Interpreting regression models using StataPage 9Page
Using a dataset based on the General Social Survey, Mitchell starts with a basic linear regression with a single independent variable and then illustrates how to tabulate and graph predicted values. Mitchell focuses on Stata'smarginsandmarginsplotcommands, which play a central role in the book and...
Using a dataset based on the General Social Survey, Mitchell starts with a basic linear regression with a single independent variable and then illustrates how to tabulate and graph predicted values. Mitchell focuses on Stata'smarginsandmarginsplotcommands, which play a central role in the book and...
In the presentation about finding a cutpoint for piecewise regression, ATS at UCLA presents this fine explanation:http://www.ats.ucla.edu/stat/stata/faq/nl_optimal_knots.htmMy question pertains to the estimate of the cutpoint, given as /c, in the -nl- output. The value is 8.9876 with ...
Sometimes what is most tricky about understanding your regression output is knowing exactly what your software is presenting to you. Here’s a great example of what looks like two completely different model results from SPSS and Stata that in reality, agree. The Model I ran a linear model regr...
Clarify is a program that uses Monte Carlo simulation to convert the raw output of statistical procedures into results that are of direct interest to researchers, without changing statistical assumptions or requiring new statistical models. The program, designed for use with the Stata statistics ...
Clarify is a program that uses Monte Carlo simulation to convert the raw output of statistical procedures into results that are of direct interest to researchers, without changing statistical assumptions or requiring new statistical models. The program, designed for use with the Stata statistics package...
11 LOGISTIC REGRESSION - INTERPRETING PARAMETERS 11 Logistic Regression - Interpreting Parameters Let us expand on the material in the last section, trying to make sure we understand the logistic regression model and can interpret Stata output. Consider first the case of a single binary predictor,...
Interpretazione dei tracciati residui per migliorare la regressione Tradeoff Matrice confusione e Richiamo di precisione Tabella pivot Analisi cluster Codifica R in Stats iQ Script R precomposti Analisi di Text iQ in Stats iQ Ipotesi e dettagli tecnici del test statistico Impostazioni Crea...
It is a simple logistic regression as you use to estimate in Stata or SPSS. Should I use StdYX for continous and StdY for the binary covariates even when the two types of covariates are in one and the same model? I have a strange feeling by using for some covariates the coefficients ...