样本量测定                        
                
                                
                        
                            计算机科学                        
                
                                
                        
                            样品(材料)                        
                
                                
                        
                            比例(比率)                        
                
                                
                        
                            管理科学                        
                
                                
                        
                            统计                        
                
                                
                        
                            运筹学                        
                
                                
                        
                            数据科学                        
                
                                
                        
                            数学                        
                
                                
                        
                            工程类                        
                
                                
                        
                            色谱法                        
                
                                
                        
                            量子力学                        
                
                                
                        
                            物理                        
                
                                
                        
                            化学                        
                
                        
                    
                    
        
    
            
            标识
            
                                    DOI:10.1016/j.fertnstert.2024.01.040
                                    
                                
                                 
         
        
                
            摘要
            
            Pilot studies, when properly designed and implemented, are an important tool that provide critical information for the development and potential success of a subsequent, larger trial. In fact, these small-scale studies are commonly used to assess the feasibility of whether a larger trial should be initiated. A popular investigator question is whether a pilot study requires a formal statistical power calculation. In general, the answer is "no"; however, the sample size needs to be justified on the basis of the goal of the pilot study.
         
            
 
                 
                
                    
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