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Analyzing Epidemiological Data: Stata Commands for Survey and Factor Analysis

This guide provides essential Stata commands for epidemiologists focused on analyzing survey data and performing factor analysis. Learn how to effectively manage survey designs, account for stratification and clustering effects, and utilize commands such as `svyset` and `svy: mean` for weighted means. Explore factor analysis techniques to identify latent variables with workflows including scree plots and rotation methods. These tools and commands will enhance your capabilities in handling cohort studies, case-control studies, and related epidemiological research.

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Analyzing Epidemiological Data: Stata Commands for Survey and Factor Analysis

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  1. Stata 9, Epi tables, Survey, Factor • Tables for epidemiologists • Survey commands • Factor analysis H.S.

  2. Tables for epidemiologists • Commands • cs Cohort study with incidence proportion • ir Cohort study with incidence rate • cc Case-control • mcc Matched case-control • Example • cc diseased exposed, by(sex) Stratified MH-OR • Calculator (i=immideate) • csi 100 50 900 950 RR • iri 100 50 1000 1000 RR • cci 10 90 5 95 OR H.S.

  3. Survey commands • Purpose • A family of commands to account for survey designg effects (stratification (and clustering)) • Workflow • svyset [pweight=p1],strata(country) set probability weights and stratification • svy:mean x1 weighted mean • Regressions do not need weighting H.S.

  4. Factor analysis • Purpose • Find latent factors from a large set of variables • Workflow • factor x1 x2 x3 factor analysis • screeplot plot eigenvalues • factor x1 x2 x3, factors(3) max 3 factors • estat kmo sampling OK? • rotate varimax rotation • loadingplot 2 first factors H.S.

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