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Statistics in Medicine

Statistics in Medicine

9780128153284
443,30 zł
398,90 zł Zniżka 44,40 zł Brutto
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Opis

Statistics in Medicine, Fourth Edition, helps medical and biomedical investigators design and answer questions about analyzing and interpreting data and predicting the sample size required to achieve useful results. It makes medical statistics easy for the non-biostatistician by outlining common methods used in 90% of medical research. The text covers how to plan studies from conception to publication, what to do with data, and follows with step-by-step instructions for biostatistical methods from the simplest levels, to more sophisticated methods now used in medical articles. Examples from almost every medical specialty, and from dentistry, nursing, pharmacy and health care management are provided.

This book does not require background knowledge of statistics or mathematics beyond high school algebra and provides abundant clinical examples and exercises to reinforce concepts. It is a valuable source for biomedical researchers, healthcare providers and anyone who conducts research or quality improvement projects.

Szczegóły produktu
Academic Press
103056
9780128153284

Opis

Rok wydania
2020
Numer wydania
4
Oprawa
twarda
Liczba stron
822
Wymiary (mm)
191 x 235
  • 1. Planning Studies: From Design to Publication

    2. Planning Analysis: Addressing Your Scientific Objective

    3. Probability and Relative Frequency

    4. Distributions

    5. Descriptive Statistics

    6. Finding Probabilities

    7. Hypothesis Testing: Concept and Practice

    8. Confidence Intervals

    9. Tests on Categorical Data

    10. Risks, Odds, and ROC Curves

    11. Tests of Location with Continuous Outcomes

    12. Equivalence Testing

    13. Tests on Variability and Distributions

    14. Measuring Association and Agreement

    15. Linear Regression and Correlation

    16. Multiple Linear and Curvilinear Regression

    17. Logistic Regression for Binary Outcomes

    18. Regression Models for Count Outcomes

    19. Analysis of Censored Time-To-Event Data

    20. Analysis of Repeated Continuous Measures of Time

    21. Sample Size Estimation

    22. Clinical Trials and Group Sequential Analyses

    23. Epidemiology and Alternative Sampling Designs

    24. Meta Analyses

    25. Bayesian Statistics

    26. Questionnaires and Surveys

    27. Techniques to Aid Analysis

    28. Methods You Might Meet, But Not Every Day

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