#Prediction stata pdf#
#Prediction stata install#
#Prediction stata code#

Please note that the WHO and SCORE2 CVD risk prediction algorithms were derived using cohort data and then recalibrated to relevant risk regions (21 global regions for the WHO algorithm and 4 risk regions in Europe for SCORE2 algorithm). Proglinks Provides links to other user-written stata packages that some of the programs above might utilise

#Prediction stata code#

Inplink Stata code to input plink format output text files Submat Extracts coefficient estimates and variance covariance matrix corresponding to a specified namelist of effectsР”В¬orrbeta Solves for linear regression coefficient given correlation coefficient, sample size, and SDs Xtilew Creates within group quantiles using an approach that is efficient for large datasetsР”Р‡arcalc Calculates standard errors and confidence intervals based on floating variances after fitting a regression modelР”В®stplot Flexible plotting of point estimates and pointwise CIs after modelling Score2risk Calculates SCORE2 10-year CVD risk with recalibration to relevant European risk region Whocvdrisk Calculates WHO 10-year CVD risk with recalibration to relevant country or GBD region Risk prediction algorithms (see notes below*) Predcalib Calibration of survival or failure probabilities predicted from prognostic survival models Predsurv Predicts survival and failure probabilities after a stcox model, including with staggered entry Preddstat Post-estimation assessment of model predictive ability using D statistic adapted for multiple studies Predstat Assessment of the predictive ability of a risk marker using reclassification statistics in IPD

Predsubg Assessment of subgroup effects in meta-analysis of the predictive ability of risk prediction models using C-index or D Predmeta Meta-analysis of the predictive ability of risk prediction models using C-index or D measures (post-estimation) Predaddd Meta-analysis of the predictive ability of risk prediction models using D measure in individual participant data (IPD) Predaddc Meta-analysis of the predictive ability of risk prediction models using C-index measure in individual participant data (IPD) Genusual Generates usual levels for an exposure variable and confounders Rdrcalc Calculates and plots adjusted regression dilution ratios (RDRs) over time Stsetcco Converts case-cohort design dataset into a format suitable for estimating hazard ratios using weighted Cox regression Stsetage Sets up survival-time data in a format suitable for estimating age-at-risk specific hazard ratios Phtest Implements up to 6 methods for testing proportional hazard (PH) assumption for survival data from multiple studies Mvmetai2 Calculates heterogeneity statistics after fitting a multivariate meta-analysis modelР”Р‡pshape Program for meta-analysis of non-linear exposure-outcome associations using fractional polynomials (FPs)Р”В¬heckhaz Generates plots of cumulative hazard and survival functions for multiple groups in time-to-event data Mvmetaipd Program for multivariate meta-analysis of an exposure-disease association using individual participant data (IPD) Mvshape Calculates risk ratios for exposure-disease association using user-specified categories by multivariate meta-analysis IPD Meta-analysis РІР‚вЂњ aetiological associationsР”Р„djmeta A program for large-scale meta-analysis of an exposure-disease association using individual participant data (IPD) Partcorr Calculates partial correlation coefficients, including by subgroupР”В¬scorr Fits linear mixed models using data from multiple studies to assess cross-sectional associations with responseР”В¬scorrst Generates detailed descriptive summary tables for data available for cross-sectional correlates analysis IPD Meta-analysis РІР‚вЂњ cross-sectional correlates I2ci Calculates confidence intervals for I2 and H statistics for measuring heterogeneity Riskconv Converts risk ratios measured on a specified scale to a desired scale

Summstat Generates overall or pooled within group summary statistics for a specified varlist Overlay A wrapper program that simplifies the task of overlaying twoway graphs over a third stratifying variable Р”В¬heckdis Generates plots of distribution of a list of continuous variables, optionally by a grouping variableР”В¬heckpr Generates bar charts for a list of categorical variables, optionally by a grouping variable

#Prediction stata pdf#

The РІР‚вЂњproglinksРІР‚вЂњ package also contains a second ancillary do-file that gives example stata code used to analyse the examples provided in the ERFC statistical methods paper, which can also be downloaded as pdf file from here. These should be installed for the programs to work correctly. It is also highly recommended that you also get the ancillary stata do-file provided in the РІР‚вЂњproglinksРІР‚вЂњ package that lists links to other non-official SJ and user-written programs utilised in some of the programs below.

#Prediction stata install#

The Stata programs below are available to install within a Stata session by typing: