Statistical Software Components
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- METAMISS: Stata module to perform meta-analysis with missing data

- Ian White and Julian Higgins
- METAN: Stata module for fixed and random effects meta-analysis

- David Fisher, Ross Harris, Mike Bradburn, Jon Deeks, Roger Harbord, Doug Altman, Thomas Steichen, Jonathan Sterne and Julian Higgins
- METANDI: Stata module to perform meta-analysis of diagnostic accuracy

- Roger Harbord
- METANINF: Stata module to evaluate influence of a single study in meta-analysis estimation

- Thomas Steichen
- METAPOW: Stata module for simulation based sample size calculations for designing new clinical trials and diagnostic test accuracy studies to update an existing meta-analysis

- Michael J. Crowther and Sally R. Hinchliffe
- METAPRED: Stata module producing outlier and influence diagnostics for meta-analysis

- Ariel Linden
- METAPREG: Stata module to compute fixed and random effects meta-analysis and meta-regression of proportions

- Victoria Nyaga
- METAPROP: Stata module to perform fixed and random effects meta-analysis of proportions

- Victoria Nyaga, Marc Arbyn and Marc Aerts
- METAPROP_ONE: Stata module to perform fixed and random effects meta-analysis of proportions

- Victoria Nyaga, Marc Arbyn and Marc Aerts
- METAREG: Stata module to perform meta-analysis regression

- Roger Harbord and Julian Higgins
- METASTRONG: Stata module for estimating the proportion of true effect sizes above or below a threshold in random-effects meta-analysis

- Ariel Linden
- METATEF: Stata module to perform IPD meta analysis of an interaction between treatment and a continuous covariate

- Patrick Royston
- METATREND: Stata module to implement regression methods for detecting trends in cumulative meta-analysis

- Pantelis Bagos
- METATRIM: Stata module to perform nonparametric analysis of publication bias

- Thomas Steichen
- MFCURVE: Stata module for plotting results from multifactorial research designs

- Daniel Krähmer
- MFELOGIT: Stata module to estimate marginal effects (AME) and average treatment effects (ATE) in fixed effect logit models

- Laurent Davezies, Xavier D'Haultfoeuille, Christophe Gaillac and Louise Laage
- MFILEGR: Stata module to view and save multiple graphs with filenames based on a numeric identifier

- Philip Ryan
- MFPI: Stata module for modelling and displaying interactions

- Patrick Royston
- MFPIGEN: Stata module for modelling and displaying interactions between continuous predictors

- Patrick Royston
- MFPMI: Stata module to build multivariable fractional polynomial models in multiply imputed data

- Tim Morris and Patrick Royston
- MFX2: Stata module to enhance mfx command for obtaining marginal effects or elasticities after estimation

- Richard Williams
- MGBE: Stata module to compute Multimodel Generalized Beta Estimator

- Yutong Duan and Paul von Hippel
- MGEN: Stata module to apply generate to a matrix

- Ben Jann
- MGOF: Stata module to perform goodness-of-fit tests for multinomial data

- Ben Jann
- MHEGY: RATS procedure to implement the monthly version of the "HEGY" tests

- Tom Doan
- MHTEXP: Stata module to perform multiple hypothesis testing correction procedure

- Joseph Seidel and Yang Xu
- MHTREG: Stata module for multiple hypothesis testing controlling for FWER

- Andreas Steinmayr
- MI_IMPUTE_FROM: Stata module to impute using an external imputation model

- Robert Thiesmeier, Matteo Bottai and Nicola Orsini
- MI_IMPUTE_WLOGIT: Stata module to perform weighted multiple imputation for binary/categorical variables

- Tra My Pham
- MI_MVNCAT: Stata module to assign "final" values to (mvn) imputed categorical variables

- Daniel Klein
- MI_TWOWAY: Stata module for computing scores on questionnaires containing missing item responses

- Jean-François Hamel
- MIBMI: Stata module for cleaning and multiple imputation algorithm for body mass index (BMI) in longitudinal datasets

- Evangelos Kontopantelis
- MICT: Stata module to provide Multiple imputation for Categorical Time-series

- Brendan Halpin
- MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies

- Ben Dwamena
- MIESIZE: Stata module to estimate effect sizes from multiply imputed data

- Paul A Tiffin
- MIF2DTA: Stata module convert MapInfo Interchange Format boundary files to Stata boundary files

- Maurizio Pisati
- MIINC: Stata module to conduct multi-model inference using information criteria

- Joseph Luchman
- MILDEVGOALS: HTML routine to display Millenium Development Goals indicators

- Jochen Jesinghaus
- MIM: Stata module to analyse and manipulate multiply imputed datasets

- John C. Galati, Patrick Royston and John B. Carlin
- MIMIX: Stata module to perform reference based multiple imputation for sensitivity analysis of longitudinal clinical trials with protocol deviation

- Suzie Cro
- MIMPT: Stata module to impute missing values and persist in case of non-convergence

- Daniel Klein
- MIMRGNS: Stata module to run margins after mi estimate

- Daniel Klein
- MIMSTACK: Stata module to stack multiply-imputed datasets into format required by mim

- John C. Galati, Patrick Royston and John B. Carlin
- MINAP: Stata module to calculate minimum average partial correlation for principal components

- Stephen Soldz
- MINIMAX: RATS module to estimate a minimax regression

- Eric Blankmeyer
- MINMSE: Stata module to create balanced groups for treatment in experiments with one or several treatment arms

- Sebastian Schneider
- MINT: Stata module to examine across-groups equivalence of confirmatory factor analysis (CFA) measurement model parameters

- Mehmet Mehmetoglu
- MIPARALLEL: Stata module to perform parallel estimation for multiple imputed datasets

- Timothy Mak
- MIPOLATE: Stata module to interpolate values

- Nicholas Cox
- MIRA: Stata module to compute Rubin's measure for multiple imputation regression analysis

- Rodrigo Alfaro