Random sequence generation and allocation concealment (selection bias)
Eliminating Bias in Randomized Controlled Trials: Importance of Allocation Concealment and Masking
... than generation of a random sequence by which to assign ...randomization sequence must be adequately protected (concealed) so that investigators, involved health care pro- viders, and subjects ...
6
Risk of bias judgments for random sequence generation in Cochrane systematic reviews were frequently not in line with Cochrane Handbook
... (biased allocation to inter- ventions) due to inadequate generation of a randomised sequence; selection bias (biased allocation to interven- tions) due to inadequate concealment of ...
10
Manipulating attentional load in sequence learning through random number generation
... that sequence learning was systematically impaired when an RNG task was used as a secondary ...expressing sequence knowledge even under dual-task ...
17
Allocation Concealment in Randomised Controlled Trials : Could do Better
... computer random number generator to generate a list of codes from 1 to 994 and each code was linked to one of the two study ...a random allocation, were prepared at the coordinating centre, and later ...
17
Subversion of allocation concealment in a randomised controlled trial : a historical case study
... inadequate concealment rather than with the generation of the ...the allocation can be prematurely revealed before formal trial entry when sealed envelopes are ...desired allocation is found, ...
7
Subversion of allocation concealment in a randomised controlled trial: a historical case study
... inadequate concealment rather than with the generation of the ...the allocation can be prematurely revealed before formal trial entry when sealed envelopes are ...desired allocation is found, ...
6
Parallel random number generation
... generating random numbers and saving them in an array in ...sequential generation of numbers. Each thread stores numbers generated in sequence in a contiguous part of ...
75
Neural AMR: Sequence to Sequence Models for Parsing and Generation
... Second, we propose a preprocessing procedure for the AMR graphs, which includes anonymizing entities and dates, grouping entity categories, and encoding nesting information in concise ways, as illustrated in Figure 2(d). ...
12
Denoising based Sequence to Sequence Pre training for Text Generation
... The training procedure terminates if the learning rate drops below 10 − 4 . Exponential moving av- erage (EMA) with decay rate 0.9995 is used to make the training stabilized. At inference time, we use standard beam ...
13
Celestial sources for random number generation
... The output of this process was then written to a binary file for testing purposes. The first set of tests performed on our data were completed in R, version 3.3.1, which offers several libraries for the analysis of ...
10
Multiplexed Quantum Random Number Generation
... by generation[24] or detection[25] ...and random- ness distribution at rates faster than a single channel ...weakly random physical source, produce a shorter sequence of truly random ...
6
Multiscopic HDR image sequence generation
... 2D domain cannot be used for 3D HDR content cre- ation without introducing visible artifacts. Our novel approach is extending the well known Patch Match al- gorithm, introducing an improved random search func- ...
10
Random Allocation Software for Parallel Group Randomized Trials
... of sequence generation, ...generated random list or random number table. After preparing a random sequence, subjects will be allocated to the trial groups using an implementation ...
12
Random allocation software for parallel group randomized trials
... or random variation in block number or size). The generated random list is in the form of UI and group name pairs, formatted in a single column, which in cases of large sample sizes may require further work ...
6
Unlabeled Data for Morphological Generation With Character Based Sequence to Sequence Models
... (i) The decoder’s character language model can be trained using unlabeled data. (ii) Training on a second task reduces the problem of overfitting. (iii) By forcing the model to additionally learn au- toencoding, we give ...
6
NQD RANDOM VARIABLES SEQUENCE
... NQD RANDOM VARIABLES SEQUENCE Guang-hui Cai ...a sequence of pairwise NQD random ...sums sequence of pairwise NQD random variables are ...
8
Random-Number Generation
... 1. A complex set of operations leads to random results. It is better to use simple operations that can be analytically evaluated for randomness. 2. A single test, such as the chi-square test, is sufficient to test ...
46
CiteSeerX — Random Arc Allocation and Applications
... Performance guarantees for random starting points need not merely be pre- dictions for the average case if we randomize the mapping of logical blocks to physical positions. Here is one scheme with particular ...
10
Random Sampling and Allocation Using SPSS
... resulting variable filter_$ to GEN to denote the group allocation in generic group. A value of 1 is for being in generic group while a value of 0 is for being in other group. Go back to Select Cases dialog box to ...
15
Random Generation of Czech Sentences
... RANDOM GENERATION OF CZECH SENTENCES COLING 82, i Horeck) led ) North Holland Publishing Company ? Academia 1982 RANDOM GENERATION OF CZECH SENTENCES Jarmila Panevov~ Department of Applied Mathematics[.] ...
6