… biases in the statistical analysis of emerging outbreaks and to illustrate how they can propagate
to parameter estimates … The epidemic models used in the statistical analyses are often of …

… estimation and moment estimation have been implemented in a small simulation experiment,
with 1000 replicates of estimation … a biased estimate of the true generation time distribution. …

… Then, we discuss biases that can affect the estimation of epidemiological delay distributions…
recommendation, examples from real outbreaks, and possible solutions. It should be used …

… Then, we discuss biases that can affect the estimation of … some estimates from the literature
have not been corrected for bias [79]. Published estimates can also be adjusted for bias post-…

… epidemic time-series (when compared to popular approaches), significantly filtering the
noise within data, to minimise both bias and uncertainty of R-estimates … their solutions induce …

… -time is therefore often underestimated, which can bias R t estimates if not accounted for. This
is … at all; however this should not bias R t estimates, unless reporting varies over short time …

… estimated by fitting censored intervals into Weibull, Gamma, and log-normal. However, such
estimations may lead to biased estimations … method would be treating the observed forumla …

… that R t estimates are most prone to this kind of bias when the … in an epidemic, when the
sensitivity of high R t values to bias … the inference process or that treat the time series of infections …

… for the given infectee cohort because we found estimation bias in the intervals for infectors
when applying the same adjustment to both infectors and infectees (Supplementary Material). …

… We found that bias in intervention effect estimates from clinical trials, resulting from
inadequate allocation concealment and lack of blinding, varied according to the type of outcome …