teffects psmatch — Propensity-score matching

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

Introduction to Regression Models for Panel Data Analysis ...

Oct 07, 2011 · using cross-sectional data collected at fixed periods of time generally use dummy variables for each time period in a two-way specification with fixed-effects for time. Are the data up to the demands of the analysis? Panel analysis is data-intensive. Are two waves enough? Can you perform the necessary specification tests?

  Using, Data, Panels, Regression, Panel data

Building a Propensity Score Model with SAS/STAT® …

Propensity score matching is an intuitive approach that is often used in estimating causal effects from observational ... possible to obtain unbiased estimates of a treatment’s causal effect by using methods that properly adjust for the confounders X. For more information about the definition of causal effects in a potential outcome ...

  Using, Methods, Score, Propensity, Propensity score, Using methods

165-29: Performing a 1:N Case-Control Match on Propensity ...

The propensity score would then be the predicted probability of receiving the treatment. Propensity scores are being used in observational studies to reduce bias. Three commonly used techniques are subclassification on the propensity score, regression adjustment using the propensity score, and case-control matching on the propensity score.

  Using, Control, Score, Case, Propensity, Propensity score, Case control

Why Propensity Scores Should Not Be Used for Matching

Rubin,1984), and some uses of the propensity score within other methods (e.g. Diamond and Sekhon,2012; Imai and Ratkovic,2014). Moreover, the mathematical theorems in the literature used to justify propensity scores in general, such as in Paul R. Rosenbaum and Rubin (1983), are of course correct and useful elsewhere, but we show they are not

  Methods, Score, Propensity, Propensity score

Recommending What Video to Watch Next: A Multitask …

resorting to random experiments to get the propensity score [41]. To evaluate our proposed ranking system, we design and con-duct ofine and live to verify 2the of: 1) multitask learning, and 2) removing a common type of selection bias, namely, position bias. Comparing with state-of …

  What, Next, Watch, Score, Video, Recommending, Propensity, Propensity score, Multitask, Recommending what video to watch next, A multitask