Scandinavian journal of gastroenterology. Supplement
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Scand. J. Gastroenterol. Suppl. · Jan 1988
Comparative StudySingle case studies from a statistician's point of view.
In a clinical single case study the object is to decide whether a certain treatment has an intended effect on a certain patient. It is pointed out that the design should only be used in clinical situations where several rather strong assumptions are fulfilled. However, in these situations the design may be of significant value.
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In these speculations of the future in gastro-esophageal reflux a hope is expressed that gastro-esophageal reflux disease is accepted as a separate entity. Treatment and diagnosis should not be confused with those of ulcer disease. ⋯ The problem is mainly a leaking valve. Furthermore, the expression reflux like dyspepsia should be used when esophagitis or gastro-esophageal reflux disease is not established by endoscopy or pH-monitoring.
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Scand. J. Gastroenterol. Suppl. · Jan 1988
Comparative StudyExperience with a multi crossover model in dyspepsia.
A multi cross over model (MCOM) has been designed for single case studies. The model which is only partly randomized, implies regular interchanges between treatment periods with active drug and placebo. ⋯ The advantages of the single case approach and the impact of the MCOM is illustrated by the results from a study of the effect of cimetidine in non ulcer dyspepsia. Although there are several statistical objections to the model, the results from the study are reasonable and demonstrate a small degree of violence of preassumptions.
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Scand. J. Gastroenterol. Suppl. · Jan 1988
Comparative StudyStatistical issues in studies of individual response.
We consider intensive studies of individual response to therapy in a controlled experiment. It is helpful to distinguish between strict 'N = 1' studies, which are pragmatic trials intended to draw conclusions concerning only the patient under consideration, and 'N much greater than 1' studies, which are explanatory trials intended to make more general statements about a treatment with highly variable response, for which aggregate measures of effect on groups are inappropriate. Issues of design, measurement, and statistical significance are discussed, and the rule of permutation tests emphasised. Three published examples are used as illustrations.