Handbook of Meta-Analysis
portes grátis
Handbook of Meta-Analysis
Schmid, Christopher H.; White, Ian; Stijnen, Theo
Taylor & Francis Ltd
03/2022
570
Mole
Inglês
9780367539689
15 a 20 dias
1050
Descrição não disponível.
1. Introduction to systematic review and meta-analysis
2. General themes in meta-analysis
3. Choice of effect measure and issues in extracting outcome data
4. Analysis of univariate study-level summary data using normal models
5. Exact likelihood methods for group-based summaries
6. Bayesian methods for meta-analysis
7. Meta-regression
8. Individual participant data meta-analysis
9. Multivariate meta-analysis
10. Network meta-analysis
11. Model Checking in meta-analysis
12. Handling internal and external biases: quality and relevance of studies
13. Publication and outcome reporting bias
14. Control risk regression
15. Multivariate meta-analysis of survival proportions
16. Meta-analysis of correlations, correlation matrices and their functions
17. The meta-analysis of genetic studies
18. Meta-analysis of dose-response relationships
19. Meta-analysis of diagnostic tests
20. Meta-analytic approach to evaluation of surrogate endpoints
21. Meta-analysis of epidemiological data, with a focus on individual participant data
22. Meta-analysis of prediction models
23. Using meta-analysis to plan further research
2. General themes in meta-analysis
3. Choice of effect measure and issues in extracting outcome data
4. Analysis of univariate study-level summary data using normal models
5. Exact likelihood methods for group-based summaries
6. Bayesian methods for meta-analysis
7. Meta-regression
8. Individual participant data meta-analysis
9. Multivariate meta-analysis
10. Network meta-analysis
11. Model Checking in meta-analysis
12. Handling internal and external biases: quality and relevance of studies
13. Publication and outcome reporting bias
14. Control risk regression
15. Multivariate meta-analysis of survival proportions
16. Meta-analysis of correlations, correlation matrices and their functions
17. The meta-analysis of genetic studies
18. Meta-analysis of dose-response relationships
19. Meta-analysis of diagnostic tests
20. Meta-analytic approach to evaluation of surrogate endpoints
21. Meta-analysis of epidemiological data, with a focus on individual participant data
22. Meta-analysis of prediction models
23. Using meta-analysis to plan further research
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
multivariate data;meta-analysis;current statistical methodology;Common Effect Model;Standard Random Effects Model;National Library;NMAs;Log Odds Ratio;Network Meta-analysis Model;LMM Program;Pairwise Meta-analysis;Random Study Effects;Composite Likelihood Approach;SAS NLMIXED Procedure;Separate Univariate Models;Mixed Effects Logistic Regression Models;Random Effect Meta-analysis;Multivariate Meta-analysis;Meta-regression Models;Study Level Covariates;Random Effects Model;Univariate Meta-analysis;Summary Roc Curve;Random Treatment Effects;Credible Interval;Linear Mixed Model;Treatment Effect Estimates;Orb
1. Introduction to systematic review and meta-analysis
2. General themes in meta-analysis
3. Choice of effect measure and issues in extracting outcome data
4. Analysis of univariate study-level summary data using normal models
5. Exact likelihood methods for group-based summaries
6. Bayesian methods for meta-analysis
7. Meta-regression
8. Individual participant data meta-analysis
9. Multivariate meta-analysis
10. Network meta-analysis
11. Model Checking in meta-analysis
12. Handling internal and external biases: quality and relevance of studies
13. Publication and outcome reporting bias
14. Control risk regression
15. Multivariate meta-analysis of survival proportions
16. Meta-analysis of correlations, correlation matrices and their functions
17. The meta-analysis of genetic studies
18. Meta-analysis of dose-response relationships
19. Meta-analysis of diagnostic tests
20. Meta-analytic approach to evaluation of surrogate endpoints
21. Meta-analysis of epidemiological data, with a focus on individual participant data
22. Meta-analysis of prediction models
23. Using meta-analysis to plan further research
2. General themes in meta-analysis
3. Choice of effect measure and issues in extracting outcome data
4. Analysis of univariate study-level summary data using normal models
5. Exact likelihood methods for group-based summaries
6. Bayesian methods for meta-analysis
7. Meta-regression
8. Individual participant data meta-analysis
9. Multivariate meta-analysis
10. Network meta-analysis
11. Model Checking in meta-analysis
12. Handling internal and external biases: quality and relevance of studies
13. Publication and outcome reporting bias
14. Control risk regression
15. Multivariate meta-analysis of survival proportions
16. Meta-analysis of correlations, correlation matrices and their functions
17. The meta-analysis of genetic studies
18. Meta-analysis of dose-response relationships
19. Meta-analysis of diagnostic tests
20. Meta-analytic approach to evaluation of surrogate endpoints
21. Meta-analysis of epidemiological data, with a focus on individual participant data
22. Meta-analysis of prediction models
23. Using meta-analysis to plan further research
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
multivariate data;meta-analysis;current statistical methodology;Common Effect Model;Standard Random Effects Model;National Library;NMAs;Log Odds Ratio;Network Meta-analysis Model;LMM Program;Pairwise Meta-analysis;Random Study Effects;Composite Likelihood Approach;SAS NLMIXED Procedure;Separate Univariate Models;Mixed Effects Logistic Regression Models;Random Effect Meta-analysis;Multivariate Meta-analysis;Meta-regression Models;Study Level Covariates;Random Effects Model;Univariate Meta-analysis;Summary Roc Curve;Random Treatment Effects;Credible Interval;Linear Mixed Model;Treatment Effect Estimates;Orb
