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Topic Description
Descriptive epidemiology We offer assistance in analyzing and interpreting descriptive epidemiological data, including measures of disease frequency, prevalence, incidence, and distribution.
Analytic epidemiology Our experts can help you explore and analyze associations between exposures and outcomes, employing various study designs and statistical methods to investigate causal relationships.
Epidemiologic methods We provide support in understanding and applying fundamental epidemiologic methods, including study design, sampling techniques, data collection, and data management.
Biostatistics Our services cover a wide range of biostatistical techniques used in epidemiology, such as hypothesis testing, regression analysis, survival analysis, and meta-analysis.
Spatial epidemiology We assist in analyzing geographic patterns of diseases and investigating spatial relationships using spatial statistics and geographic information systems (GIS).
Temporal epidemiology Our experts can help you analyze temporal trends and patterns of diseases over time, employing methods such as time series analysis and cyclical analysis.
Epidemiological modeling and simulation We offer support in constructing and analyzing epidemiological models to simulate disease spread, predict outcomes, and evaluate intervention strategies.
Statistical software and programming in epidemiology We provide guidance in using statistical software (e.g., R, SAS, STATA) and programming languages to analyze epidemiological data, generate visualizations, and automate data processing tasks.

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