small sample sizes
Prediction intervals for reliability growth models with small sample sizes
... as sample size increase, the degree of underestimation arising from the use of confidence rather than prediction intervals will be less for large sample sizes compared with small sample ...
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Error and bias in under-5 mortality estimates derived from birth histories with small sample sizes
... In this paper, we aimed to determine how much error and/or bias can be expected in under-5 mortality esti- mates derived from both types of birth histories at various small sample sizes. To this end, ...
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Seeking genetic signature of radiosensitivity - a novel method for data analysis in case of small sample sizes
... The proposed strategy for data analysis, which is a combination of mathematical mod- elling and data mining techniques, allows for the discovery of candidate, trait relevant SNPs in the case of small sample ...
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What’s in a Coefficient? The “Not so Simple” Interpretation of R2, for Relatively Small Sample Sizes
... In addition, there has been extensive work in the Biostatistics area with regard to correlation and simple linear regression, and on the use of relatively small sample sizes. An example of this is ...
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Novel analytical methods to interpret large sequencing data from small sample sizes
... Background: Targeted therapies have greatly improved cancer patient prognosis. For instance, chronic myeloid leukemia is now well treated with imatinib, a tyrosine kinase inhibitor. Around 80% of the patients reach ...
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Comparing the simulated power of discrete goodness-of-fit tests for small sample sizes
... uniform null against alternative trend type distributions (Choulakian et al., 1994; Pettitt and Stephens 1977). Only a limited amount of research has been conducted into the powers of these, and other discrete GOF test ...
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Item response theory model with testlet effects: A simulation study investigation of effectiveness in small sample sizes
... In order to determine the conditions that could be used in the study, preliminary tests were performed. The goal was to find the lower limits at which the algorithm under the conditional testlet model still produces ...
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Confidence intervals for reliability growth models with small sample sizes
... The main purpose for this model is to support inference in situations where failure data are few. A procedure for providing statistical confidence intervals is investigated and shown to be suitable for small ...
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The effect of statistical error model formulation on the fit and selection of mathematical models of tumor growth for small sample sizes
... In general, to estimate mathematical model parameters, the amount of data and informa- tion content in the data are crucial. Using the breast and lung tumor data sets, we observed that one can only estimate at most two ...
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Estimating the Context Effect in a Multilevel Latent Model with Small Sample Sizes: A Monte Carlo Simulation Study
... within-cluster sample is regarded as a sample from a larger population, the multilevel latent model, rather than the traditional multilevel model, should be used to estimate the context ...the sample ...
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Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes
... a small number of terms from the asymptotic expansion of the evidence would be increasingly accurate as N → ∞, individual expan- sion coefficients may be significant due to the large data dimensionality ...finite ...
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Epidemiological Studies Based on Small Sample Sizes – A Statistician's Point of View
... (random) sample of sub- jects to make inferences about the relevant pop- ...a small data set even small changes in the analysis and/or changes in the data set might inflate the ...difference. ...
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Small area estimation under informative probability sampling of areas and within the selected areas
... the sample selection. In theory, the effect of the sample selection can be controlled by including among the model covariates all the design variables used for the sample ...the small ...
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Muscle dysmorphia: current insights
... The investigations reviewed earlier identify some inconsistent findings (from a theoretical perspective) that may reflect control group variation, small sample sizes, and descriptive research design. ...
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Translation and validation of non-English versions of the Ankylosing Spondylitis Quality of Life (ASQOL) questionnaire
... Consequently, small sample sizes were observed in some countries, which precluded the completion of cer- tain analyses for those ASQOL language ...acceptable sample sizes (US and ...
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A meta-analysis of the association between IL28B polymorphisms and infection susceptibility of hepatitis B virus in Asian population
... with small sample sizes of two SNPs in IL28BB (rs12979860 and rs8099917) showed inconsistent results, so in this study, we aim to evaluate the association between the two SNPs and infection ...
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Sampling Error Estimation in Stratified Surveys
... mator (based on leaving out one sample datum) was competitive although yielded worse results than the jackknife 3 with small sample sizes. Both variants of the jackknife 2 estimator (based on ...
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Maintaining efficacy in the treatment of diabetic peripheral neuropathic pain: role of duloxetine
... Unfortunately, treatment algorithms for painful diabetic neuropathy are based upon clinical experience and pooled data from trials with relatively small sample sizes, nonstan- dardized markers of ...
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Systematic review of the impact of feed protein type and degree of hydrolysis on gastric emptying in children
... emptying in children exist, it would have made any com- parisons difficult due to the difference in measurement techniques and varying reliability. Further limitations of this systematic review which reduces its ability ...
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NORMALITY AND DATA TRANSFORMATION FOR APPLIED STATISTICAL ANALYSIS
... Licensed under Creative Common Page 11 statistical tests for normality are also useful for small sample sizes. A careful consideration of normality and data transformation will hopefully result in ...
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