Search PubMed⌕ Search

PubMed · 7995475

Guidelines for experimental studies.

Abstract

OBJECTIVES: The purpose of this document is to present guidelines for the training of researchers and for the planning of experiments that ensure optimum interaction and communication among the investigators and statisticians of the research team. METHODS: The protocol described in this document is designed to systematically guide a researcher through a sequence of planning steps and checkpoints to ensure proper experimental design, data management, statistical analyses, and interpretation. RESULTS: The investigator and the statistician, as a collaborative team, will be able to determine the most effective and appropriate procedures and tools necessary for the successful completion of a research project. SIGNIFICANCE: Planning an experimental study necessitates much thought. Lack of essential communication with a statistician in the initial stages of the experimental design can doom the experiment to failure. Flawed research studies may be associated with one or more of the following: failure of the established testable hypothesis, uncontrolled biases, insufficient sample size, lack of appropriate controls, variability in specimen preparation, improper calibration of instruments or standardization of measurements, incorrect data entries, inappropriate statistical analyses, errors in interpretation of statistical analyses, and erroneously drawn conclusions. Standard guidelines will eliminate many of these potential problems.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

J E Moorhead, P V Rao, K J Anusavice. 1994. Guidelines for experimental studies.. https://doi.org/10.1016/0109-5641(94)90021-3

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

What is research?

Explore the source record for details and available documents.

Data Collection↗

[Exchange of paraclinical information between the primary and secondary health sectors].

INTRODUCTION: The purpose of the study was to investigate the extent to which, biochemical test results obtained in the primary health sector could be regarded as valid information in the clinical assessment of patients admitted to hospital. METHODS: The study was based on a questionnaire, which was designed to assess the value of historical biochemical data in the initial diagnostic process. The data was transferred from the laboratory of Copenhagen general practitioners (KPLL) database to a computer terminal in the emergency medical ward at H:S Bispebjerg Hospital. RESULTS: It was possible to assess historical KPLL data on close to 80% of all hospitalised patients. In 50% of these patients, doctors indicated that the data always (96%) contributed to the diagnosis. In 70%, the data further contributed to the subsequent planning of diagnostic strategy. With regard to the initial diagnosis, comparison of KPLL data with data obtained on admission always resulted in a further classification of at least one condition. The comparison of KPLL data with admission data always led to a more precise plan for further diagnostic strategy. CONCLUSION: The comparison of KPLL data with admission data, significantly contributes to differentiate the initial diagnostic strategy. In turn, this seems to have a significant bearing on the planning of further diagnostic strategy. It is postulated that a computer-based information system, through which the primary and secondary health sectors can exchange patient-related clinical data, would lead to a more focused use of resources, and hold significant advantages for the patient.

Data Collection↗