SPSS for Starters and 2nd Levelers. (2015)

• Record Type: Book
• Further Information: Note: Ton J. Cleophas, Aeilko H. Zwinderman.
• Authors: Cleophas, Ton J; Zwinderman, Aeilko H
• Contents: 1:One-Sample Continuous Data (One-Sample T-Test, One-Sample Wilcoxon Signed Rank Test, 10 Patients).- 2:Paired Continuous Data (Paired T-Test, Wilcoxon Signed Rank Test, 10 Patients).- 3:Paired Continuous Data with Predictors (Generalized Linear Models, 50 Patients).- 4:Unpaired Continuous Data (Unpaired T-Test, Mann-Whitney, 20 Patients).- 5:Linear Regression (20 Patients).- 6:Multiple Linear Regression (20 Patients).- 7:Automatic Linear Regression (35 Patients).- 8:Linear Regression with Categorical Predictors (60 Patients).- 9:Repeated Measures Analysis of Variance, Friedman (10 Patients).- 10:Repeated Measures Analysis of Variance Plus Predictors (10 Patients).- 11:Doubly Repeated Measures Analysis of Variance (16 Patients).- 12:Repeated Measures Mixed-Modeling (20 Patients).- 13: Unpaired Continuous Data with Three or More Groups (One Way Analysis of Variance, Kruskal-Wallis, 30 Patients).- 14:Automatic Nonparametric Testing (30 Patients).- 15:Trend Test for Continuous Data (30 Patients).- 16:Multistage Regression (35 Patients).- 17:Multivariate Analysis with Path Statistics (35 Patients).- 18:Multivariate Analysis of Variance (35 and 30 Patients).- 19:Missing Data Imputation (35 Patients).- 20:Meta-regression (20 and 9 Studies).- 21:Poisson Regression for Outcome Rates (50 Patients).- 22:Confounding (40 Patients).- 23:Interaction, Random Effect Analysis of Variance (40 Patients).- 24:General Loglinear Models for Identifying Subgroups with Large Health Risks (12 Populations).- 25:Curvilinear Estimation (20 Patients).- 26:Loess and Spline Modeling (90 Patients).- 27:Monte Carlo Tests for Continuous Data (10 and 20 Patients).- 28:Artificial Intelligence Using Distribution Free Data (90 Patients).- 29:Robust Testing (33 Patients).- 30:Nonnegative Outcomes Assessed with Gamma Distribution (110 Patients).- 31:Nonnegative Outcomes Assessed with Tweedie Distribution (110 Patients).- 32:Validating Quantitative Diagnostic Tests (17 Patients).- 33:Reliability Assessment of Quantitative Diagnostic Tests (17 Patients).- 34:One-Sample Binary Data (One-Sample Z-Test, Binomial Test, 55 Patients).- 35:Unpaired Binary Data (Chi-Square Test, 55 Patients).- 36:Logistic Regression with a Binary Predictor (55 Patients).- 37:Logistic Regression with a Continuous Predictor (55 Patients).- 38:Logistic Regression with Multiple Predictors (55 Patients).- 39:Logistic Regression with Categorical Predictors (60 Patients).- 40:Trend Tests for Binary Data (106 Patients).- 41:Paired Binary (McNemar Test) (139 General Practitioners).- 42:Paired Binary Data with Predictor (139 General Practitioners).- 43:Repeated Measures Binary Data (Cochran's Q Test), (139 Patients).- 44:Multinomial Regression for Outcome Categories (55 Patients).- 45:Random Intercept for Categorical Outcome and Predictor Variables (55 Patients).- 46:Comparing the Performance of Diagnostic Tests (650 and 588 Patients).- 47:Poisson Regression for Binary Outcomes (52 Patients).- 48:Ordinal Regression for Data with Underpresented Outcome Categories (450 Patients).- 49:Probit Regression, Binary Data as Response Rates (14 Tests).- 50:Monte Carlo Tests for Binary Data (139 Physicians and 55 Patients).- 51:Loglinear Models, Logit Loglinear Models (445 Patients).- 52:Loglinear Models, Hierarchical Loglinear Models (445 Patients).- 53:Validating Qualitative Diagnostic Tests (575 Patients).- 54:Reliability Assessment of Qualitative Diagnostic Tests (17 Patients).- 55:Log Rank Testing (60 Patients).- 56:Cox Regression With/Without Time Dependent Variables (60 Patients).- 57:Segmented Cox Regression (60 Patients).- 58:Assessing Seasonality (24 Averages).- 59:Interval Censored Data Analysis for Assessing Mean Time to Cancer Relapse (51 Patients).- 60:Polynomial Analysis of Circadian Rhythms (1 Patient with Hypertension).
• Edition: Second edition
• Publisher Details: Cham : Springer
• Publication Date: 2015
• Copyright Date: 2016
• Extent: 1 online resource (375 pages)
• Subjects: Medicine; Computers -- Data Processing; Computers -- Computer Vision & Pattern Recognition; Mathematics -- Probability & Statistics -- General; Computers -- Mathematical & Statistical Software; Information technology: general issues; Pattern recognition; Probability & statistics; Mathematical & statistical software; Computer science; Biometrics; Mathematical statistics; Medical -- General; Medical research
• Languages: English
• ISBNs: 9783319206004
• Related ISBNs: 9783319205991
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.