p p2ci module to calculate confidence limits of a regression coefficient from the p-value p pairdata module to create paired datasets from individual-per-row data p pairplot module for plots of paired observations p pajek2stata module to import network data in Pajek's .net format p palette_all module to display all the named colours in Stata p panelauto module to support tests for autocorrelation on panel data p panels module to count panels and apply a command to panel units p panelthin module to identify observations for possible thinned panel dataset p panelunit module to support unit root tests on panel data p pantest2 module to perform diagnostic tests in fixed effects panel regressions p paragr module for parallel graphing of a coefficient across different equations p paran module to compute Horn's test of principal components/factors p paretofit module to fit a Type 1 Pareto distribution p parmest module to create new data set with one observation per parameter of most recent model p parmhet module to produce heterogeneity tests in parmest resultssets p parmparse module to parse a parameter name variable in a parmest resultsset p parplot module for parallel coordinates plots p partgam module to calculate partial gamma coefficient p partpred module to generate partial predictions p parttau module to calculate Kendall's partial tau and confidence interval p pascal module to draw Pascal's triangle p paverage module to calculate p-period-average series in a panel dataset p pbeta module to generate probability plot for data compared with fitted beta distribution p pcontract module to make a data set of frequencies and percentages p pcorr2 module to display partial and semipartial correlation coefficients p pcorrmat module to compute partial correlation coefficients controlled for a fixed set of covariates p pdplot module to produce Pareto dot plot p perturb module to evaluate collinearity and ill-conditioning p pescadf module to perform Pesaran's CADF panel unit root test in presence of cross section dependence p petpoisson module to estimate an Endogenous Participation Endogenous Treatment Poisson model by MSL p pexp module to produce probability plot for data compared with fitted exponential distribution p pgamma module to generate probability plot for data vs fitted gamma distribution p pgmhaz8 module to estimate discrete time (grouped data) proportional hazards models p phenotype module to simulate disease status and censored age for family data p pieplot module to plot pie charts of categorical frequencies p plotbeta module to plot linear combinations of coefficients p plotmatrix module to plot values of a matrix as different coloured blocks p plssas module to execute SAS partial least squares procedure (Windows only) p png2rtf module to include PNG graphics in RTF documents p pnrcheck module to verify the check digit in Swedish personal identification number p poisml module to estimate maximum likelihood Poisson regression models p postrcspline module containing post-estimation commands for models using a restricted cubic spline p postrri module to calculate posterior relative risks p povdeco module to calculate poverty indices with decomposition by subgroup p poverty module to calculate poverty measures p povguide module to generate the U.S. Poverty Guideline value for a given family size and year p powercal module to perform general power and sample size calculations p powerq module to calculates posterior probabilities for heterogeneity in a meta-analysis p ppplot module for P-P plots p pre module to calculate the proportional reduction in errors accomplished by an estimated model p predcalc module to calculate out-of-sample predictions for regression, logistic p predxcat module to calculate predicted means, medians, or proportions for nominal X's p predxcon module to calculate predicted means, medians, or proportions for a continuous X variable p prepar module to write code and data file needed to process variables in PARSCALE p primes module to generate prime numbers p printgph module to execute command for each matching file p probcalc module to calculate probabilities for Binomial, Poisson, and Normal Distributions p probexog-tobexog modules to test exogeneity in probit/tobit p probitiv module to perform instrumental variables probit p probitmiss module for Efficient Probit Estimation with Partially missing Covariates p prodvars module to create product variables for two lists of input variables p profhap module to construct profile likelihood confidence intervals for haplotype analysis p progres module to measure distributive effects of an income tax p propcnsreg module fitting a measurement model with causal indicators p proprcspline module for restricted cubic spline smoothing of proportions p psbayes module to perform pseudo-Bayes smoothing of cell estimates p psiduse module providing easy PSID access p psmatch2 module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing p pspline module providing a penalized spline scatterplot smoother based on linear mixed model technology p ptrend module for trend analysis for proportions p ptvtools module contining various tools for PTV analysis p punaf module to compute population attributable fractions for cohort studies p punafcc module to compute population attributable fractions for case-control and survival studies p pv module to perform estimation with plausible values p pvenn module to create proportional Venn diagram p pwcorr2 module to compute pairwise correlations and return results p pwcorrs module for enhanced correlation matrix p pwcorrw module to print wide correlation matrix with significance indicators p pwcov module to compute pairwise covariances p pweibull module to generate probability plot for data vs fitted Weibull distribution p pwploti module to plot power curve for sample size and power calculation p pyramid tutorial for population pyramids p powercal module to perform general power and sample size calculations p psmatch2 module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing