• Linear regression

    regression  â€¢  censored outcomes  â€¢  endogenous regressors  â€¢  bootstrap, jackknife, and robust and cluster–robust variance  â€¢  instrumental variables  â€¢  three-stage least squares  â€¢  constraints  â€¢  quantile regression  â€¢  GLS  â€¢  more

  • Panel / Longitudinal

    random and fixed effects with robust standard errors  â€¢  linear mixed models  â€¢  random-effects probit  â€¢  GEE  â€¢  random- and fixed-effects Poisson  â€¢  dynamic panel-data models  â€¢  instrumental variables  â€¢  panel unit-root tests  â€¢  more 

  • Time series

    ARIMA  â€¢  ARFIMA  â€¢  ARCH/GARCH  â€¢  VAR  â€¢  VECM  â€¢  multivariate GARCH  â€¢  unobserved-components model  â€¢  dynamic factors  â€¢  state-space models  â€¢  Markov-switching models  â€¢  business calendars  â€¢  tests for structural breaks  â€¢  threshold regression  â€¢  forecasts  â€¢  impulse–response functions  â€¢  unit-root tests  â€¢  filters and smoothers  â€¢  rolling and recursive estimation  â€¢  more

  • Data management

    data transformations  â€¢  match-merge  â€¢  import/export data  â€¢  ODBC  â€¢  SQL  â€¢  Unicode  â€¢  by-group processing  â€¢  append files  â€¢  sort  â€¢  row–column transposition  â€¢  labeling  â€¢  save results â€¢  more

  • Survival analysis

    Kaplan–Meier and Nelson–Aalen estimators,  â€¢  Cox regression (frailty)  â€¢  parametric models (frailty, random effects)  â€¢  competing risks  â€¢  hazards  â€¢  time-varying covariates  â€¢  left-, right-, and interval-censoring  â€¢  Weibull, exponential, and Gompertz models  â€¢  more

  • Graphics

    lines  â€¢  bars  â€¢  areas  â€¢  ranges  â€¢  contours  â€¢  confidence intervals  â€¢  interaction plots  â€¢  survival plots  â€¢  publication quality  â€¢  customise anything  â€¢  Graph Editor  â€¢  more

  • Graphical user interface

    menus and dialogs for all features  â€¢  Data Editor  â€¢  Variables Manager  â€¢  Graph Editor  â€¢  Project Manager  â€¢  Do-file Editor  â€¢  Clipboard Preview Tool  â€¢  multiple preference sets  â€¢  more

  • Multi-level mixed effects models

    continuous, binary, count, and survival outcomes  â€¢  two-, three-, and higher-level models  â€¢  generalized linear models  â€¢  nonlinear models  â€¢  random intercepts  â€¢  random slopes  â€¢  crossed random effects  â€¢  BLUPs of effects and fitted values  â€¢  hierarchical models  â€¢  residual error structures  â€¢  DDF adjustments  â€¢  support for survey data  â€¢  more

  • Bayesian analysis

    thousands of built-in models  â€¢  univariate and multivariate models  â€¢  linear and nonlinear models  â€¢  multilevel models  â€¢  continuous, binary, ordinal, and count outcomes  â€¢  bayes: prefix for 45 estimation commands  â€¢  continuous univariate, multivariate, and discrete priors  â€¢  add your own models  â€¢  convergence diagnostics  â€¢  posterior summaries  â€¢  hypothesis testing  â€¢  model comparison  â€¢  more

  • Documentation

    27 manuals  â€¢  14,000+ pages  â€¢  seamless navigation  â€¢  thousands of worked examples  â€¢  quick starts  â€¢  methods and formulas  â€¢  references  â€¢  more

  • Basic statistics

    summaries  â€¢  cross-tabulations  â€¢  correlations  â€¢  z and ttests  â€¢  equality-of-variance tests  â€¢  tests of proportions  â€¢  confidence intervals  â€¢  factor variables  â€¢  more

  • Binary count and limited outcomes

    logistic, probit, tobit  â€¢  Poisson and negative binomial  â€¢  conditional, multinomial, nested, ordered, rank-ordered, and stereotype logistic  â€¢  multinomial probit  â€¢  zero-inflated and left-truncated count models  â€¢  selection models  â€¢  marginal effects  â€¢  more

  • Power and sample size

    power  â€¢  sample size  â€¢  effect size  â€¢  minimum detectable effect  â€¢  means  â€¢  proportions  â€¢  variances  â€¢  correlations  â€¢  ANOVA  â€¢  regression  â€¢  cluster randomized designs  â€¢  case–control studies  â€¢  cohort studies  â€¢  contingency tables  â€¢  survival analysis  â€¢  balanced or unbalanced designs  â€¢  results in tables or graphs  â€¢  more

  • Extended regression models

    combine endogenous covariates â€¢  sample selection â€¢  nonrandom treatment in models for continuous, interval-censored, binary, and ordinal outcomes  â€¢  more

  • Non-parametric methods

    nonparametric regression  â€¢  Wilcoxon–Mann–Whitney, Wilcoxon signed ranks, and Kruskal–Wallis tests  â€¢  Spearman and Kendall correlations  â€¢  Kolmogorov–Smirnov tests  â€¢  exact binomial CIs  â€¢  survival data  â€¢  ROC analysis  â€¢  smoothing  â€¢  bootstrapping  â€¢  more

  • Generalised linear models (GLM)

    ten link functions  â€¢  user-defined links  â€¢  seven distributions  â€¢  ML and IRLS estimation  â€¢  nine variance estimators  â€¢  seven residuals  â€¢  more

  • Treatment effects / Causal inference

    inverse probability weight (IPW)  â€¢  doubly robust methods  â€¢  propensity-score matching  â€¢  regression adjustment  â€¢  covariate matching  â€¢  multilevel treatments  â€¢  endogenous treatments  â€¢  average treatment effects (ATEs)  â€¢  ATEs on the treated (ATETs)  â€¢  potential-outcome means (POMs)  â€¢  continuous, binary, count, fractional, and survival outcomes  â€¢  more

  • Epidemiology

    standardization of rates  â€¢  case–control  â€¢  cohort  â€¢  matched case–control  â€¢  Mantel–Haenszel  â€¢  pharmacokinetics  â€¢  ROC analysis  â€¢  ICD-10  â€¢  more

  • Finite mixture models

    fmm: prefix for 17 estimators  â€¢  mixtures of a single estimator  â€¢  mixtures combining multiple estimators or distributions  â€¢  continuous, binary, count, ordinal, categorical, censored, truncated, and survival outcomes   â€¢  more

  • Structural Equation Modelling (SEM)

    graphical path diagram builder  â€¢  standardized and unstandardized estimates  â€¢  modification indices  â€¢  direct and indirect effects  â€¢  continuous, binary, count, ordinal, and survival outcomes  â€¢  multilevel models  â€¢  random slopes and intercepts  â€¢  factor scores, empirical Bayes, and other predictions  â€¢  groups and tests of invariance  â€¢  goodness of fit  â€¢  handles MAR data by FIML  â€¢  correlated data  â€¢  survey data  â€¢  more

  • Other statistical methods

    kappa measure of interrater agreement  â€¢  Cronbach's alpha  â€¢  stepwise regression  â€¢  tests of normality  â€¢  more

  • Functions

    statistical  â€¢  random-number  â€¢  mathematical  â€¢  string  â€¢  date and time  â€¢  more

  • ANOVA / MANOVA

    balanced and unbalanced designs  â€¢  factorial, nested, and mixed designs  â€¢  repeated measures  â€¢  marginal means  â€¢  contrasts  â€¢  more

  • Latent class analysis

    binary, ordinal, continuous, count, categorical, fractional, and survival items  â€¢  add covariates to model class membership  â€¢  combine with SEM path models  â€¢  expected class proportions  â€¢  goodness of fit  â€¢  predictions of class membership  â€¢  more

  • Internet enabled

    ability to install new commands  â€¢  web updating  â€¢  web file sharing  â€¢  latest Stata news  â€¢  more

  • Exact statistics

    exact logistic and Poisson regression  â€¢  exact case–control statistics  â€¢  binomial tests  â€¢  Fisher’s exact test for r Ã— c tables  â€¢  more 

