glm — Generalized linear models - Stata

Syntax - Stata

2cluster kmeans and kmedians— Kmeans and kmedians cluster analysis Options Main k(#) is required and indicates that # groups are to be formed by the cluster analysis.

  Syntax

Syntax Description - Stata

2substr()— Extract substring Diagnostics In substr(s, b, l) and substr(s, b), if b describes a position before the beginning of the string or after the end, "" is returned.

  Descriptions, Stata, Syntax, Syntax description

Title stata.com generate — Create or change …

Title stata.com generate — Create or change contents of variable SyntaxMenuDescriptionOptions Remarks and examplesMethods and formulasReferencesAlso see Syntax Create new variable generate type newvar

  Change, Content, Variable, Create, Stata, Generate, Generate create or change, Generate create or change contents of variable

SyntaxDescriptionRemarks and examplesAlso see

macro— Macro definition and manipulation 3 Macro extended functions related to matrices rownamesjcolnamesjrowfullnamesjcolfullnames matname roweqjcoleq

  Syntaxdescriptionremarks and examplesalso see, Syntaxdescriptionremarks, Examplesalso

Title stata.com graph box — Box plots

graph box— Box plots 3 Menu Graphics > Box plot Syntax graph box yvars if in weight, options graph hbox yvars if in weight, options where yvars is a varlist options Description

  Plot, Box plot

Title stata

area options — Options for specifying the look of special areas 3 Also see [G-2] graph dot — Dot charts (summary statistics)

  Title, Stata, Title stata

www.stata.com

2cluster dendrogram— Dendrograms for hierarchical cluster analysis The height of the vertical lines and the range of the (dis)similarity axis give visual clues about the

Title stata.com putexcel — Export results to an Excel …

putexcel— Export results to an Excel file 3 export options Description Main overwritefmt overwrite existing cell formatting when exporting new content

  Putexcel

destring — Convert string variables to numeric ... - …

Title stata.com destring — Convert string variables to numeric variables and vice versa SyntaxMenuDescription Options for destringOptions for tostringRemarks and …

  Title, Variable, Stata, Numeric, String, Convert, Title stata, Destring convert string variables to numeric, Destring

Title stata.com gettoken — Low-level parsing

Title stata.com gettoken — Low-level parsing SyntaxDescriptionOptionsRemarks and examplesAlso see Syntax gettoken emname1 emname2: emname3, parse("pchars") quotes qed(lmacname) match(lmacname) bind

  Title, Stata, Title stata

Lecture 10: Logistical Regression II— Multinomial Data

Classical vs. Logistic Regression Data Structure: continuous vs. discrete Logistic/Probit regression is used when the dependent variable is binary or dichotomous. Different assumptions between traditional regression and logistic regression The population means of the dependent variables at each level of the independent variable are not on a

  Logistics, Probit

The FREQ Procedure - SAS

use a procedure such as CATMOD, GENMOD, GLIMMIX, LOGISTIC, PROBIT, or SURVEYLOGISTIC. See Chapter 8, “Introduction to Categorical Data Analysis Procedures,” for more information. PROC FREQ uses the Output Delivery System (ODS), a SAS subsystem that provides capabilities for displaying and controlling the output from SAS procedures.

  Corps, Logistics, Probit, Freq, Proc freq

The PSMATCH Procedure - SAS

method. For example, you can input propensity scores that have been computed by the LOGISTIC procedure using a binary probit model or by the HPSPLIT procedure using a classification tree. By default, the PSMATCH procedure uses the propensity scores to computes weights for the observations.

  Logistics, Probit

PO906: Quantitative Data Analysis and Interpretation

– Distribution: normal, logistic, poison, negative binomial • Critical points – Measurement level of the DV and IV – Expected and actual distribution of the variables ... probit/logit models for binary variables, poisson/negative binomial models for count variables etc. Discrete Random Variables

  Logistics, Quantitative, Probit

estat gof — Pearson or Hosmer–Lemeshow goodness-of …

logistic, logit, or probit and estat gof keep track of the estimation sample. If you type, for instance, logistic :::if x==1, then when you type estat gof, the statistics will be calculated on the x==1 subsample of the data automatically. You should specify if or in with estat gof only when you wish to calculate statistics for a set

  Logistics, Pearson, Goodness, Probit, Pearson or hosmer lemeshow goodness of, Hosmer, Lemeshow

Statistical Analysis With Latent Variables User’s Guide

point. For binary and ordered categorical outcomes, probit or logistic regressions models are used. For unordered categorical outcomes, multinomial logistic regression models are used. For count outcomes, Poisson and negative binomial regression models are used, with or without inflation at the zero point.

  Logistics, Probit