Biomaterial Database

Statistical methods for cost-effectiveness analyses. 1996

C Siegel, and E Laska, and M Meisner

Statistical Sciences and Epidemiology Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA.

A statistical framework is presented for examining cost and effect data on competing interventions obtained from an RCT or from an observational study. Parameters of the join distribution of costs and effects or a regression function linking costs and effects are used to define cost-effectiveness (c-e) measures. Several new c-e measures are proposed that utilize the linkage between costs and effects on the patient level. These measures reflect perspectives that are different from those of the commonly used measures, such as the ratio of expected cost to expected effect, and they can lead to different relative rankings of the interventions. The cost-effectiveness of interventions are assessed statistically in a two stage procedure that first eliminates clearly inferior interventions. Members of the remaining admissible set are then rank ordered according to a c-e preference measure. Statistical techniques, particularly in the multivariate normal case, are given for several commonly used c-e measures. These techniques provide methods for obtaining confidence intervals, for testing the hypothesis of admissibility and for the equality of interventions, and for ranking interventions. The ideas are illustrated for a hypothetical clinical trial of antipsychotic agents for community-based persons with mental illness.

UI	MeSH Term	Description	Entries
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D012107	Research Design	A plan for collecting and utilizing data so that desired information can be obtained with sufficient precision or so that an hypothesis can be tested properly.	Experimental Design,Data Adjustment,Data Reporting,Design, Experimental,Designs, Experimental,Error Sources,Experimental Designs,Matched Groups,Methodology, Research,Problem Formulation,Research Methodology,Research Proposal,Research Strategy,Research Technics,Research Techniques,Scoring Methods,Adjustment, Data,Adjustments, Data,Data Adjustments,Design, Research,Designs, Research,Error Source,Formulation, Problem,Formulations, Problem,Group, Matched,Groups, Matched,Matched Group,Method, Scoring,Methods, Scoring,Problem Formulations,Proposal, Research,Proposals, Research,Reporting, Data,Research Designs,Research Proposals,Research Strategies,Research Technic,Research Technique,Scoring Method,Source, Error,Sources, Error,Strategies, Research,Strategy, Research,Technic, Research,Technics, Research,Technique, Research,Techniques, Research
D003362	Cost-Benefit Analysis	A method of comparing the cost of a program with its expected benefits in dollars (or other currency). The benefit-to-cost ratio is a measure of total return expected per unit of money spent. This analysis generally excludes consideration of factors that are not measured ultimately in economic terms. In contrast a cost effectiveness in general compares cost with qualitative outcomes.	Cost and Benefit,Cost-Benefit Data,Benefits and Costs,Cost Benefit,Cost Benefit Analysis,Cost-Utility Analysis,Costs and Benefits,Economic Evaluation,Marginal Analysis,Analyses, Cost Benefit,Analysis, Cost Benefit,Analysis, Cost-Benefit,Analysis, Cost-Utility,Analysis, Marginal,Benefit and Cost,Cost Benefit Analyses,Cost Benefit Data,Cost Utility Analysis,Cost-Benefit Analyses,Cost-Utility Analyses,Data, Cost-Benefit,Economic Evaluations,Evaluation, Economic,Marginal Analyses
D004341	Drug Evaluation	Any process by which toxicity, metabolism, absorption, elimination, preferred route of administration, safe dosage range, etc., for a drug or group of drugs is determined through clinical assessment in humans or veterinary animals.	Evaluation Studies, Drug,Drug Evaluation Studies,Drug Evaluation Study,Drug Evaluations,Evaluation Study, Drug,Evaluation, Drug,Evaluations, Drug,Studies, Drug Evaluation,Study, Drug Evaluation
D006302	Health Services Research	The integration of epidemiologic, sociological, economic, and other analytic sciences in the study of health services. Health services research is usually concerned with relationships between need, demand, supply, use, and outcome of health services. The aim of the research is evaluation, particularly in terms of structure, process, output, and outcome. (From Last, Dictionary of Epidemiology, 2d ed)	Health Care Research,Medical Care Research,Research, Health Services,Action Research,Health Services Evaluation,Healthcare Research,Research, Medical Care,Evaluation, Health Services,Evaluations, Health Services,Health Services Evaluations,Research, Action,Research, Health Care,Research, Healthcare
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012559	Schizophrenia	A severe emotional disorder of psychotic depth characteristically marked by a retreat from reality with delusion formation, HALLUCINATIONS, emotional disharmony, and regressive behavior.	Dementia Praecox,Schizophrenic Disorders,Disorder, Schizophrenic,Disorders, Schizophrenic,Schizophrenias,Schizophrenic Disorder
D014150	Antipsychotic Agents	Agents that control agitated psychotic behavior, alleviate acute psychotic states, reduce psychotic symptoms, and exert a quieting effect. They are used in SCHIZOPHRENIA; senile dementia; transient psychosis following surgery; or MYOCARDIAL INFARCTION; etc. These drugs are often referred to as neuroleptics alluding to the tendency to produce neurological side effects, but not all antipsychotics are likely to produce such effects. Many of these drugs may also be effective against nausea, emesis, and pruritus.	Antipsychotic,Antipsychotic Agent,Antipsychotic Drug,Antipsychotic Medication,Major Tranquilizer,Neuroleptic,Neuroleptic Agent,Neuroleptic Drug,Neuroleptics,Tranquilizing Agents, Major,Antipsychotic Drugs,Antipsychotic Effect,Antipsychotic Effects,Antipsychotics,Major Tranquilizers,Neuroleptic Agents,Neuroleptic Drugs,Tranquillizing Agents, Major,Agent, Antipsychotic,Agent, Neuroleptic,Drug, Antipsychotic,Drug, Neuroleptic,Effect, Antipsychotic,Major Tranquilizing Agents,Major Tranquillizing Agents,Medication, Antipsychotic,Tranquilizer, Major
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model
D015999	Multivariate Analysis	A set of techniques used when variation in several variables are studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables.	Analysis, Multivariate,Multivariate Analyses