Search Results - "WALTER, D. S"

Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test data by Walter, S. D.

“…The summary receiver operating characteristic (SROC) curve has been recommended to represent the performance of a diagnostic test, based on data from a…”
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Effect sizes can be calculated for studies reporting ranges for outcome variables in systematic reviews by Walter, S.D, Yao, X

“…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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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

“…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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Relative efficiencies of alternative preference-based designs for randomised trials by Walter, SD, Bian, M

“…Recent work has shown that outcomes in clinical trials can be affected by which treatment the trial participants would select if they were allowed to do so,…”
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Sample size and optimal designs for reliability studies by Walter, S. D., Eliasziw, M., Donner, A.

“…A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation ρ…”
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Need for expertise based randomised controlled trials by Devereaux, P J, Bhandari, Mohit, Clarke, Mike, Montori, Victor M, Cook, Deborah J, Yusuf, Salim, Sackett, David L, Cinà, Claudio S, Walter, S D, Haynes, Brian, Schünemann, Holger J, Norman, Geoffrey R, Guyatt, Gordon H

“…Although conventional randomised controlled trials are widely recognised as the most reliable method to evaluate pharmacological interventions,1 2 scepticism…”
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The partial area under the summary ROC curve by Walter, S. D.

“…The area under the curve (AUC) is commonly used as a summary measure of the receiver operating characteristic (ROC) curve. It indicates the overall performance…”
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Choice of effect measure for epidemiological data by Walter, S.D

“…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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Beyond the treatment effect: Evaluating the effects of patient preferences in randomised trials by Walter, SD, Turner, R, Macaskill, P, McCaffery, KJ, Irwig, L

“…The treatments under comparison in a randomised trial should ideally have equal value and acceptability – a position of equipoise – to study participants…”
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Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019) by Walter, SD, Macaskill, Petra, Turner, Robin, Guyatt, Gordon, Cook, Richard, Prasad, Kameshwar

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Comment to the reply letter: Letter to the Editor: Preference option randomized design (PORD) for comparative effectiveness research: Statistical power for testing comparative effect, preference effect, selection effect, intent-to-treat effect, and overall effect (SMMR, Vol. 28, Issue 2, 2019) by Walter, SD, Macaskill, Petra, Turner, Robin, Guyatt, Gordon, Cook, Richard, Prasad, Kameshwar

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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.

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

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

“…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

“…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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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

“…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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Number needed to treat (NNT): estimation of a measure of clinical benefit by Walter, S. D.

“…The number needed to treat (NNT) is becoming increasingly popular as an index for reporting the results of randomized trials and other clinical studies. It…”
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Cloning and pharmacological characterization of the dog P2X7 receptor by Roman, S, Cusdin, FS, Fonfria, E, Goodwin, JA, Reeves, J, Lappin, SC, Chambers, L, Walter, DS, Clay, WC, Michel, AD

“…Background and purpose:  Human and rodent P2X7 receptors exhibit differences in their sensitivity to antagonists. In this study we have cloned and…”
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The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials by Bucher, Heiner C., Guyatt, Gordon H., Griffith, Lauren E., Walter, Stephen D.

“…When little or no data directly comparing two treatments are available, investigators often rely on indirect comparisons from studies testing the treatments…”
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Risk of hospitalization during influenza season among a cohort of patients with congestive heart failure by SANDOVAL, C., WALTER, S. D., KRUEGER, P., SMIEJA, M., SMITH, A., YUSUF, S., LOEB, M. B.

“…It is uncertain whether hospitalization among patients with congestive heart failure (CHF) increases during the influenza season. This retrospective cohort…”
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