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  • 1
    Online Resource
    Online Resource
    A Multifaceted Sensitivity Analysis of the Slovenian Public Opinion Survey Data
    Oxford University Press (OUP) ; 2009
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 58, No. 2 ( 2009-05-01), p. 171-196
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 58, No. 2 ( 2009-05-01), p. 171-196
    Abstract: Many models to analyse incomplete data have been developed that allow the missing data to be missing not at random. Awareness has grown that such models are based on unverifiable assumptions, in the sense that they rest on the (incomplete) data only in part, but that inferences nevertheless depend on what the model predicts about the unobserved data, given the observed data. This explains why, nowadays, considerable work is being devoted to assess how sensitive models for incomplete data are to the particular model chosen, a family of models chosen and the effect of (a group of) influential subjects. For each of these categories, several proposals have been formulated, studied theoretically and/or by simulations, and applied to sets of data. It is, however, uncommon to explore various sensitivity analysis avenues simultaneously. We apply a collection of such tools, some after extension, to incomplete counts arising from cross-classified binary data from the so-called Slovenian public opinion survey. Thus for the first time bringing together a variety of sensitivity analysis tools on the same set of data, we can sketch a comprehensive sensitivity analysis picture. We show that missingness at random estimates of the proportion voting in favour of independence are insensitive to the precise choice of missingness at random model and close to the actual plebiscite results, whereas the missingness not at random models that are furthest from the plebiscite results are vulnerable to the influence of outlying cases. Our approach helps to illustrate the value of comprehensive sensitivity analysis. Ideas are formulated on the methodology’s use beyond the data analysis that we consider.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/j.1467-9876.2009.00647.x
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2009
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    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 2
    Online Resource
    Online Resource
    Corrigendum: A Multifaceted Sensitivity Analysis of the Slovenian Public Opinion Survey Data
    Oxford University Press (OUP) ; 2009
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 58, No. 4 ( 2009-09-01), p. 575-576
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 58, No. 4 ( 2009-09-01), p. 575-576
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/j.1467-9876.2009.675.x
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2009
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 3
    Online Resource
    Online Resource
    Linear Mixed Models in Practice: A SAS-Oriented Approach
    JSTOR ; 1998
    In:  Journal of the American Statistical Association Vol. 93, No. 443 ( 1998-09), p. 1240-
    Details
    In: Journal of the American Statistical Association, JSTOR, Vol. 93, No. 443 ( 1998-09), p. 1240-
    Type of Medium: Online Resource
    ISSN: 0162-1459
    URL: Article
    DOI: 10.2307/2669875
    RVK:
    QA 10000
    RVK:
    SA 2455
    Language: Unknown
    Publisher: JSTOR
    Publication Date: 1998
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 4
    Online Resource
    Online Resource
    Linear Mixed Models in Practice: A SAS-Oriented Approach (Lecture Notes in Statistics 126)
    JSTOR ; 1999
    In:  Technometrics Vol. 41, No. 1 ( 1999-02), p. 79-
    Details
    In: Technometrics, JSTOR, Vol. 41, No. 1 ( 1999-02), p. 79-
    Type of Medium: Online Resource
    ISSN: 0040-1706
    URL: Article
    DOI: 10.2307/1271007
    RVK:
    SA 8300
    Language: Unknown
    Publisher: JSTOR
    Publication Date: 1999
    detail.hit.zdb_id: 204242-3
    detail.hit.zdb_id: 1465861-6
    detail.hit.zdb_id: 2427675-3
    SSG: 11
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  • 5
    Online Resource
    Online Resource
    Mechanism for Missing Data Incorporated in Joint Modelling of Ordinal Responses
    Oxford University Press (OUP) ; 2017
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 66, No. 5 ( 2017-11-01), p. 1049-1064
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 66, No. 5 ( 2017-11-01), p. 1049-1064
    Abstract: We analyse the problem of two clinically inseparable, repeatedly measured responses of ordinal type by also incorporating their missingness process. In our application these are the therapeutic effect and extent of side effects of fluvoxamine. In the case of a composite end point, the scientific questions addressed can be answered only when the responses are modelled jointly. As an extension of the methodology, several missingness not at random models were fitted to a set of observed data and shown to yield approximately the same result as their missingness at random counterparts, although it affects precision. In addition, the effect of various identifying restrictions on multiple imputation is investigated. An alternative numerical approximation method is suggested to reduce computational time.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/rssc.12201
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2017
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 6
    Online Resource
    Online Resource
    Validation of Surrogate end Points in Multiple Randomized Clinical Trials with Failure Time end Points
    Oxford University Press (OUP) ; 2001
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 50, No. 4 ( 2001-12-01), p. 405-422
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 50, No. 4 ( 2001-12-01), p. 405-422
    Abstract: Before a surrogate end point can replace a final (true) end point in the evaluation of an experimental treatment, it must be formally ‘validated’. The validation will typically require large numbers of observations. It is therefore useful to consider situations in which data are available from several randomized experiments. For two normally distributed end points Buyse and co-workers suggested a new definition of validity in terms of the quality of both trial level and individual level associations between the surrogate and true end points. This paper extends this approach to the important case of two failure time end points, using bivariate survival modelling. The method is illustrated by using two actual sets of data from cancer clinical trials.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/1467-9876.00244
