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Repeated measures design: A research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] Paired t-test, Wilcoxon signed-rank test
The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...
Data collection methods must be considered in research planning, because it highly influences the sample size and experimental design. Data collection varies according to type of data. For qualitative data , collection can be done with structured questionnaires or by observation, considering presence or intensity of disease, using score ...
BioSamples (BioSD) is a database at European Bioinformatics Institute for the information about the biological samples used in sequencing. [1]It stores submitter-supplied metadata about the biological materials from which data stored in the National Center for Biotechnology Information’s (NCBI) primary data archives are derived.
Dryad: repository of data underlying scientific publications in the basic and applied biosciences; Edinburgh Mouse Atlas; EPD Eukaryotic Promoter Database; FINDbase (the Frequency of INherited Disorders database) GigaDB: repository of large scale datasets underlying scientific publications in the biological and biomedical research
The use of a sequence of experiments, where the design of each may depend on the results of previous experiments, including the possible decision to stop experimenting, is within the scope of sequential analysis, a field that was pioneered [12] by Abraham Wald in the context of sequential tests of statistical hypotheses. [13]
Second, systemic biases, which may arise from researcher biases or the nature of the biological data, may threaten the validity of research results. Third, the presence of data mining in biological databases can make it easier for individuals with political, social, or economic agendas to manipulate research findings to sway public opinion. [13 ...
Design description is given in terms of several properties of various bridges. Various bridge features are given. 108 Text Classification 1990 [207] [208] Y. Reich et al. Automobile Dataset Data about automobiles, their insurance risk, and their normalized losses. Car features extracted. 205 Text Regression 1987 [209] [210] J. Schimmer et al.