Medicine - Research - Statistical methods.
Overview
| Works: | 49 works in 5 publications in 5 languages | |
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Titles
Regression methods in biostatistics : = linear, logistic, survival, and repeated measures models /
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Regression Methods in Biostatistics = Linear, Logistic, Survival, and Repeated Measures Models /
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Statistical advances in the biomedical sciences : = clinical trials, epidemiology, survival analysis, and bioinformatics /
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Clinical prediction models = a practical approach to development, validation, and updating /
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The biostatistics cookbook = the most user-friendly guide for the bio/medical scientist /
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Dissemination and implementation research in health = translating science to practice /
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(Electronic resources)
Power analysis for experimental research : = a practical guide for the biological, medical, and social sciences /
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Design of experiments and advanced statistical techniques in clinical research
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Regression analysis in medical research = for starters and 2nd levelers /
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(Electronic resources)
Meta-analysis by the confidence profile method : = the statistical synthesis of evidence /
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Applied survival analysis : = regression modeling of time to event data /
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Screening : = methods for experimentation in industry, drug discovery, and genetics /
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Common statistical methods for clinical research with SAS examples
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How to design, analyse and report cluster randomised trials in medicine and health related research
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