SPSS for Starters, Part 2

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Multistage Regression (35 Patients)
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   Chapter 3 Multivariate Analysis Using Path Statistics (35 Patients)
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   Chapter 4 Multivariate Analysis of Variance (35 and 30 Patients)
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   Chapter 5 Categorical Data (60 patients)
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   Chapter 6 Multinomial Logistic Regression (55 Patients)
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   Chapter 7 Missing Data Imputation (35 Patients)
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   Chapter 8 Comparing the Performance of Diagnostic Tests (650 and 588 Patients)
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    Chapter 9 Meta-Regression (20 and 9 Studies)
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    Chapter 10 Poisson Regression (50 and 52 Patients)
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    Chapter 11 Confounding (40 patients)
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    Chapter 12 Interaction, Random Effect Analysis of Variance (40 Patients)
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    Chapter 13 Log Rank Testing (60 Patients)
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    Chapter 14 Segmented Cox Regression (60 Patients)
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    Chapter 15 Curvilinear Estimation (20 Patients)
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    Chapter 16 Loess and Spline Modeling (90 Patients)
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    Chapter 17 Assessing Seasonality (24 Averages)
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    Chapter 18 Monte Carlo Tests and Bootstraps for Analysis of Complex Data (10, 20, 139, and 55 Patients)
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    Chapter 19 Artificial Intelligence (90 Patients)
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    Chapter 20 Robust Testing (33 Patients)