The phrase "allow for left" is not correct and lacks clarity in written English.
It may be intended to convey the idea of making provisions for something on the left side, but it is incomplete without additional context.
Example: "Please allow for left turns when designing the intersection."
Alternatives: "make provisions for left" or "account for left".
The gait kinetics' symmetry allowed for left limbs only examination (Muir and Whishaw 1999).
The effect of intervention was estimated by Cox proportional hazards regression with age as the time scale and allowing for left truncation.
Univariate Cox regression analysis was performed for each prognosticator separately to determine the effect of each factor on survival using three different scenarios: (a) baseline model using incident cases only (no left truncation, considered unbiased in respect to survival analyses); (b) prevalent cases only allowing for left truncation and (c) all cases allowing for left truncation.
To account for variable time from diagnosis to recruitment, we conducted analyses allowing for left truncated data in which cases were only considered at risk after the date of study entry.
Because time from diagnosis to study entry was variable, we allowed for left truncation with time at risk starting on the date of diagnosis and time under observation beginning at the time of study entry.
Therefore, in a survival analysis allowing for left truncation, a component of each recruited individual's time following diagnosis is not considered in the analysis 'at risk' set if the individual is not yet recruited for the study (delayed entry time, shown by dashed lines); however, this time is used to align properly individuals on the y axis of time since diagnosis.
When comparing Cox models restricted to subjects ascertained within six months of diagnosis (incident cases) to models based on the full data set allowing for left truncation, we found no difference in parameter estimates (P=0.90, 0.32 and 0.95, for stage, grade and ER status respectively).
We used data on three well-established breast cancer prognosticators – clinical stage, histopathological grade and oestrogen receptor (ER) status – from the SEARCH study, a population-based study including 4470 invasive breast cancer cases (incident and prevalent), to evaluate empirically the effectiveness of allowing for left truncation in limiting HR bias.
Thus, we fitted parametric Tobit regression models that allowed for left-censored data (Lubin et al. 2004).
