A sample size justification is often a key component in securing funding to conduct a clinical trial. Sample size computations typically require supplying values of parameters that are unknown and subject to misspecification. As an alternative, we advocate a power analysis approach based on a range of reasonable values for such parameters. We illustrate this approach in the context of a secondary stroke prevention trial.
机构:
Albert Einstein Coll Med, Div Biostat, Dept Epidemiol & Populat Hlth, Bronx, NY 10461 USAAlbert Einstein Coll Med, Div Biostat, Dept Epidemiol & Populat Hlth, Bronx, NY 10461 USA
机构:
Albert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USAAlbert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USA
Heo, Moonseong
Leon, Andrew C.
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Cornell Univ, Weill Med Coll, Dept Psychiat, New York, NY 10021 USA
Cornell Univ, Weill Med Coll, Dept Publ Hlth, New York, NY 10021 USAAlbert Einstein Coll Med, Dept Epidemiol & Populat Hlth, Div Biostat, Bronx, NY 10461 USA
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Univ Lancaster, Fylde Coll, Dept Math & Stat, MPS Res Unit, Lancaster LA1 4YE, EnglandUniv Lancaster, Fylde Coll, Dept Math & Stat, MPS Res Unit, Lancaster LA1 4YE, England
Whitehead, John
Valdes-Marquez, Elsa
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Univ Reading, Sect Quantitat Biol & Appl Stat, Reading, Berks, EnglandUniv Lancaster, Fylde Coll, Dept Math & Stat, MPS Res Unit, Lancaster LA1 4YE, England
Valdes-Marquez, Elsa
Johnson, Patrick
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Pfizer Global Res & Dev, Sandwich, Kent, EnglandUniv Lancaster, Fylde Coll, Dept Math & Stat, MPS Res Unit, Lancaster LA1 4YE, England
Johnson, Patrick
Graham, Gordon
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Pfizer Global Res & Dev, Sandwich, Kent, EnglandUniv Lancaster, Fylde Coll, Dept Math & Stat, MPS Res Unit, Lancaster LA1 4YE, England