Limited dependent variable estimation commands logit, logistic : logit model, logistic regression probit : binomial probit model tobit : one- and two-limit Tobit model cnsreg : Censored normal regression (generalized Tobit) ologit, oprobit : ordered logit and probit models mlogit : multinomial logit ...
Re: st: hierarchical logistic regression command From Richard Williams <richardwilliams.ndu@gmail.com> To statalist@hsphsun2.harvard.edu, <statalist@hsphsun2.harvard.edu> Subject Re: st: hierarchical logistic regression command Date Fri, 17 Feb 2012 08:19:01 -0500At...
Conclusions: We showed how parametric joint models can be used with the gsem command which has been the only Stata code in the literature to fit the parametric joint models, for the generalized structural equation model, and we used the PBC dataset for the detailed application of the command....
includes just the interaction of "a by b", and does not includethe main effect of a, nor the main effect of b. By contrast, the command . logistic y a##b includes the main effect of a, the main effect of b, as well asthe a by b interaction. It is equivalent to typing . log...
With the introduction of Stata's margins command, it has become incredibly simple to estimate average marginal effects (i.e., "average partial effects") and marginal effects at representative cases. Indeed, in just a few lines of Stata code, regression results for almost any kind model can be...
Customizable tables in Stata 17: One-way tables of summary Customizable tables in Stata 17: Two-way tables of summary statistics Customizable tables in Stata 17: How to create tables for a regression model Customizable tables in Stata 17: How to create tables for multiple regression models...
数组在进行批量操作不必进行for循环,称这种特性为向量化 基础索引与切片 一位数组的操作比较简单,看起来和列表类似。区别在于python的内建列表,数组的切片是原数组的视图,原地操作。所以如果只想对数组的copy切片,必须显示的复制数组(copy()函数)。 在二维数组中,每个索引对应的元素是一个一维数组 ...
With the introduction of Stata'smarginscommand, it has become incredibly simple to estimate average marginal effects (i.e., "average partial effects") and marginal effects at representative cases. Indeed, in just a few lines of Stata code, regression results for almost any kind model can be ...
Data were entered and analyzed using EpiData version 3.1 and STATA version 14. Descriptive statistics were employed to summarize the information. To investigate factors linked with outcome variables, bivariate and multivariate logistic regression analyses were conducted. The results...
Methods: We developed metapreg, a tool with advanced statistical procedures to perform a meta-analysis, network meta-analysis, and meta-regression of binomial proportions in Stata using binomial, logistic and logistic-normal models. First, we explain the rationale and concepts...