Search Results - "Walter, S.D."

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  1. 1

    Effect sizes can be calculated for studies reporting ranges for outcome variables in systematic reviews by Walter, S.D, Yao, X

    Published in Journal of clinical epidemiology (01-08-2007)
    “…Abstract Objective To develop a method by which studies reporting the ranges (or maxima and minima) of observed outcomes can be included in systematic reviews,…”
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  2. 2

    Coercive Field Model for Description of Mono- and Multidomain Magnetic Granular Systems by Zucolotto, Benjamim, Plá Cid, Cristiani C, Faita, Fabrício L, Folly, Walter S. D, Pasa, André A

    Published in Journal of physical chemistry. C (06-06-2019)
    “…The study of nanoscopic magnetic systems of granular materials is an interesting subject for fundamental research in the field of condensed matter physics that…”
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  3. 3

    Estimation of screening sensitivity and sojourn time from an organized screening program by Jiang, Huan, Walter, S.D, Brown, P.E, Chiarelli, A.M

    Published in Cancer epidemiology (01-10-2016)
    “…Highlights • A procedure is proposed to model the pre-clinical disease state duration, the false negative rate of the screening exam, and the underlying…”
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  4. 4

    Changes in Circulating Progenitor Cells Are Associated with Functional Capacity in Heart Failure Patients: A Longitudinal Study by Alba, A.C, Lalonde, S, Walter, S.D, Guyatt, G.H, Ross, H.J

    “…Purpose Circulating progenitor cells (CPCs) are involved in the process of endothelial repair and are a prognostic factor in cardiovascular diseases. We aimed…”
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  5. 5

    Local estimates of population attributable risk by Walter, S.D

    Published in Journal of clinical epidemiology (2010)
    “…Abstract Objective To investigate properties of population attributable risk (PAR) estimates, when its components come from different sources. Examples include…”
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    Patients undergoing knee surgery provided accurate ratings of preoperative quality of life and function 2 weeks after surgery by Bryant, Dianne, Norman, Geoff, Stratford, Paul, Marx, Robert G., Walter, S.D., Guyatt, Gordon

    Published in Journal of clinical epidemiology (01-09-2006)
    “…To evaluate patients' ability to recall their preoperative self-reported quality of life, function, and general health 2 weeks postoperatively. We randomized…”
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  7. 7

    Studies reporting ROC curves of diagnostic and prediction data can be incorporated into meta-analyses using corresponding odds ratios by Walter, S.D, Sinuff, T

    Published in Journal of clinical epidemiology (01-05-2007)
    “…Abstract Objective To develop an approach by which studies describing the accuracy of diagnostic tests or clinical predictions can be combined in a…”
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    A new preference-based analysis for randomized trials can estimate treatment acceptability and effect in compliant patients by Walter, S.D., Guyatt, Gordon, Montori, Victor M., Cook, R., Prasad, K.

    Published in Journal of clinical epidemiology (01-07-2006)
    “…Development of a new method of analysis to evaluate the acceptability of (or preferences for) the treatments in a randomized trial, and the benefit of…”
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    The problem of imperfect reference standards by Walter, S.D.

    Published in Journal of clinical epidemiology (01-07-2005)
    “…[...]in the extreme case where the reference and latent categories agree completely, one would not be able to demonstrate that fact by subgroup analyses,…”
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    Randomised trials with provision for early stopping for benefit (or harm): The impact on the estimated treatment effect by Walter, S.D., Guyatt, G.H., Bassler, D., Briel, M., Ramsay, T., Han, H.D.

    Published in Statistics in medicine (30-06-2019)
    “…Stopping rules for clinical trials are primarily intended to control Type I error rates if interim analyses are planned, but less is known about the impact…”
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  15. 15

    A systematic survey of randomised trials that stopped early for reasons of futility by Walter, S D, Han, H, Guyatt, G H, Bassler, D, Bhatnagar, N, Gloy, V, Schandelmaier, S, Briel, M

    Published in BMC medical research methodology (16-01-2020)
    “…Randomised trial protocols may incorporate interim analyses, with the potential to stop the study for futility if early data show insufficient promise of a…”
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  16. 16

    Effect of dependent errors in the assessment of diagnostic or screening test accuracy when the reference standard is imperfect by Walter, S.D., Macaskill, P., Lord, Sarah J., Irwig, L.

    Published in Statistics in medicine (20-05-2012)
    “…When no gold standard is available to evaluate a diagnostic or screening test, as is often the case, an imperfect reference standard test must be used instead…”
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  17. 17

    Inference on cancer screening exam accuracy using population-level administrative data by Jiang, H., Brown, P. E., Walter, S.D.

    Published in Statistics in medicine (15-01-2016)
    “…This paper develops a model for cancer screening and cancer incidence data, accommodating the partially unobserved disease status, clustered data structures,…”
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  18. 18

    Choice of effect measure for epidemiological data by Walter, S.D

    Published in Journal of clinical epidemiology (01-09-2000)
    “…The debate concerning the choice of effect measure for epidemiologic data has been renewed in the literature, and it suggests some continuing disagreement…”
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    Optimal allocation of participants for the estimation of selection, preference and treatment effects in the two-stage randomised trial design by Walter, S.D., Turner, R.M., Macaskill, P., McCaffery, K.J., Irwig, L.

    Published in Statistics in medicine (15-06-2012)
    “…Outcomes in clinical trials may be affected by the choice of treatment that participants might make, if they were indeed allowed to choose (a so‐called…”
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  20. 20

    Longitudinal measurements of oxygen consumption in growing infants during the first weeks after birth: old data revisited by Sinclair, J C, Thorlund, K, Walter, S D

    Published in Neonatology (Basel, Switzerland) (01-01-2013)
    “…In a study conducted in 1966-1969, longitudinal measurements were made of the metabolic rate in growing infants. Statistical methods for analyzing longitudinal…”
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