
Medical and health statistics applied in one go using SAS and meta-analysis.
Description
Book Introduction
How to conduct research efficiently within a limited time
Clearly outlines how to write a real research paper.
For years, the authors have been providing easy-to-understand data analysis courses for researchers, business analytics, and medical statistical analysis to help researchers, practitioners, and healthcare professionals analyze data and write research reports and papers more quickly and efficiently.
This book is based on my experience in field consulting and lectures for medical researchers and healthcare professionals.
Clearly outlines how to write a real research paper.
For years, the authors have been providing easy-to-understand data analysis courses for researchers, business analytics, and medical statistical analysis to help researchers, practitioners, and healthcare professionals analyze data and write research reports and papers more quickly and efficiently.
This book is based on my experience in field consulting and lectures for medical researchers and healthcare professionals.
- You can preview some of the book's contents.
Preview
index
PART 1: Medical and Health Statistics Using SAS [Basic Edition]
SECTION 01. Understanding SAS Programs
Parametric vs. Nonparametric Statistics
SECTION 02.
Chi-square test vs. Fisher's exact test
SECTION 03.
Independent Samples t-Test vs. Mann-Whitney U Test
SECTION 04.
One-Way ANOVA vs. Kruskal-Wallis Test
SECTION 05.
Paired Samples t-Test vs. Wilcoxon Signed-Rank Test
SECTION 06.
Repeated Measures ANOVA vs. Friedman Test
SECTION 07.
Pearson correlation analysis vs. Spearman's correlation
[Testing correlation between variables]
SECTION 08.
Simple regression analysis
SECTION 09.
multiple regression analysis
SECTION 10.
Logistic regression analysis
SECTION 11.
Poisson regression analysis
PART 2: Medical and Health Statistics Using SAS [Advanced]
[Other comparative analysis]
SECTION 12. ANCOVA (Analysis of Covariance)
SECTION 13.
McNemar's Test
SECTION 14.
Two-way ANOVA
[Advanced Analysis]
SECTION 15.
Survival analysis (Kaplan-Meier & Log-rank Test)
SECTION 16.
Cox proportional hazards regression analysis
SECTION 17.
Diagnostic Test & ROC Curve
SECTION 18.
Reproducibility test (Cohen's Kappa Coefficient)
SECTION 19.
Equivalence & Non-Inferiority Test
PART 3 _ Meta-analysis using R & jamovi
SECTION 20.
Understanding meta-analysis and systematic reviews
SECTION 21.
Steps of meta-analysis
SECTION 22.
Calculating and analyzing effect sizes
SECTION 23.
Moderating effect analysis
SECTION 24.
Publication Error Analysis
SECTION 25.
Cumulative meta-analysis and sensitivity analysis
SECTION 25.
How to interpret meta-analysis output results and report results
SECTION 01. Understanding SAS Programs
Parametric vs. Nonparametric Statistics
SECTION 02.
Chi-square test vs. Fisher's exact test
SECTION 03.
Independent Samples t-Test vs. Mann-Whitney U Test
SECTION 04.
One-Way ANOVA vs. Kruskal-Wallis Test
SECTION 05.
Paired Samples t-Test vs. Wilcoxon Signed-Rank Test
SECTION 06.
Repeated Measures ANOVA vs. Friedman Test
SECTION 07.
Pearson correlation analysis vs. Spearman's correlation
[Testing correlation between variables]
SECTION 08.
Simple regression analysis
SECTION 09.
multiple regression analysis
SECTION 10.
Logistic regression analysis
SECTION 11.
Poisson regression analysis
PART 2: Medical and Health Statistics Using SAS [Advanced]
[Other comparative analysis]
SECTION 12. ANCOVA (Analysis of Covariance)
SECTION 13.
McNemar's Test
SECTION 14.
Two-way ANOVA
[Advanced Analysis]
SECTION 15.
Survival analysis (Kaplan-Meier & Log-rank Test)
SECTION 16.
Cox proportional hazards regression analysis
SECTION 17.
Diagnostic Test & ROC Curve
SECTION 18.
Reproducibility test (Cohen's Kappa Coefficient)
SECTION 19.
Equivalence & Non-Inferiority Test
PART 3 _ Meta-analysis using R & jamovi
SECTION 20.
Understanding meta-analysis and systematic reviews
SECTION 21.
Steps of meta-analysis
SECTION 22.
Calculating and analyzing effect sizes
SECTION 23.
Moderating effect analysis
SECTION 24.
Publication Error Analysis
SECTION 25.
Cumulative meta-analysis and sensitivity analysis
SECTION 25.
How to interpret meta-analysis output results and report results
Detailed image

Publisher's Review
I want to conduct research quickly in a limited time.
Books for those working in the medical and health care industry
This three-volume series, including this book, covers almost everything that can be covered in medical and health statistics.
Furthermore, based on my consulting experience, I have provided easy-to-understand explanations of methods (meta-analysis, text analysis, panel data, and complex samples) that can help busy doctors and nurses write papers quickly.
I hope that the "Medical and Health Statistics Applicable in One Place" series will help doctors and nurses reduce the time it takes to write papers and statistics, and help protect the health of the public.
Books for those working in the medical and health care industry
This three-volume series, including this book, covers almost everything that can be covered in medical and health statistics.
Furthermore, based on my consulting experience, I have provided easy-to-understand explanations of methods (meta-analysis, text analysis, panel data, and complex samples) that can help busy doctors and nurses write papers quickly.
I hope that the "Medical and Health Statistics Applicable in One Place" series will help doctors and nurses reduce the time it takes to write papers and statistics, and help protect the health of the public.
GOODS SPECIFICS
- Date of issue: March 9, 2023
- Page count, weight, size: 516 pages | 188*257*35mm
- ISBN13: 9791156646501
- ISBN10: 1156646502
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