共 129 条
[1]
Heymans MW(2022)Handling missing data in clinical research J Clin Epidemiol 151 185-188
[2]
Twisk JWR(2012)The prevention and treatment of missing data in clinical trials N Engl J Med 367 1355-1360
[3]
Little RJ(2019)Impact of missing data on bias and precision when estimating change in patient-reported outcomes from a clinical registry Health Qual Life Outcomes 17 106-229
[4]
D'Agostino R(2022)Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review J Clin Epidemiol 142 218-732
[5]
Cohen ML(2021)A survey on missing data in machine learning J Big Data 8 140-162
[6]
Dickersin K(2012)Missing data: a systematic review of how they are reported and handled Epidemiology (Cambridge, Mass) 23 729-115
[7]
Emerson SS(2014)On the joys of missing data J Pediatr Psychol 39 151-576
[8]
Farrar JT(2010)Missing data imputation using statistical and machine learning methods in a real breast cancer problem Artif Intell Med 50 105-2664
[9]
Frangakis C(2022)Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry Comput Biol Med 145 105449-322
[10]
Hogan JW(2019)How handling missing data may impact conclusions: a comparison of six different imputation methods for categorical questionnaire data SAGE Open Med 7 2050312118822912-2700