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2nd Italian Stata Users Group meeting

Program materials

Day 1

To the vector belong the spoils: Circular statistics in Stata

Nicholas Cox
University of Durham, U.K.

Cox.pdf

Meta-analysis of epidemiological dose-response data

Nicola Orsini, Rino Bellocco Karolinska Institutet Sander Greenland UCLA School of Public Health

Bellocco.pdf

Stima delle Spese Zero

Martina Menon, Federico Perali
Dipartimento di Scienze Economiche, Università degli Studi di Verona
Nicola Tommasi
C.I.D.E, Università degli studi di Verona

Tommasi_infrequency.pdf

HHINEX: a new Stata code to calculate the Herfindhal–Hirschman index of market concentration

Orietta Dessy
Università degli studi di Milano

Dessy.pdf

Dynamic Factor Analysis with Stata

Alessandro Federici, Andrea Mazzitelli
Università di Roma "La Sapienza"

Federici.pdf

Data Mining in Stata

Mario Lucchini, Maurizio Pisati
Università di Milano—Bicocca

No materials available for this presentation.

Da Stata AD HTML

Nicola Tommasi
Generare con Stata un output HTML navigabile
Rosa Gini, Jacopo Pasquini
Agenzia Regionale di Sanità della Toscana

Gini_Pasquini.pdf

Estimating a dynamic labor demand equation using small, unbalanced panels: An application to Italian manufacturing sectors

Giovanni S.F. Bruno
Università Bocconi
Anna M. Falzoni
Università degli studi di Bergamo
Rodlofo Helg
LIUC—Università Carlo Cattaneo

Bruno.pdf

Does migrants' clandestineness damage potential development in the countries of origin? A study of illegal migrants in Italy

Laura Serlenga
CREST, Paris e Università degli Studi di Bari
M. C. Chiuri, N. Coniglio, G. Ferri
Università degli Studi di Bari

No materials available for this presentation.

Il Sistema Nazionale degli Incidenti in Ambiente di Civile Abitazione: analisi dei risultati della fase sperimentale

Alessio Pitidis, Guilia Viola
Istituto Superiore di Sanità

Viola_Pitidis.pdf

Commenti di chiusura

William Gould
StataCorp
Marcello Pagano
Harvard University

No materials available for this presentation.

Day 2

Corso su Mata

Abstract:
The objective of this course, which will be given by William Gould (President of StataCorp), is to provide an introduction to Stata's new matrix programming language, Mata. The emphasis will be on how Mata can be used both by programmers and non-programmers. Topics covered include:

  • Mata basics
  • Interpretive commands
  • Functions
  • Use of views onto the Stata dataset
  • Using views to solve data-management problems
  • The Mata programming language
  • The mechanics of Mata programming
  • Translation from FORTRAN into Mata
  • Use of subscripts
  • Numerical accuracy

Survival analysis in Stata

Abstract:
Survival Analysis is a field replete with jargon—censoring, truncation, hazard, etc. The key to understanding survival analysis is in decoding the jargon and applying basic statistical principles to data which arise from following subjects until death or failure. The Stata approach to survival analysis is unique in the sense that the majority of effort is devoted to "setup-oriented" tasks, i.e. data manipulation and declaration of the key duration and censoring variables to Stata via the stset command. Once the data have been set up, analysis using Stata is fairly straightforward, allowing the researcher to turn their attention to the interpretation and application of results. Analysis of survival data can take one of three forms: nonparametric analysis such as logrank tests, semiparametric Cox regression, and parametric analysis via streg As such, the topics covered in the course will include

Part I: Data Manipulation and Declaration

  • The unique aspects of duration data
  • Terminology
  • Converting other types of data to duration data
  • stset

Part II: Data Analysis

  • Nonparameteric analysis
  • Cox proportional hazards regression
  • Parametric regression
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