155S7.1-2_3 Estimating a Population ProportionMarch
A population proportion is the share of a population that belongs to a particular category.Confidence intervals are used to estimate population proportions. Estimating Population ProportionsA statistic from a sample is used to estimate a parameter of the population....
In this paper, we consider the problem of estimating the population proportion in pair ranked set sampling design. An unbiased estimator for the population proportion is proposed, and its theoretical properties are studied. It is shown that the estimator is more (less) efficient than its ...
for each test [19,20,21,22,23,24] [sensitivity: proportion of people with cancer who have a positive test; FPR: proportion of people without cancer who have a positive test, but for cervical screening a false positive is when a woman has colposcopy but no underlying CIN 2 or 3 or inv...
Get PDF (283K) Keywords: Population proportion; Bias and mean squared error; Auxiliary information; Relative efficiency Abstract The problem of estimation of ratio of population proportions is considered and a difference-type estimator is proposed using auxiliary information. The bias and mean squared ...
Exact computation of minimum sample size for estimating proportion of finite population. arXiv:0707.2115v1 [math.ST - Chen - 2007 () Citation Context ... in Bayesian network [7] can be cast into the framework of estimating the means of Bernoulli variables. Clearly, Bernoulli variables can be...
The total size and age distribution of the adult male population (15–64 years) in the European countries included in the analysis were taken from Eurostat, and from national statistics for countries outside the European Union/European Free Trade Association (EU/EFTA) [9]. The proportion of ...
In populations of facultatively sexual organisms, the proportion of sexually produced offspring contributed to each generation is a critical determinant of their evolutionary potential. However, estimating this parameter in natural populations has proved difficult. Here we develop a population genetic model ...
The proportion of patients with BM at diagnosis is 0.3%, 1.5%, 1.3%, 0.3%, 16.0%, and 10.3% for breast cancer, melanoma, kidney cancer, CRC, SCLC, and NSCLC, respectively. The average AUC over 100 random splitting for the LR models is 0.9534 for breast cancer, 0.9420 for melanoma, ...
The PAPE, which compares the ITR with a treatment rule that randomly treats the same proportion of patients, was also computed [25]. Results showed that there was almost no benefit of using a personalizing strategy with INDANA. PAPE were all around 0 indicating the ITRs did not improve the...