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Epidemiology

Tables for epidemiologists

  • 2 x 2 and 2 x 2 stratified tables for longitudinal, cohort study, case–control, and matched case–control data
  • Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction
  • Confidence intervals for the above
  • Chi-squared, Fisher’s exact, and Mantel–Haenszel tests
  • Tests for homogeneity
  • Choice of weights for stratified tables: Mantel–Haenszel, standardized, or user specified
  • Exact McNemar test for matched case–control data
  • Tabulated odds and odds ratios
  • Score test for linear trend

Power and sample size

  • Stratified 2X2 tables (Cochraan-Mantel-Haenszel test)

  • 1:M matched case-control studies

  • Trend in JX2 tables (Cochran-Armitage test)

Standardization of rates

  • Direct standardization
  • Indirect standardization

Generalized linear models for the binomial family

  • Individual-level or grouped data
  • Odds ratios, risk ratios, health ratios, and risk differences

Table symmetry and marginal homogeneity tests

  • n x n tables where there is one-to-one matching of cases and controls
  • Asymptotic symmetry and marginal homogeneity tests
  • Exact symmetry tests
  • Transmission disequilibrium test (TDT)

Kappa measure of interrater agreement

  • Two unique raters
  • Weights for weighting disagreements
  • Nonunique raters, variables record ratings for each rater
  • Nonunique raters, variables record frequency of ratings

Two-way table of frequencies

Brier score decomposition

Pharmacokinetics

  • Pharmacokinetic measures from time-and-concentration subject-level data
  • Tests that measurement is normally distributed
  • Analysis of data from crossover design experiment
  • Tests of bioequivalence for two treatments

U.S. Food and Drug Administration (FDA) submittals

Receiver operating characteristic (ROC) analysis

ICD-10 diagnosis codes New

  • Designed for use with the World Health Organization's ICD-10 codes for morbidity and mortality reporting
  • Suite of commands lets you:
    • Verify that a variable contains valid codes and flag invalid codes
    • Standardize the format of codes
    • Easily generate new variables based on codes
      • Indicators for different conditions
      • Short descriptions from WHO's official descriptions
      • Category codes from subcategory codes
      • 4-character subcategory codes from national or specialty systems that have greater detail
  • Interactive utilities let you look up the description of a code
  • Allows you to indicate the version that was current at the time your data was collected
  • Works with a subset of your data
  • Can be used with category codes or subcategory codes

ICD-9-CM diagnostic and procedure codes Updated

  • Now allows you to work with a subset of your data New
  • Designed for use with US Centers for Medicare and Medicaid Services (CMS) ICD-9-CM codes for health encounter and claims data
  • Verify that a variable contains valid codes and flag invalid codes
  • Standardize the format of codes
  • Easily generate new variables based on codes
    • Indicators for different conditions
    • Short descriptions from CMS
    • Category codes from subcategory codes
  • Interactive utilities let you look up descriptions for codes or codes from keywords

Treatment effects

Additional resources

See New in Stata 14 for more about what was added in Stata 14.

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