疗环境中经历过歧视。大约20%没有看过医生的成年人报告说食物不安全，相比之下，14%的成年人经常看医生。
结论：使用raking进行校准具有成本效益，并且在分析所有我们的数据时可能会导致更精确的估计。
