Increasing efficiency in evaluation research
The use of sequential analysis
Bibliographic Data
| ID | 11026546 |
|---|---|
| Authors | Holly L Howe (corresponding author) |
| Year | 1982 |
| Volume | 72 |
| Issue | 7 |
| Pages | 690-697 |
| Publication date | 1982-07-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Journal of Public Health (JOURNAL) |
| Journal identifiers | ISSN: 0090-0036 • E-ISSN: 1541-0048 |
| Publisher | American Public Health Association (PUBLISHER • US) |
| DOI | 10.2105/ajph.72.7.690 |
| PMID | 7091459 |
| OpenAlex | W2043635254 |
| Language | EN |
| References cited | 7 |
This paper describes Wald's sequential analysis and briefly reviews the history of its applied use. Two public health applications are presented as examples of how the method helped overcome two common problems associated with evaluation research. In one case, the sequential technique reduced dramatically the workload in an evaluation project where hospital records were being reviewed. In the second case, prompt feedback of data to a breast screening program was facilitated by the sequential method allowing program administrators to refocus their efforts on problem areas before the end of the funding period. On the average, Wald's sequential method results in a savings of 50 per cent in observations as compared to classical sampling procedures. The sample sizes will always terminate with a finite number and will rarely exceed three times the average sample size for any single sample
Operations research · Public health · Sample (material) · Sample size determination · Sampling (signal processing) · Sequential analysis · Sequential sampling · Statistics · Telecommunications · Workload · Computer Science · Healthcare Operations and Scheduling Optimization · Mathematics · Medicine · Nursing · Statistical Methods and Bayesian Inference · Statistical Methods in Clinical Trials
| Citation velocity | historical |
|---|---|
| Highly cited | No |