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Overall, replication studies including larger sample sizes of patients monitoring symptoms and automatically generated objective smartphone data for prolonged periods of time are needed to validate previous study findings.
In a study preprint published on PsyArXiv, researchers from University College London and King's College London continued work from 2017 that scoured medical records to find larger sample sizes of patients with Capgras syndrome to better understand it.
These studies had small sample sizes of patients with pCR and investigated different response levels.
The maximum and minimum sample sizes of patients were 222 and 19, respectively.
The studies we reviewed generally had a low risk of bias, but most had relatively small sample sizes of patients.
First, the sample sizes of patients and normal controls were large enough to ensure an association analysis.
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As a result, common effect sizes of patient satisfaction research are unknown.
First, the sample size of patients was small.
Genetic association studies are exposed to several biases, including phenotypic definition of the disease, adequate sample size of patients and controls, selection of the polymorphisms, and population stratification.
Maybe the random distribution of the patients and the small sample size of patients in ACV and CPAP modes can also explain these differences.
Finally, the small sample size of patients limited the number of variables entered in the multivariate analysis to three (SV, SAPS II and TBSA).
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