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Examples include the CAHPS Health Plan Survey, [3] the CAHPS Hospital Survey (HCAHPS), [4] and the CAHPS Clinician & Group Survey (CG-CAHPS). [5] CAHPS surveys may be administered by phone and/or mail, depending on the certification of the vendor administering the survey.
Response-rate ratio is a measure of efficacy of therapy in clinical trials. It is defined as the proportion of improved patients in the treatment group, divided by the proportion of improved patients in the control group. [citation needed] The same term has been used in marketing. [1]
In behaviorism, rate of response is a ratio between two measurements with different units. Rate of responding is the number of responses per minute, or some other time unit. It is usually written as R. Its first major exponent was B.F. Skinner (1939). It is used in the Matching Law. R = # of Responses/Unit of time = B/t
The response factor can be expressed on a molar, volume or mass [1] basis. Where the true amount of sample and standard are equal: = where A is the signal (e.g. peak area) and the subscript i indicates the sample and the subscript st indicates the standard. [2]
Response rate may refer to: Response rate (medicine) – the percentage of patients whose cancer shrinks or disappears after treatment Response rate (survey) – the percentage of persons asked to answer a survey who actually answer
The average treatment effect (ATE) is a measure used to compare treatments (or interventions) in randomized experiments, evaluation of policy interventions, and medical trials. The ATE measures the difference in mean (average) outcomes between units assigned to the treatment and units assigned to the control.
All of the patients who met the eligibility criteria should be included in the main analysis of the response rate. Patients in response categories 4-9 should be considered as failing to respond to treatment (disease progression). Thus, an incorrect treatment schedule or drug administration does not result in exclusion from the analysis of the ...
An exponential moving average (EMA), also known as an exponentially weighted moving average (EWMA), [5] is a first-order infinite impulse response filter that applies weighting factors which decrease exponentially. The weighting for each older datum decreases exponentially, never reaching zero. This formulation is according to Hunter (1986). [6]