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Predicting hemoglobin levels in whole blood donors using transition models and mixed effects models

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References

2010Analysis of Financial Time Series1,035 cited
2005Using autoregressive integrated moving average (ARIMA) models to predict and monitor the number of beds occupied during a SARS outbreak in a tertiary hospital in Singapore189 cited
2007The consequences of temporary deferral on future whole blood donation185 cited
1998The effect of short‐term, temporary deferral on future blood donation156 cited
2005Hemoglobin screening in prospective blood donors: Comparison of different blood samples and different quantitative methods71 cited
2009Capillary and venous haemoglobin levels in blood donors: a 42-month study of 36 258 paired samples59 cited
2007Evaluation of four rapid methods for hemoglobin screening of whole blood donors in mobile collection settings53 cited
2012Development and validation of a prediction model for low hemoglobin deferral in a large cohort of whole blood donors43 cited
2007Seasonal influences on hemoglobin levels and deferral rates in whole‐blood and plasma donors38 cited
2010Prediction of low haemoglobin levels in whole blood donors34 cited

Cited by

2016Season and time of day affect capillary blood hemoglobin level and low hemoglobin deferral in blood donors: analysis in a national blood bank17 cited
2022Ferritin Trajectories over Repeated Whole Blood Donations: Results from the FIND+ Study10 cited
2023Impact of a post‐donation hemoglobin testing strategy on efficiency and safety of whole blood donation in England: A modeling study

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6 cited