Biostatistics : a guide to design, analysis, and discovery /

Biostatistics : a guide to design, analysis, and discovery /

Xehetasun bibliografikoak
Egile nagusia:	Forthofer, Ron N., 1944-
Beste egile batzuk:	Lee, Eun Sul, Hernandez, Mike
Formatua:	Liburua
Hizkuntza:	English
Argitaratua:	Burlington, MA : Elsevier Academic Press, c2007 [Reprinted 2011]
Edizioa:	2nd ed.
Gaiak:	Medicine > Research > Statistical methods. Biometry. Pharmacy.
Classic Catalogue:	View this record in Classic Catalogue

Antzeko izenburuak

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Biostatistics : basic concepts and methodology for the health sciences /
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Biostatistics : how it works /
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Biostatistical analysis /
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Essentials of medical statistics /
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Biostatistics : a methodology for the health sciences /
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Epidemiology, biostatistics, and preventive medicine /
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Biostatistics for the biological and health sciences /
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Biostatistics for the biological and health sciences /
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Fundamentals of biostatistics /
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A study guide to epidemiology and biostatistics /
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Using and understanding medical statistics /
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Advances in statistical methods for the health sciences : applications to cancer and AIDS studies, genome sequence analysis, and survival analysis /
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Logistic regression : a self-learning text /
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Statistical methods for practice and research : a guide to data analysis using SPSS /
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Medical and pharmaceutical statistics /
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Formulation simplified : finding the sweet spot through design and analysis of experiments with mixtures /
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Analysis of Correlated Data with SAS and R /
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Modern epidemiology /
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Essentials of research methods : a guide to social science research /
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Modern analysis of customer surveys : with applications using R /
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Demystifying social statistics /
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Business research methods and statistics using SPSS /
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A guide to everyday economic statistics /
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Analyzing qualitative data /
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Research and evaluation in education and the social sciences /
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Handbook of data analysis /
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Research design : qualitative & quantitative approaches /
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Set-Theoretic Methods for the Social Sciences
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Research design : qualitative, quantitative, and mixed methods approaches /
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Statistical techniques in business & economics /
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Statistics for management /
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