  • Mata - Stata's serious programming language

    interactive sessions  â€¢  large-scale development projects  â€¢  optimization  â€¢  matrix inversions  â€¢  decompositions  â€¢  eigenvalues and eigenvectors  â€¢  LAPACK engine  â€¢  real and complex numbers  â€¢  string matrices  â€¢  interface to Stata datasets and matrices  â€¢  numerical derivatives  â€¢  object-oriented programming  â€¢  more

  • Linearised DSGE models

    specify models algebraically  â€¢  solve models  â€¢  estimate parameters  â€¢  identification diagnostics  â€¢  policy and transition matrices  â€¢  IRFs  â€¢  dynamic forecasts  â€¢  more

  • Multiple imputation

    nine univariate imputation methods  â€¢  multivariate normal imputation  â€¢  chained equations  â€¢  explore pattern of missingness  â€¢  manage imputed datasets  â€¢  fit model and pool results  â€¢  transform parameters  â€¢  joint tests of parameter estimates  â€¢  predictions  â€¢  more

  • Programming features

    adding new commands  â€¢  command scripting  â€¢  object-oriented programming  â€¢  menu and dialog-box programming  â€¢  dynamic documents  â€¢  Markdown  â€¢  Project Manager  â€¢  plugins  â€¢  more

  • Tests, predictions and effects

    Wald tests  â€¢  LR tests  â€¢  linear and nonlinear combinations  â€¢  predictions and generalized predictions  â€¢  marginal means  â€¢  least-squares means  â€¢  adjusted means  â€¢  marginal and partial effects  â€¢  forecast models  â€¢  Hausman tests  â€¢  more

  • Survey methods

    multistage designs  â€¢  bootstrap, BRR, jackknife, linearized, and SDR variance estimation  â€¢  poststratification  â€¢  DEFF  â€¢  predictive margins  â€¢  means, proportions, ratios, totals  â€¢  summary tables  â€¢  almost all estimators supported  â€¢  more

  • Community-contributed commands

    community-contributed commands  â€¢  meta-analysis â€¢  data management â€¢  survival â€¢  econometrics  â€¢  more

  • Contrasts, pairwise comparisons, margins

    compare means, intercepts, or slopes  â€¢  compare with reference category, adjacent category, grand mean, etc.  â€¢  orthogonal polynomials  â€¢  multiple-comparison adjustments  â€¢  graph estimated means and contrasts  â€¢  interaction plots  â€¢  more

  • Cluster analysis

    hierarchical clustering  â€¢  kmeans and kmedian nonhierarchical clustering  â€¢  dendrograms  â€¢  stopping rules  â€¢  user-extensible analyses  â€¢  more

  • Simple maximum likelihood

    specify likelihood using simple expressions  â€¢  no programming required  â€¢  survey data  â€¢  standard, robust, bootstrap, and jackknife SEs  â€¢  matrix estimators  â€¢  more

  • Item response theory

    binary (1PL, 2PL, 3PL), ordinal, and categorical response models  â€¢  item characteristic curves  â€¢  test characteristic curves  â€¢  item information functions  â€¢  test information functions  â€¢  differential item functioning (DIF)  â€¢  more

  • Programmable maximum likelihood

    user-specified functions  â€¢  NR, DFP, BFGS, BHHH  â€¢  OIM, OPG, robust, bootstrap, and jackknife SEs  â€¢  Wald tests  â€¢  survey data  â€¢  numeric or analytic derivatives  â€¢  more

  • Multivariate methods

    factor analysis  â€¢  principal components  â€¢  discriminant analysis  â€¢  rotation  â€¢  multidimensional scaling  â€¢  Procrustean analysis  â€¢  correspondence analysis  â€¢  biplots  â€¢  dendrograms  â€¢  user-extensible analyses  â€¢  more

  • Resampling and simulation methods

    bootstrap  â€¢  jackknife  â€¢  Monte Carlo simulation  â€¢  permutation tests  â€¢  more

  • Installation qualification

    IQ report for regulatory agencies such as the FDA  â€¢  installation verification  â€¢  more

  • Accessibility

    Section 508 compliance â€¢  accessibility for persons with disabilities â€¢  more

New Zealand

+64 9 889 2231

sales@surveydesign.co.nz

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SDAS New Zealand

ABN 37 051 831 826

PO Box 5044

LYNEHAM ACT 2602

AUSTRALIA

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