Abstract. We introduce the Stata (and R) packagerdmulti, which includes three commands (rdmc,rdmcplot,rdms) for analyzing Regression Discontinuity (RD) designs withmultiple cutoffs or multiple scores. The commandrdmcapplies to non-cummulative and cummulative multi-cutoffRD settings. It calculates ...
With Stata's recently developed commands for structural equation modeling, researchers can integrate CTA with data preparation, likelihood ratio tests for model fit, and the estimation of model parameters in a single statistical software package. 展开 关键词: confirmatory tetrad analysis Stata tetrad ...
Data Analysis Using Stata does not merely discuss Stata commands but demon-strates all the steps of data analysis on practical examples.The examples are related to public issues,such as income differences between men and women,and elections,or to personal issues,such as rent and living ...
Fast Stata commands for large datasets statafactormergecollapsedata-manipulationmataegen UpdatedAug 21, 2023 Stata gvegayon/parallel Sponsor Star117 Code Issues Pull requests PARALLEL: Stata module for parallel computing bootstrapsimulationhpcparallelstataparallelization ...
Many users include the commands to start and stop the logging in the do-file itself:version 18.0 log using myjob3, replace * a sample analysis job use censusbegin myjob3.dotabulate region// obtain summary statisticssummarize marriage_rate divorce_rate median_age if state!="Nevada"log ...
Stata commands are listed and executed in a do file. It’s a quick and easy way to avoid typing commands into the Stata command box. You can simply replicate your results, re-run your analysis with revisions and elaborations, or rerun it after fixing errors by putting commands for a given...
and regression coefficients. It then covers variance estimation methods implemented in Stata’s survey estimation commands. The course will also cover strata with a single sampling unit, certainty sampling units, subpopulation estimation, and poststratification. Interactive Stata sessions are dispersed betwee...
Finally, CEM is computationally very efficient even for large data sets. 除了降低处理组和对照组之间的不平衡之外,CEM还具有许多其他有优越性。首先,CEM符合一致性原则,即数据空间和分析空间应该相同。不符合这一原则的方法通常会产生奇怪或违反直觉的结果。满足该原则的方法允许研究者利用他们对数据的实质性知识来...
S456962 RRREG: Stata module to estimate linear probability model for randomized response data byBen Jann S456961 CI_MARG_MU: Stata module to produce simulation-based confidence intervals after gllapred bySophia Rabe-Hesketh S456960 INEQRBD: Stata module to calculate regression-based inequality decomp...
for examining characteristics of the resulting haplotypes is HaploView (Barrett, et al. 2005). I will present a set of Stata commands for exporting genotype data from Stata into PHASE, importing the resulting haplotypes back into Stata for association analysis, and exporting the haplotype data from...