Abstract:

Objective   To put forward a large-scale longitudinal monitoring health check-up data analysis strategy. Methods   The strategy was introduced in data preprocessing, Markov Chain Monte Carlo imputation and generalized estimating equation. Association between white blood cells and metabolic syndrome was taken as an example to illustrate the application of the strategy. Results   After data preprocessing, large missing data was complemented. Using generalized estimating equation in longitudinal analysis, problems caused by ignoring interclass correlation were overcome and the time factor got controlled. Conclusion   Longitudinal monitoring large-scale health check-up data analysis strategy can make full use of information from health check-up records and greatly improve the quality of statistical analysis.

Key words:  Longitudinal monitoring; Health check-up; Statistical analysis strategy