Search Results - "Pulkstenis, E."

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    Mixed Effects Logistic Regression Models for Longitudinal Binary Response Data with Informative Drop-Out by Thomas R. Ten Have, Kunselman, Allen R., Pulkstenis, Erik P., Landis, J. Richard

    Published in Biometrics (01-03-1998)
    “…A shared parameter model with logistic link is presented for longitudinal binary response data to accommodate informative drop-out. The model consists of…”
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    Journal Article
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    Estimation of mean quality adjusted survival time by Shen, L. Z., Pulkstenis, E., Hoseyni, M.

    Published in Statistics in medicine (30-06-1999)
    “…In clinical studies, we often consider not only patients' survival time, but also their quality of life. Quality adjusted life years (QALY) is an integrated…”
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  16. 16

    Goodness-of-fit tests for ordinal response regression models by Pulkstenis, Erik, Robinson, Timothy J.

    Published in Statistics in medicine (30-03-2004)
    “…It is well documented that the commonly used Pearson chi‐square and deviance statistics are not adequate for assessing goodness‐of‐fit in logistic regression…”
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    Journal Article
  17. 17

    Two goodness-of-fit tests for logistic regression models with continuous covariates by Pulkstenis, Erik, Robinson, Timothy J.

    Published in Statistics in medicine (15-01-2002)
    “…Assessing goodness‐of‐fit in logistic regression models can be problematic, in that commonly used deviance or Pearson chi‐square statistics do not have…”
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    Journal Article
  18. 18

    Model for the Analysis of Binary Longitudinal Pain Data Subject to Informative Dropout through Remedication by Pulkstenis, Erik P., Ten Have, Thomas R., Landis, J. Richard

    “…We address the problem of accounting for informative dropout in the form of rescue medication when comparing pain relievers with respect to longitudinal binary…”
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  19. 19

    A mixed effects model for the analysis of ordinal longitudinal pain data subject to informative drop-out by Pulkstenis, Erik, Ten Have, Thomas R., Landis, J. Richard

    Published in Statistics in medicine (28-02-2001)
    “…We extend the model of Pulkstenis et al. that models binary longitudinal data, subject to informative drop‐out through remedication, to the ordinal response…”
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