Introduction to Statistical Methods in Pathology 1st Edition by Amir Momeni, Matthew Pincus, Jenny Libien ISBN 3319605437 9783319605432

Introduction to Statistical Methods in Pathology 1st Edition by Amir Momeni, Matthew Pincus, Jenny Libien – Ebook PDF Instant Download/Delivery. 3319605437, 9783319605432
Full download Introduction to Statistical Methods in Pathology 1st Edition after payment

Product details:

ISBN 10: 3319605437 
ISBN 13: 9783319605432
Author: Amir Momeni, Matthew Pincus, Jenny Libien

This text provides a comprehensive and practical review of the main statistical methods in pathology and laboratory medicine. It introduces statistical concepts used in pathology and laboratory medicine. The information provided is relevant to pathologists both for their day to day clinical practice as well as in their research and scholarly activities. The text will begins by explaining the fundamentals concepts in statistics. In the later sections, these fundamental concepts are expanded and unique applications of statistical methods in pathology and laboratory medicine practice are introduced. Other sections of the text explain research methodology in pathology covering a broad range of topics from study design to analysis of data. Finally, data-heavy novel concepts that are emerging in pathology and pathology research are presented such as molecular pathology and pathology informatics. Introduction to Statistical Methods in Pathology will be of great value for pathologists, pathology residents, basic and translational researchers, laboratory managers and medical students.

Introduction to Statistical Methods in Pathology 1st Table of contents:

Chapter 1: Why Every Pathologist Needs to Know Statistics
Introduction
Outcomes and Variables in Pathology and Laboratory Medicine
Components of a Useful Diagnostic Test
Examples
Defining Test Objectives
Summary
References
Chapter 2: Assessing Diagnostic Tests
Technical Accuracy and Precision
Error
Standard Deviation
Confidence Interval
Calculating Reference Intervals
Calculating Sample Size for Reference Interval Estimation
Diagnostic Accuracy and Testing for Accuracy
Sensitivity and Specificity
Predictive Values
Receiver Operating Characteristic Curve
Calculating AUC
Clinical Applicability
Transferability
Feasibility
Cost-Effectiveness Analysis
Summary
References
Chapter 3: Probability and Probability Distribution
Introduction
Probability Measure and Axioms of Probability
Conditional Probability
Multiplication Rule
Bayesian Probability
Pretest and Posttest Probability
Probability Distribution
Discrete Distribution
Mean and Variance
Continuous Distributions
Introduction to Distribution Plots
Summary
References
Chapter 4: Linear Correlations
Linear Correlations in the Medical Laboratory
Two-Tailed T-Test
Correlation Plots
Determination of the “Best´´ Straight Line Through Experimentally Determined Points
Derivation of the Least Square Best Fit Line Through the Experimentally Determined Points
Correlation Coefficient
Problems with This Approach
Correlation Versus Closeness of Fit to a Straight Line
Slopes and Intercepts
Errors in the Slopes and Intercepts
Error in the Slope
An Alternate Method
Confidence Interval for the Slope
Error in the Intercept (Sint)
Bias
Linearity and Calibration
Practical Considerations
Calibration
Summary
References
Chapter 5: Cross Tabulation and Categorical Data Analysis
Introduction
Categorical Variables
Contingency Table
Hypothesis Testing
Statistical Power
P-Value
Bonferroni Correction
Analysis of Risk Ratios
Chi-Squared Tests
Degrees of Freedom
Chi-Squared Distribution
The Chi-Squared Probability Distribution Function
Pearson Chi-Squared Test
Measures of Association
McNemar´s Test
Cochran-Mantel-Haenszel Test
Fisher´s Exact Test
Measures of Agreement
Cohen´s Kappa
Fleiss´s Kappa
Summary
References
Chapter 6: Comparing Sample Means
Introduction
Continuous Data
Mean and Median
Variance, Skewness, and Kurtosis
Parametric Versus Non-parametric Tests
Outliers
One-Tailed Versus Two-Tailed Testing
Testing for Normality
Parametric Tests
Student´s t-Test
T-Distribution
One-Sample t-Test
Independent Sample t-Test
Paired t-Test
One-Way ANOVA
Non-parametric Tests
Mann-Whitney U Test
Kruskal-Wallis Test
Effect Size
Cohen´s d
Cohen´s f
Ordinal Variables
Kendall´s Tau Test
Spearman´s Rho Test
Summary
References
Chapter 7: Multivariate Analysis
Introduction
Generalized Linear Model
Multiple Regression Analysis
Assessing Utility of the Fitted Model
Interaction and Collinearity
Logistic Regression
Binary Logistic Regression
Multinomial Logistic Regression
Ordinal Logistic Regression
Internal and External Validity
Summary
References
Chapter 8: Imputation and Missing Data
Introduction
Missing Data
Types of Missing Data
Graphical Visualization of Missing Data
Dealing with Missing Data
Robust Statistics
Data Discarding Solutions
Complete-Case Analysis
Available-Case Analysis
Imputation
Single Imputation
Multiple Imputation
Summary
References
Chapter 9: Survival Analysis
Introduction
Incidence
Survival Analysis
Censoring
Survival Data
Survival Function
Hazard Function
Kaplan-Meier Estimator
Log-Rank Test
Cox-Proportional Hazards Regression
Summary
References
Chapter 10: Validation of New Tests
Introduction
Test Validation
Defining Analytical Goals
Validation Experiments
Sample Size Calculations
Accuracy Experiment for Qualitative Tests
Precision Experiment for Qualitative Tests
Method Comparison Experiments for Quantitative Tests
F-Test for Precision
Linearity Experiments for Reportable Range
Allowable Total Error
Detection Limit Experiments
Notes on Validation of Immunohistochemical Tests
Summary
References
Chapter 11: Statistical Concepts in Laboratory Quality Control
Introduction
Control Limits
Levey-Jennings Charts
Westgard Rules
Average of Normals
Delta Check
Moving Patient Averages
Statistical Concepts for External Quality Control
Summary
References
Chapter 12: Critical Appraisal of Diagnostic Studies
Introduction
Levels of Evidence
Evidence-Based Recommendations
Critical Appraisal of Diagnostic Studies
Systematic Reviews
Meta-analysis
Publication Bias
Summary
References
Chapter 13: Designing Diagnostic Studies
Introduction
Diagnostic Research Design
Phases in Clinical Diagnostic Studies
Diagnostic Accuracy Studies
Index Test
Reference Standards
Examples of Diagnostic Accuracy Study Designs
Observational Studies
Paired Comparative Accuracy Studies
Randomized Comparative Accuracy Studies
Sample Size Calculations
Reporting of Diagnostic Accuracy Studies
Summary
References
Chapter 14: Statistical Concepts in Modern Pathology Practice
Introduction
Clustering Algorithms
K-Means Clustering
Hierarchical Clustering

People also search for Introduction to Statistical Methods in Pathology 1st:

    
introduction to statistical methods in pathology
    
introduction to statistical methods
    
introduction of statistical analysis
    
introduction to statistical methods for clinical trials
    
introduction to statistical methods and data analysis