Applied Meta-Analysis with R and Stata
portes grátis
Applied Meta-Analysis with R and Stata
Chen, Ding-Geng (Din); Peace, Karl E.
Taylor & Francis Ltd
09/2022
424
Mole
Inglês
9780367709341
15 a 20 dias
843
Descrição não disponível.
1. Introduction to R and Stata for Meta-Analysis
2. Research Protocol for Meta-Analyses
3. Fixed-E ects and Random-E ects in Meta-Analysis
4. Meta-Analysis with Binary Data
5. Meta-Analysis for Continuous Data
6. Heterogeneity in Meta-Analysis
7. Meta-Regression
8. Multivariate Meta-Analysis
9. Publication Bias in Meta-Analysis
10. Strategies to Handle Missing Data in Meta-Analysis
11. Meta-Analysis for Evaluating Diagnostic Accuracy
12. Network Meta-Analysis
13. Meta-Analysis for Rare Events
14. Meta-Analyses with Individual Patient-Level Data versus Summary Statistics
15. Other R/Stata Packages for Meta-Analysis
2. Research Protocol for Meta-Analyses
3. Fixed-E ects and Random-E ects in Meta-Analysis
4. Meta-Analysis with Binary Data
5. Meta-Analysis for Continuous Data
6. Heterogeneity in Meta-Analysis
7. Meta-Regression
8. Multivariate Meta-Analysis
9. Publication Bias in Meta-Analysis
10. Strategies to Handle Missing Data in Meta-Analysis
11. Meta-Analysis for Evaluating Diagnostic Accuracy
12. Network Meta-Analysis
13. Meta-Analysis for Rare Events
14. Meta-Analyses with Individual Patient-Level Data versus Summary Statistics
15. Other R/Stata Packages for Meta-Analysis
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
binary data;rare events;multivariate statistics;meta-regression;clinical trials;Statistical meta-analyses;Stata programs;R programs;Pharmaceutical industry;Code Chunk;Random Effects Model;Fixed Effects Model;Random Effects Meta-analysis;DerSimonian Laird Estimator;Metafor Package;Inverse Variance Method;Fixed Effects Meta-analysis;Total Heterogeneity;Forest Plot;Random Effects Meta-analysis Models;Log RR;Meta-analysis Methods;Total Variability;Library Meta;Random Effects Meta-regression;Funnel Plot;Residual Heterogeneity;Network Meta-analysis;Publication Bias;Meta Package;Sampling Variability;Step-by Step Implementation;Missing Data;MNAR Assumption
1. Introduction to R and Stata for Meta-Analysis
2. Research Protocol for Meta-Analyses
3. Fixed-E ects and Random-E ects in Meta-Analysis
4. Meta-Analysis with Binary Data
5. Meta-Analysis for Continuous Data
6. Heterogeneity in Meta-Analysis
7. Meta-Regression
8. Multivariate Meta-Analysis
9. Publication Bias in Meta-Analysis
10. Strategies to Handle Missing Data in Meta-Analysis
11. Meta-Analysis for Evaluating Diagnostic Accuracy
12. Network Meta-Analysis
13. Meta-Analysis for Rare Events
14. Meta-Analyses with Individual Patient-Level Data versus Summary Statistics
15. Other R/Stata Packages for Meta-Analysis
2. Research Protocol for Meta-Analyses
3. Fixed-E ects and Random-E ects in Meta-Analysis
4. Meta-Analysis with Binary Data
5. Meta-Analysis for Continuous Data
6. Heterogeneity in Meta-Analysis
7. Meta-Regression
8. Multivariate Meta-Analysis
9. Publication Bias in Meta-Analysis
10. Strategies to Handle Missing Data in Meta-Analysis
11. Meta-Analysis for Evaluating Diagnostic Accuracy
12. Network Meta-Analysis
13. Meta-Analysis for Rare Events
14. Meta-Analyses with Individual Patient-Level Data versus Summary Statistics
15. Other R/Stata Packages for Meta-Analysis
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
binary data;rare events;multivariate statistics;meta-regression;clinical trials;Statistical meta-analyses;Stata programs;R programs;Pharmaceutical industry;Code Chunk;Random Effects Model;Fixed Effects Model;Random Effects Meta-analysis;DerSimonian Laird Estimator;Metafor Package;Inverse Variance Method;Fixed Effects Meta-analysis;Total Heterogeneity;Forest Plot;Random Effects Meta-analysis Models;Log RR;Meta-analysis Methods;Total Variability;Library Meta;Random Effects Meta-regression;Funnel Plot;Residual Heterogeneity;Network Meta-analysis;Publication Bias;Meta Package;Sampling Variability;Step-by Step Implementation;Missing Data;MNAR Assumption
