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The Statistical Analysis of Doubly Truncated Data : With Applications in R

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Τίτλος: The Statistical Analysis of Doubly Truncated Data : With Applications in R
Περιγραφή: A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.
Συγγραφείς: Jacobo de Uña-Álvarez, Rosa M. Crujeiras, Prof Carla Moreira
Resource Type: eBook.
Θέματα: R (Computer program language), Statistics, Biometry--Methods, Statistics--Computer programs, Programming languages (Electronic computers)
Categories: MEDICAL / Biostatistics
Βάση Δεδομένων: eBook Index
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PubType: eBook
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  Data: The Statistical Analysis of Doubly Truncated Data : With Applications in R
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  Data: A thorough treatment of the statistical methods used to analyze doubly truncated data In The Statistical Analysis of Doubly Truncated Data, an expert team of statisticians delivers an up-to-date review of existing methods used to deal with randomly truncated data, with a focus on the challenging problem of random double truncation. The authors comprehensively introduce doubly truncated data before moving on to discussions of the latest developments in the field. The book offers readers examples with R code along with real data from astronomy, engineering, and the biomedical sciences to illustrate and highlight the methods described within. Linear regression models for doubly truncated responses are provided and the influence of the bandwidth in the performance of kernel-type estimators, as well as guidelines for the selection of the smoothing parameter, are explored. Fully nonparametric and semiparametric estimators are explored and illustrated with real data. R code for reproducing the data examples is also provided. The book also offers: A thorough introduction to the existing methods that deal with randomly truncated data Comprehensive explorations of linear regression models for doubly truncated responses Practical discussions of the influence of bandwidth in the performance of kernel-type estimators and guidelines for the selection of the smoothing parameter In-depth examinations of nonparametric and semiparametric estimators Perfect for statistical professionals with some background in mathematical statistics, biostatisticians, and mathematicians with an interest in survival analysis and epidemiology, The Statistical Analysis of Doubly Truncated Data is also an invaluable addition to the libraries of biomedical scientists and practitioners, as well as postgraduate students studying survival analysis.
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      – Code: 570.15195
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
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      – SubjectFull: R (Computer program language)
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Biometry--Methods
        Type: general
      – SubjectFull: Statistics--Computer programs
        Type: general
      – SubjectFull: Programming languages (Electronic computers)
        Type: general
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      – TitleFull: The Statistical Analysis of Doubly Truncated Data : With Applications in R
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            NameFull: Jacobo de Uña-Álvarez
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            NameFull: Rosa M. Crujeiras
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            NameFull: Prof Carla Moreira
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            NameFull: Jacobo de Uña-Álvarez
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            NameFull: Rosa M. Crujeiras
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            NameFull: Prof Carla Moreira
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 12
              M: 04
              Type: profile
              Y: 2022
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            – Type: isbn-print
              Value: 9781119951377
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              Value: 9781119500476
            – Type: isbn-electronic
              Value: 9781119500483
          Titles:
            – TitleFull: The Statistical Analysis of Doubly Truncated Data : With Applications in R
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