2013
DOI: 10.1177/0272989x13501558
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The Half-Cycle Correction Revisited

Abstract: Decision-analytic software commonly used to implement discrete Markov models requires transitions to occur between simulated health states either at the beginning or at the end of each cycle. The result is an over- or underestimation, respectively, of quality-adjusted life expectancy and cost, compared with the results that would be obtained if transitions were modeled to occur randomly throughout each cycle. The standard half-cycle correction (HCC) is used to remedy the bias. However, the standard approach to… Show more

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Cited by 31 publications
(33 citation statements)
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“…We refer the reader to Naimark et al. ()'s study for alternative approaches to the half‐cycle correction method. We calculate r t ( s t , DN , o ) as follows:rtfalse(st,DN,ofalse)=0.5×P(alive in periodt|current state isst)+0.25×P(dies in periodt|current state isst),oscriptODN,stS¯,tT.That is, the immediate rewards for DN action are independent of the observation made and rtfalse(st,DNfalse)=rtfalse(st,0.166667emDN,0.166667emitalicDNfalse)=rtfalse(st,0.166667emDN,0.166667emitalicDN+false),stS¯,tT.On the other hand, depending on the observation made, M action leads to some disutilities that decrement the QALY of the patient.…”
Section: Problem Formulationmentioning
confidence: 99%
“…We refer the reader to Naimark et al. ()'s study for alternative approaches to the half‐cycle correction method. We calculate r t ( s t , DN , o ) as follows:rtfalse(st,DN,ofalse)=0.5×P(alive in periodt|current state isst)+0.25×P(dies in periodt|current state isst),oscriptODN,stS¯,tT.That is, the immediate rewards for DN action are independent of the observation made and rtfalse(st,DNfalse)=rtfalse(st,0.166667emDN,0.166667emitalicDNfalse)=rtfalse(st,0.166667emDN,0.166667emitalicDN+false),stS¯,tT.On the other hand, depending on the observation made, M action leads to some disutilities that decrement the QALY of the patient.…”
Section: Problem Formulationmentioning
confidence: 99%
“…The model used monthly cycles. No half-cycle correction was applied because the cycle length was deemed sufficiently short compared to the length of the time horizon [24][25][26].…”
Section: Treatment Sequencesmentioning
confidence: 99%
“…The cycle length of the model was 6 months. The cycle tree method was used for half-cycle correction [12].…”
Section: Decision Modelingmentioning
confidence: 99%