Alvan R. Feinstein

Principles of Medical Statistics (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get readers thinking about data and statistical procedures. It covers many of the newew statistical methods and approaches and is arranged in a logical sequence that advances from simple to more elaborate results. The text describes all the conventional statistical procedures and offers reasonably rigorous accounts of many of their mathematical justifications. Although the conventional mathematical principles are given a respectful account, the book provides a distinctly clinical orientation with examples and teaching exercises drawn from real world medical phenomena.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 14. September 2001
• Englisch
• ISBN-13: 9781040199732
• Artikelnr.: 72583594

Autorenporträt

Alvan R. Feinstein

Inhaltsangabe

Introduction. Formation and Expression of Data. EVALUATING A SINGLE GROUP OF DATA. Central Index of a Group. Indexes of Inner Location. Inner Zones and Spreads. Probabilities and Standardized Indexes. Stability and Confidence Intervals: Means and Medians. Stability and Confidence Intervals: Binary Proportions. Communication and Display of Univariate Data. COMPARING TWO GROUPS OF DATA. Quantitative Contrasts: The Magnitude of Distinctions. Testing Stochastic Hypotheses. Permutation Procedures: Fisher Exact and Pitman-Welch Tests. Parametric Contrasts: Z and t Tests. Chi-Square Test and Evaluation of Two Proportions. Non-Parametric Rank Tests. Displays and Interpretations for Two-Group Contrasts . Special Arrangements for Rates and Proportions. EVALUATING ASSOCIATIONS. Principles of Associations. Evaluating Trends. Evaluating Concordances. Conformity and Marker Tests. Survival and Longitudinal Analyses. ADDITIONAL ACTIVITIES. Alternative Hypotheses and Statistical 'Power'. Testing for 'Equivalence'. Multiple Stochastic Testing. Stratifications, Matchings, and Other "Adjustments." Indexes of Categorical Association. Non-Targeted Analyses. Analysis of Variance. REFERENCES. INDEX. ANSWERS TO EXERCISES.