In this second part of the book, this approach is applied to different types of outcome variables. In this first chapter of Part II, we focus on dichotomous outcome variables. Examples of dichotomous variables are pass/fail decisions in tests, recover/failure to recover distinctions in mental ...
Outcome variables were baseline visual impairment, visual improvement after treatment, and visual deterioration after treatment; their operative definitions were: best corrected visual acuity <0.3 logMAR (20/40 Snellen) before treatment, the gain of at least one line of vision three weeks after focal ...
Twitter Google Share on Facebook outcome (redirected fromnursing outcome) Thesaurus Medical Related to nursing outcome:Nursing Outcomes Classification out·come (out′kŭm′) n. An end result; a consequence. See Synonyms ateffect. American Heritage® Dictionary of the English Language, Fifth Editio...
The result of this experiment is a set ofoutcomes. Tossing a coin has two possible outcomes: either the coin will land head side up or the tail side up. Aneventoccurs when one of these two possible outcomes is achieved. Here are some examples of experiments, possible outcomes, and events...
Examples include the Avon Longitudinal Study of Parents and Children [21] and the Gateshead Millenium Study [22]. In some cohorts, follow up rates remain an issue, and most have only been tracked into childhood. Large-scale epidemiologic studies have provided a wealth of information on early ...
We provide further details on the latter two examples in the “Case study: SV95C for Duchenne muscular dystrophy” and “Case study: time spent in MVPA for pulmonary hypertension associated with fibrotic interstitial lung disease” sections. The limited number of regulatory approved digital outcome ...
Since a multiplicative-error approximation is significantly more powerful than an additive-error one and only a few examples have been known24,25,26, such findings have interesting applications in computational complexity. In this work, we provide algorithms specialized for approximating the outcome ...
[Math Processing Error]\unicode[Times]x03C3c2 was also reduced for normally distributed variables when the scale was calibrated to the variance expected within the population, with more homogeneous populations needing more sensitive scales. This shows the importance of using a measure calibrated to ...
All models adjusted for sociodemographic characteristics (age, sex, race/ethnicity, annual household income, total wealth, level of education, employment status, health insurance, geographic region), pre-baseline childhood abuse, pre-baseline values of the outcome variables (diabetes, hypertension, ...
PROMs at an individual level requires a trade-off between scientific precision and clinical usefulness, and critical thinking must be applied to all sources of information informing thehealth statusof the individual. Exploring the performance of PROMs alongside other clinical variables is central to ...