Statistical methods for cost-effectiveness analysis (CEA) for two treatments that mimic the deterministic optimal rules of CEA are presented. In these rules the objective is to determine the treatment with the maximal effectiveness whose unit cost is less than an amount, lambda, that a decision-...
To determine the effectiveness of chiropractic treatment for patients with low back pain by means of a systematic review of the literature.Randomized clinical trials (RCTs) on chiropractic were identified with a Medline and Embase search (1966-1995), by citation tracking, and by hand searching of...
The design of a cost-effectiveness study for two competing treatments will require assessments of statistical power and sample size in demonstrating both effectiveness and/or cost-effectiveness. If the level of effectiveness of one treatment is known from a clinical trial, the next step is to ...
Economic benefits were derived from client self-reported information at treatment... MT French,HJ Salome,A Krupski,... - 《Eval Rev》 被引量: 137发表: 2000年 Statistical issues in cost-effectiveness analyses Data Interpretation, StatisticalModels, EconometricCost-Benefit AnalysisHealth Services ...
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Statistical Thinking for Non‐Statisticians in Drug Regulation It is widely accepted that the randomised controlled trial has the potential to provide the best evidence for the effectiveness of a new treatment. There can be some special circumstances however where conducting a randomised trial is pr....
for cancer, make correct diagnoses of certain types of cancer earlier, determine which cancer treatment options are best, and assess the effectiveness of a given treatment course. Testing cancer cells for specific gene or protein changes or biomarkers can impact options for treating ...
Accordingly, the statistical hypothesis test for validating the effectiveness of improvement is displayed as follows: null hypothesis 𝐻0: 𝜃𝑆𝑏𝑖=𝜃𝑆𝑎𝑖;null hypothesis H0: θbiS=θaiS; (38) alternative hypothesis 𝐻1: 𝜃𝑆𝑏𝑖≠𝜃𝑆𝑎𝑖.alternative hypothesis ...
Historical data (HD) are being used increasingly in Bayesian analyses when it is difficult to randomize enough patients to study effectiveness of a treatment. Such analyses summarize observational studies' posterior effectiveness distribution (for two-arm HD) or standard-of-care outcome distribution (fo...
Therefore, highly automated and powerful bioinformatics tools for personalized health status inference are expected to translate the composition of the human microbiome into useful clinical indications for non-invasive wellness monitoring, diagnosis, and treatment [6, 7]. Typically, these high-throughput ...