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Handbook of clinical neuroepidemiology /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Feigin, Valery L., Bennett, Derrick A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Nova Science Publishers, c2007.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • HANDBOOK OF CLINICALNEUROEPIDEMIOLOGY; HANDBOOK OF CLINICALNEUROEPIDEMIOLOGY; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; INTRODUCTION; BASICS OF NEUROEPIDEMIOLOGY; CHAPTER 1. FUNDAMENTAL STATISTICAL ANDEPIDEMIOLOGICAL CONCEPTS; ABSTRACT; INTRODUCTION; FUNDAMENTALS OF STATISTICS; Sampling; Estimation; Types of Data, Presentation of Data; SUMMARISING CONTINUOUS DATA; The Mean, Median and Mode; Measures of Variation; Summarising Categorical Data; Frequency Distributions; The Normal Distribution and Sampling Distributions; Standard Normal Distribution; Standardising.
  • Statistical InferenceSampling Distributions; Properties of the Sampling Distribution of the Mean; The Central Limit Theorem; Confidence Interval for a Mean; Confidence Interval for a Categorical Variable; Interpretation of Confidence Intervals; Hypothesis Testing; Example; Two-sided alternative hypothesis; Results of Hypothesis Testing; Type I and Type II Errors; Significance Levels; Summary; EPIDEMIOLOGICAL STUDY DESIGNS; Experimental Studies; Parallel versus Crossover Randomized Controlled Trials; Parallel trials can take several difference forms; Non-Experimental (Observational) Studies.
  • Rates, Ratios, Numerator and DenominatorIncidence and Prevalence; Cohort Studies; Cross-Sectional and Survey Studies; Ecological Studies; Case-Control Studies; Case-Reports or Case-Series; INTERPRETING EPIDEMIOLOGICAL STUDIES; Sample Size; Ethical Issues; Summary; BIAS IN EPIDEMIOLOGICAL STUDY DESIGNS; Practical Ways to Control for Bias in Non-Experimental Studies; Example; Example; Practical Ways to Control for Bias in Experimental Studies; Mendelian Randomisation Studies; Summary; SOME COMMON STATISTICAL TESTS.
  • Comparison of Means in Two Related (Paired) Samples
  • Paired T-Test(One-Sample T-Test)Examples; Comparison of the Means of Two Independent Groups
  • Independent TTest(2-Sample T-Test); Examples; Comparison of Categorical Data; Comparison of Proportions from Two Independent Groups; Chi Squared Test; Comparison of Proportions from Two Related Groups; Summary; SOME MORE ADVANCED STATISTICAL TESTS; Comparison of More Than Two Means (ANOVA); Assumptions of Analysis of Variance; Transformations; Transformations to Normalise Distributions; Transformations to Eliminate Heterogeneity of Variance.
  • Non-Parametric TestsSummary; CORRELATION; Pearson Product Moment Correlation Coefficient; Significance Test for Correlation Coefficient; Spearman's Rank Correlation Coefficient; Summary; REGRESSION BASED METHODS; Linear Regression; Multiple Linear Regression; Multiple Correlation; Assumptions of Multiple Linear Regression; Checking the Assumptions; The Relationship between Multiple Regression and ANOVA; Analysis of Covariance (ANCOVA); Logistic Regression; Survival Times and Cox Regression; Displaying Survival Times; Cox Proportional Hazards Regression.