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Quantifying the bias in the estimated treatment effect in randomized trials having interim analyses and a rule for early stopping for futility.
Walter, S D; Han, H; Briel, M; Guyatt, G H.
Affiliation
  • Walter SD; Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
  • Han H; Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.
  • Briel M; Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada.
  • Guyatt GH; Basel Institute for Clinical Epidemiology and Biostatistics, Department of Clinical Research, University Hospital Basel, Switzerland.
Stat Med ; 36(9): 1506-1518, 2017 04 30.
Article in En | MEDLINE | ID: mdl-28183155
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bias / Randomized Controlled Trials as Topic / Data Interpretation, Statistical / Medical Futility / Early Termination of Clinical Trials Type of study: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Med Year: 2017 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bias / Randomized Controlled Trials as Topic / Data Interpretation, Statistical / Medical Futility / Early Termination of Clinical Trials Type of study: Clinical_trials / Guideline / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Med Year: 2017 Document type: Article Affiliation country: Country of publication: