Sample size determination for research projects.
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Bias↗
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Results for “Sample Size”
Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.
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On the determination of sample size.
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Environment↗
Cigarette smoking, asbestos exposure, lung cancer, and sample size.
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Adenocarcinoma↗
[Importance of the sample size in clinical trials].
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Clinical Trials as Topic↗
Sample size calculations for repeated measures experiments.
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Data Interpretation, Statistical↗
A statistics primer. Power analysis and sample size determination.
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Research Design↗
Power and sample size considerations in molecular biology.
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Biometry↗
Randomised controlled trials (RCTs)--sample size: the magic number?
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Humans↗
Sample size and diagnostic test evaluations.
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Evaluation Studies as Topic↗
The delusion of reducing sample size.
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Bias↗
The precision of reliability and validity estimates re-visited: distinguishing between clinical and statistical significance of sample size requirements.
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Data Interpretation, Statistical↗
Invited commentary: ethics and sample size--another view.
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Bias↗
Peer review of statistics in medical research. Journal reviewers are even more baffled by sample size issues than grant proposal reviewers.
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Peer Review, Research↗
[Estimate of the sample size in economic evaluations of drugs].
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Clinical Trials as Topic↗
Sampling techniques, confidence intervals, and sample size.
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Confidence Intervals↗
Basic philosophy of statistical tests, confidence intervals and sample size determination.
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Confidence Intervals↗
ESTIMATION OF SAMPLE SIZE IN CARPET WOOL ANALYSIS.
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Animals↗
Sample size and the detection of correlation--a signal detection account: comment on Kareev (2000) and Juslin and Olsson (2005).
Simulations examined the hypothesis that small samples can provide better grounds for inferring the existence of a population correlation, p, than can large samples. Samples of 5, 7, 10, 15, or 30 data pairs were drawn either from a population with p=0 or from one with p>0. When decision accuracy was assessed independently for each level of the decision criterion, there was a criterion-specific small-sample advantage. For liberal criteria, accuracy was greater for large than for small samples, but for conservative criteria, the opposite result occurred. There was no small-sample advantage when accuracy was measured as the area under a receiver operating characteristic curve or as the posterior probability of a hit. The results show that small-sample advantages can occur, but under limited conditions.
Humans↗