PubMed · 15654014
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Jean-Pierre Frat. 2005. Obesity in ICU patients: increase or decrease in mortality?. https://doi.org/10.1378/chest.127.1.414
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We propose an extension of the Harezlak and Heckman (J. Comput. Graph. Statist. 2001; 10(4): 713-729) test for detecting local extrema to the longitudinal data setting. We use penalized spline regression techniques (Statist. Sci. 1996; 11:89-102) to provide a computationally efficient method of testing for relatively large data sets. We estimate the p-values of our test, LongCriSP, with a smoothed bootstrap. Our simulation studies indicate that the test is generally conservative and has power exceeding 70 per cent at the alpha = 0.1 nominal level in most considered settings. Finally, we apply our testing procedure to the longitudinal measurements of body mass index of former prisoners of war in Vietnam and conclude that the mean population curve exhibits non-monotone behaviour.
We present a study of the pressures developed at the bony prominences (greater trochanter, iliac crest and sacrum) when a pelvic binder was applied to 10 healthy individuals. The pressures developed between the pelvic binder and the skin over the prominences were all greater than the pressure recommended at interfaces to avoid the development of pressure sores. This suggests that patients with pelvic fractures who are treated with temporary pelvic binders are at risk of developing pressure sores. This should be recognised and the skin inspected if the binder is to be in place for a prolonged period.
OBJECTIVE: Although repeated-measures designs are increasingly common in research on psychosomatic medicine, they are not well suited to the conventional statistical techniques that scientists often apply to them. The goal of this article is to introduce readers to mixed regression models, which provide a more flexible and accurate framework for managing repeated-measures data. METHODS AND RESULTS: We begin with a summary of the advantages that mixed regression models have over conventional statistical techniques in the context of repeated-measures designs. Next, we outline the conceptual and mathematical underpinnings of mixed regression models for a nonstatistical audience. The article ends with two examples of how these models can be applied in psychosomatic research; one deals with a prospective investigation of depressive symptoms and change in body mass index in older adults and the other with a diary study of social interactions and cortisol secretion. CONCLUSIONS: Mixed regression models offer a flexible and powerful approach to analyzing repeated-measures data. They possess important advantages over more traditional strategies, and more widespread application of these models is likely to enhance the overall quality of psychosomatic research.