Add to ORKG21 22 23 24 25 26 27 28 29 Objectives Most contemporary epidemiologic studies use complex analytical methods. New methods are constantly being developed, and older more established methods are yet appropriate. Careful application of statistical analysis techniques can improve causal inference of comparative treatment effects from non-randomized studies using secondary databases. A Task Force was formed to offer a review of the more recen
Introduction Although interest in including non-randomised studies of interventions (NRSIs) in meta-...
Regression analysis is a widely used approach in epidemiological analyses to investigate association...
The effect of a new treatment is proven through the comparison of a new treatment with placebo; howe...
Objectives: Most contemporary epidemiologic studies require complex analytical methods to adjust for...
ABSTRACTObjectivesHealth insurers, physicians, and patients worldwide need information on the compar...
ABSTRACTObjectivesMost contemporary epidemiologic studies require complex analytical methods to adju...
OBJECTIVES: The goal of comparative effectiveness analysis is to examine the relationship between tw...
ABSTRACTObjectivesThe goal of comparative effectiveness analysis is to examine the relationship betw...
Objective: To undertake a methodological review of statistical methods used in randomized controlle...
Clinical studies that use observational databases to evaluate the effects of medical products have b...
Causal inference methods are statistical techniques used to analyse the causal effect of a treatment...
Objectives: To consider methods and related evidence for evaluating bias in non-randomised intervent...
Abstract Background The availability of clinical and therapeutic data drawn from medical records and...
Besides data that is primarily collected for research, in biomedical research, multiple additional s...
To consider methods and related evidence for evaluating bias in non-randomised intervention studies....
Introduction Although interest in including non-randomised studies of interventions (NRSIs) in meta-...
Regression analysis is a widely used approach in epidemiological analyses to investigate association...
The effect of a new treatment is proven through the comparison of a new treatment with placebo; howe...
Objectives: Most contemporary epidemiologic studies require complex analytical methods to adjust for...
ABSTRACTObjectivesHealth insurers, physicians, and patients worldwide need information on the compar...
ABSTRACTObjectivesMost contemporary epidemiologic studies require complex analytical methods to adju...
OBJECTIVES: The goal of comparative effectiveness analysis is to examine the relationship between tw...
ABSTRACTObjectivesThe goal of comparative effectiveness analysis is to examine the relationship betw...
Objective: To undertake a methodological review of statistical methods used in randomized controlle...
Clinical studies that use observational databases to evaluate the effects of medical products have b...
Causal inference methods are statistical techniques used to analyse the causal effect of a treatment...
Objectives: To consider methods and related evidence for evaluating bias in non-randomised intervent...
Abstract Background The availability of clinical and therapeutic data drawn from medical records and...
Besides data that is primarily collected for research, in biomedical research, multiple additional s...
To consider methods and related evidence for evaluating bias in non-randomised intervention studies....
Introduction Although interest in including non-randomised studies of interventions (NRSIs) in meta-...
Regression analysis is a widely used approach in epidemiological analyses to investigate association...
The effect of a new treatment is proven through the comparison of a new treatment with placebo; howe...