Type II Error: The probability of making a Type II error is usually designated byβ(beta). We should decide the value ofβthat we consider acceptable in the design stage of the experiment, this value is affected by a series of factors, one of which is the size of the sample. ...
2. Conditional probability truth degree of formulas in continuous value propositional logic system 连续值命题逻辑系统中公式的条件概率真度 3. The definition of truth degree in the classic two-valued proposition logic formula is populared to the uneven probability space whose power is 2,and two-valu...
2). Figure 2 Life-course trajectories of weight categories by sex. The y-axis represents the probability of belonging to each weight category (lean, normal weight and overweight) estimated using group-based trajectory models. The predicted proportion of the population in each trajectory group is ...
where\({R}_{t}=\mathop{\sum }\nolimits_{i=0}^{T-t}{\gamma }^{i}{r}_{t+i}\)is the accumulated discount reward;\(\gamma\)is the discount ratio;\({\hat{R}}_{t}\)is a value derived from the patient model; and\(\pi ({a|}{s}_{t})\)represents the probability of ta...
To assess the replicability of FC, we quantified how often one would draw inconsistent conclusions about a significant DE gene being upregulated (type S error [Gelman and Carlin 2014]). For example, given a gene with FC = 2 (strongly upregulated), what is the probability that this gene wi...
Bradykinin type 2 receptor (B2BRK) genotype was reported to be associated with changes in the left-ventricular mass as a response to aerobic training, as well as in the regulation of the skeletal muscle performance in both athletes and non-athletes. However, there are no reports on the effect...
2 . For example, for k=4 populations, there are C=6=4(4-1)/2 pairs of populations; and for a = 0.01 we have from the formula – aFW=0.0585 – that is, the probability of family-wise type I error is much higher than the probability of comparison-wise type I errors. See also:...
rhc$pRhc <- predict(psModel, type = "response") Error in $<-.data.frame(*tmp*, pRhc, value = c(1100109 = 0.82757271771222, : replacement has 418 rows, data has 448
where \({p}_{0}\) is the observed proportionate variable and \({p}_{e}\) is the hypothetical probability of chance variable. To calculate \({p}_{e}\), we use the observed data to calculate the probabilities of each observer randomly seeing each category. In this formula, the weight...
Therefore, to better predict the risk of combined hypertension in patients with type 2 diabetes, we constructed a hypertension risk nomogram prediction modeAThe nomogram is a visual tool for predicting the probability of occurrence of events based on statistical models with multiple factors28. Over ...