This methodology is fraught with limitations as it provides one time observation and includes tissue damage, toxicity, laborious technical procedures, as well as tangential assessment of disease pathophysiology.
Furthermore, such reports were based entirely on one-time observations in clinics delivering ART, usually when such clinics were in their early stages, with staff still being relatively inexperienced.
Moreover, one-time observations have been shown to have virtually no impact on faculty teaching, aside from influencing textbook selection (Spencer and Flyr, 1992), and may even lead to erroneous inferences (Weimer, 2002).
Ongoing monitoring of eucalypt decline during recent droughts in eastern Australia, together with extensive one-time observations across temperate Australia, provided opportunities to further examine some hypotheses of decline and dieback that were largely based on retrospective investigations.
This procedure is appealing when only one-time observations of crown size are available, the usual situation with forest inventory data.
Video enables the capture of details that a one-time observation might miss, so data can be reviewed multiple times, or allow for access to non-verbal matters, such as facial expressions, intonation or stance-taking (Cohen et al., 2011; Derry et al. 2010; Knoblauch 2009).
First, it would take much more than a simple one-time observation of anything, and, second, we would have to change many other beliefs as well.
At one time, keen observation and the judicious laying on of hands were virtually the only diagnostic tools a doctor had.
Two participants dropped out on day 7 without explanation, but they received treatment and also completed one time point observation.
Probe sets with at least one time point observation above or below 2 fold change compared to week 1, were considered in the clustering analysis and summed to a total of 2322 for the sham operated group and to 3516 for the immobilization group (Fig. 1).
Most multivariate statistical monitoring methods based on principal component analysis (PCA) assume implicitly that the observations at one time are statistically independent of observations at past time and the latent variables follow a Gaussian distribution.