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2001
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 7
    Online Resource
    Online Resource
    Estimating Stellar-Oscillation-Related Parameters and Their Uncertainties with the Moment Method
    Oxford University Press (OUP) ; 2005
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 54, No. 2 ( 2005-04-01), p. 333-348
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 54, No. 2 ( 2005-04-01), p. 333-348
    Abstract: The moment method is a well-known astronomical mode identification technique in asteroseismology which uses a time series of the first three moments of a spectral line to estimate the discrete oscillation mode parameters l and m. The method, in contrast with many other mode identification techniques, also provides estimates of other important continuous parameters such as the inclination angle α and the rotational velocity ve. We developed a statistical formalism for the moment method based on so-called generalized estimating equations. This formalism allows an estimation of the uncertainty of the continuous parameters, taking into account that the different moments of a line profile are correlated and that the uncertainty of the observed moments also depends on the model parameters. Furthermore, we set up a procedure to take into account the mode uncertainty, i.e. the fact that often several modes (l, m) can adequately describe the data. We also introduce a new lack-of-fit function which works at least as well as a previous discriminant function, and which in addition allows us to identify the sign of the azimuthal order m. We applied our method to star HD181558 by using several numerical methods, from which we learned that numerically solving the estimating equations is an intensive task. We report on the numerical results, from which we gain insight in the statistical uncertainties of the physical parameters that are involved in the moment method.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/j.1467-9876.2005.00487.x
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2005
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 8
    Online Resource
    Online Resource
    Modelling Forces of Infection by Using Monotone Local Polynomials
    Oxford University Press (OUP) ; 2003
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 52, No. 4 ( 2003-10-01), p. 469-485
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 52, No. 4 ( 2003-10-01), p. 469-485
    Abstract: On the basis of serological data from prevalence studies of rubella, mumps and hepatitis A, the paper describes a flexible local maximum likelihood method for the estimation of the rate at which susceptible individuals acquire infection at different ages. In contrast with parametric models that have been used before in the literature, the local polynomial likelihood method allows this age-dependent force of infection to be modelled without making any assumptions about the parametric structure. Moreover, this method allows for simultaneous nonparametric estimation of age-specific incidence and prevalence. Unconstrained models may lead to negative estimates for the force of infection at certain ages. To overcome this problem and to guarantee maximal flexibility, the local smoother can be constrained to be monotone. It turns out that different parametric and nonparametric estimates of the force of infection can exhibit considerably different qualitative features like location and the number of maxima, emphasizing the importance of a well-chosen flexible statistical model.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/1467-9876.00418
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2003
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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  • 9
    Online Resource
    Online Resource
    A Flexible Method to Measure Synchrony in Neuronal Firing
    Informa UK Limited ; 2008
    In:  Journal of the American Statistical Association Vol. 103, No. 481 ( 2008-03-01), p. 149-161
    Details
    In: Journal of the American Statistical Association, Informa UK Limited, Vol. 103, No. 481 ( 2008-03-01), p. 149-161
    Type of Medium: Online Resource
    ISSN: 0162-1459 , 1537-274X
    URL: Article
    DOI: 10.1198/016214507000000419
    RVK:
    QA 10000
    RVK:
    SA 2455
    Language: English
    Publisher: Informa UK Limited
    Publication Date: 2008
    detail.hit.zdb_id: 2064981-2
    detail.hit.zdb_id: 207602-0
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  • 10
    Online Resource
    Online Resource
    Latent Class Analysis of Persistent Disturbing Behaviour Patients by Using Longitudinal Profiles
    Oxford University Press (OUP) ; 2010
    In:  Journal of the Royal Statistical Society Series C: Applied Statistics Vol. 59, No. 3 ( 2010-05-01), p. 495-512
    Details
    In: Journal of the Royal Statistical Society Series C: Applied Statistics, Oxford University Press (OUP), Vol. 59, No. 3 ( 2010-05-01), p. 495-512
    Abstract: Persistent disturbing behaviour refers to a chronic condition in highly unstable, therapy resistant psychiatric patients. Because these patients are difficult to maintain in their natural living environment and even in hospital wards, purposely designed residential psychiatric facilities need to be established. Therefore, it is important to define and circumscribe the group carefully. Serroyen and co-workers, starting from the longitudinal analysis of a score based on data from the Belgian national psychiatric registry, undertook a discriminant analysis to distinguish persistent disturbing behaviour patients from a control group. They also indicated that there is scope for further subdividing the persistent disturbing behaviour patients into two subgroups, using conventional cluster analysis techniques. We employ a variety of novel longitudinal-data-based cluster analysis techniques. These are based on either conventional growth models, growth–mixture models or latent class growth models. Unlike in earlier analyses, where some evidence for two groups was found, there now is an indication of three groups, which is a finding with high practical and organizational relevance.
    Type of Medium: Online Resource
    ISSN: 0035-9254 , 1467-9876
    URL: Article
    DOI: 10.1111/j.1467-9876.2009.00704.x
    RVK:
    SA 7810
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2010
    detail.hit.zdb_id: 204797-4
    detail.hit.zdb_id: 1482300-7
    detail.hit.zdb_id: 1476894-X
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