## Random Sample(随机抽样)研究综述

Random Sample 随机抽样 - Methods: This cross-sectional analysis included a random sample of 50 otolaryngology residency programs.^{[1]}This study uses empirical investigation of factors by conducting survey on random samples with people involved in demand planning role in CPG industry.

^{[2]}A random sample of RCTs included in meta-analyses in the PT discipline were identified.

^{[3]}The empirical research was conducted on a random sample of financial data of 1740 non-financial companies (580 companies that were declared bankrupt, 580 companies undergoing a restructuring, and 580 companies in a good financial condition) in 2015–2019.

^{[4]}METHODS One million individual dissolution profiles were simulated for the reference and test populations with predefined target population f2 values, where random samples of different sizes were drawn without replacement.

^{[5]}Within the epidemiology study ESSE-RF a random sample of 1600 St Petersburg inhabitants stratiﬁed according to gender and age was formed.

^{[6]}A representative nationwide observational study based on the simulated patient methodology (SPM) in the form of covert mystery calls will be conducted in a random sample of German CPs stratified according to the 16 federal states.

^{[7]}Methods: A web-based questionnaire study was performed on a random sample of 60 hospitals from the three most populated regions in Poland—Masovia, Silesia, and Greater Poland.

^{[8]}A random sample of students living on the campus underwent phone interviews during the 2007 & 2015 academic years.

^{[9]}Mathematically, given a random sample of points from some unknown distribution, we establish a new data-driven method for estimating its probability support S in general dimension.

^{[10]}We collect detailed trip-level data for 7 million trips associated with a random sample of 17,400 drivers over a 10-month period from two geographically proximate cities, one with surge pricing introduced and the other without.

^{[11]}On a bi-weekly basis, a trainee pharmacist reviewed a random sample of eligible patients’ charts to assess if PPI prescriptions were guideline-concordant; a recommendation to de-implement non-guideline-concordant PPI therapy was sent when applicable.

^{[12]}To assess the cumulative probability of failure in a way that minimizes the overall computational complexity, the number of random samples at each level is optimized.

^{[13]}Two observers assessed a random sample of 100 subjects to evaluate the inter- and intra observer reproducibility.

^{[14]}Methods and Results Baseline plasma ω3‐PUFA composition (α‐linolenic acid, eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) was assessed through gas chromatography with flame ionization detection in a case‐cohort study involving 203 patients with cardiovascular death, 325 with myocardial infarction, 271 with ventricular tachycardia, and 161 with atrial fibrillation, and a random sample of 1612 event‐free subjects as controls from MERLIN‐TIMI 36 (Metabolic Efficiency With Ranolazine for Less Ischem