Pain After Laparoscopy: An Observational Study and a Randomized Trial of Local Anesthetic

1994 ◽  
Vol 10 (3) ◽  
pp. 129-138 ◽  
Author(s):  
NICHOLAS JOHNSON ◽  
JOSEPH L. ONWUDE ◽  
JAN PLAYER ◽  
NICKY HICKS ◽  
ALAN YATES ◽  
...  
2019 ◽  
Author(s):  
M. Lipsitch ◽  
E. Goldstein ◽  
G.T. Ray ◽  
B. Fireman

SUMMARYVaccine effectiveness (VE) studies are subject to biases due to depletion of at-risk persons or of highly susceptible persons at different rates from different groups (depletion-of-susceptibles bias), a problem that can also lead to biased estimates of waning effectiveness, including spurious inference of waning when none exists. An alternative study design to identify waning is to study only vaccinated persons, and compare for each day the incidence in persons with earlier or later dates of vaccination. Prior studies suggested under what conditions this alternative would yield correct estimates of waning. Here we define the depletion-of-susceptibles process formally and show mathematically that for influenza vaccine waning studies, a randomized trial or corresponding observational study that compares incidence at a specific calendar time among individuals vaccinated at different times before the influenza season begins will not be vulnerable depletion-of-susceptibles bias in its inference of waning under the null hypothesis that none exists, and will – if waning does actually occur – underestimate the extent of waning. Such a design is thus robust in the sense that a finding of waning in that inference framework reflects actual waning of vaccine-induced immunity. We recommend such a design for future studies of waning, whether observational or randomized.


PLoS ONE ◽  
2017 ◽  
Vol 12 (2) ◽  
pp. e0171087 ◽  
Author(s):  
Bettina Boerner ◽  
Gabrielo M. Tini ◽  
Patrick Fachinger ◽  
Sereina M. Graber ◽  
Sarosh Irani

2007 ◽  
Vol 60 (3) ◽  
pp. 280-287 ◽  
Author(s):  
Klaus Linde ◽  
Andrea Streng ◽  
Andrea Hoppe ◽  
Wolfgang Weidenhammer ◽  
Stefan Wagenpfeil ◽  
...  

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