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Tables for epidemiologists

  • 2 × 2 and 2 × 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 2×2 tables (Cochran–Mantel–Haenszel test)
  • 1:M matched case–control studies
  • Trend in J×2 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
  • Bayesian estimation New

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

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

Receiver operating characteristic (ROC) analysis

ICD-10 and ICD-9 codes Updated

  • Designed for use with
    • The US National Center for Health Statistics (NCHS) ICD-10-CM diagnosis codes for healthcare encounter and claims data New
    • The US Centers for Medicare and Medicaid Services (CMS) ICD-10-PCS procedure codes for healthcare claims data New
    • The World Health Organization’s ICD-10 codes for morbidity and mortality reporting
    • NCHS ICD-9-CM diagnosis codes for healthcare encounter and claims data
    • CMS ICD-9-CM procedure codes for healthcare claims data
  • Suite of commands lets you:
    • Easily generate new variables based on codes
      • Indicators for different conditions
      • Short descriptions
      • Category codes from billable codes
      • And more
    • Verify that a variable contains valid codes and flag invalid codes
    • Standardize the format of codes
  • Interactive utilities let you
    • Look up descriptions for codes
    • Search for codes from keywords
  • ICD-10 and ICD-10-CM/PCS commands let you indicate the version of the codes in your dataset

Treatment effects


  • 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
  • Nonlinear mixed-effects models New

Additional resources

See New in Stata 15 for more about what was added in Stata 15.





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