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e-Learning - UNIMIB
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Percorso della pagina
  1. Post-Laurea
  2. Scuola di Dottorato di Ricerca
  3. Didattica Corsi di Dottorato
  4. Public Health Epidemiology, Statistics and Economics
  5. A.A. 2023-2024
  6. First Year
  1. Survival Analysis Methods for Clinical Research
  2. Introduzione
Insegnamento Titolo del corso
Survival Analysis Methods for Clinical Research
Codice identificativo del corso
2324-1-129R001-BIO.21
Descrizione del corso SYLLABUS

Syllabus del corso

  • Italiano ‎(it)‎
  • English ‎(en)‎
Esporta

Titolo

Survival Analysis Methods for Clinical Research

Docente(i)

Laura Antolini

Lingua

English

Breve descrizione

-Main Topics

  • Review of basics in probability calculus: conditional probability, joint probability, total probability rule, product rule
  • Definition of survival time variabile and related time functions: incidence probability, survival probability, hazard rate
  • Features of survival data: censoring, truncation, competing risks, end-point definitions
  • Nonparametric estimation of time functions including competing risks
  • Nonparametric tests for the comparison of time functions including competing risks
  • Power and sample size calculation
  • Fully parametric regression model
  • Semi-parametric regression model

Assessment method: Written exam in Lab in Monza

CFU / Ore

2 / 8 + 8

Periodo di erogazione

  • standard classes: 18 19 20 26 March, 8 April from 11 to 13, Room 2 Building Kytos Monza (Vedano al Lambro)
  • elearning classes: 15 February 10-13, 21 March 2024 10-13 individual study and Quiz
Esporta

Title

Survival Analysis Methods for Clinical Research

Teacher(s)

Laura Antolini

Language

English

Short description

-Main Topics

  • Review of basics in probability calculus: conditional probability, joint probability, total probability rule, product rule
  • Definition of survival time variabile and related time functions: incidence probability, survival probability, hazard rate
  • Features of survival data: censoring, truncation, competing risks, end-point definitions
  • Nonparametric estimation of time functions including competing risks
  • Nonparametric tests for the comparison of time functions including competing risks
  • Power and sample size calculation
  • Fully parametric regression model
  • Semi-parametric regression model

Assessment method: Written exam in Lab in Monza

CFU / Hours

2 / 8 + 8

Teaching period

  • standard classes: 18 19 20 26 March, 8 April from 11 to 13, Room 2 Building Kytos Monza (Vedano al Lambro)
  • elearning classes: 15 February 10-13, 21 March 2024 10-13 individual study and Quiz
Entra

Scheda del corso

Settore disciplinare
MED/01
CFU
1
Periodo
Annualità Singola
Tipo di attività
Obbligatorio
Ore
8

Staff

    Docente

  • LA
    Laura Antolini

Metodi di iscrizione

Iscrizione manuale
Sanità Pubblica (CdL 78R)

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