The concept of ρ̃-mixing random variables dates back to Stein [1].
The extraction time of a given reservoir element as compared to the time, for which the subsidence has been calculated, is a unique pair of variables (dates) in the calculation algorithms.
Patients listed with uninvolved GPs were more likely to be women, to be 55 64 years of age, to have higher 1-year survival and to have medium educational level.We excluded 278 (6.8%) patients due to missing information on three main variables: dates (125 patients (3.0%)), use of CPP (7 patients (0.2%)) and GP's symptom interpretation (146 patients (3.6%)).
We recorded demographic variables, dates of admission and surgery, types of fracture, medical comorbidities, medications used, type of implant used, seniority levels of the operating surgeon and the anesthetist, hemodynamic status immediately before and after cement application and in recovery, and time and cause of death.
For the system GMM estimator, lagged first differences of the endogenous variables (dated t − 2 and earlier) are used as additional instruments in the level equations.
Because the inpatient cases are found in both datasets, we de-duplicated the merged dataset using probabilistic matching on eight variables (date of admission, date of discharge, date of birth, sex, age, residential ZIP code, diagnosis codes and facility code).
Using an experimental Response Surface Methodology complemented with a Central Composite Orthogonal Design, three major independent variables (date juice carbon source, nitrogen source and temperature) were evaluated for their individual and interactive effects on biomass and xanthan gum production.
Categorical variables (light, obstacle visibility, and distress calls) were coded with dummy variables, and continuous variables (date and time) were centered on their means to reduce the risks of collinearity.
These records captured, among other variables: date of visit, sex, age at enrollment, date of birth, marital status, employment status, HIV status of partner, WHO stage, CD4 count, weight, height, hemoglobin level, ART regimen and CTX prescription status.
'DOBcmc', 'DTP3' and 'Urb' are the harmonised names for the variables date of birth DTP3 and area of residence respectively.
Key variables captured for each record from different data sources include identification variables, date of birth, birth outcome, length of gestation, and date of death, among others.
