Medicine - Research - Statistical methods.
Overview
Works: | 71 works in 32 publications in 32 languages |
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Titles
Introduction to biostatistics :a guide to design, analysis, and discovery /
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Applied survival analysis :regression modeling of time to event data /
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The biostatistics cookbook :the most user-friendly guide for the bio/medical scientist /
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Making sense of factor analysis :the use of factor analysis for instrument development in health care research /
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Medical statistics :a guide to data analysis and critical appraisal /
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Power analysis for experimental research :a practical guide for the biological, medical and social sciences /
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Regression methods in biostatistics :linear, logistic, survival, and repeated measures models /
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Screening :methods for experimentation in industry, drug discovery, and genetics /
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Clinical statistics :introducing clinical trials, survival analysis, and longitudinal data analysis /
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Study design and statistical analysis :a practical guide for clinicians /
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Clinical prediction modelsa practical approach to development, validation, and updating /
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Applied survival analysis :regression modeling of time-to-event data /
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Health and numbers :a problems-based introduction to biostatistics /
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The biostatistics cookbookthe most user-friendly guide for the bio/medical scientist /
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(Electronic resources)
Statistical advances in the biomedical sciences :clinical trials, epidemiology, survival analysis, and bioinformatics /
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Dissemination and implementation research in healthtranslating science to practice /
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How to design, analyse and report cluster randomised trials in medicine and health related research
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Clinical prediction modelsa practical approach to development, validation, and updating /
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Design of experiments and advanced statistical techniques in clinical research
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