Few studies have analysed the influence of poor social connectedness on health specifically between genders.
The report has been criticized for its objectives, confounding of social influences with health care system performance, poor data quality, and narrow scope in methodology [ 8– 10].
Poor data exist on the influence of psychosocial variables on the female/male ratio of depression because of the small number of cases and the resulting limited numbers of variables available for investigation.
Poor data exist on the combined influence of age, marital or employment status on the female/male ratio of depression.
Poor data quality resulted in the absence of 3%to30%0% of data at different sites.
Unesco warned that poor data meant that 49% of public expenditure data was not available between 2000 and 2013, and that no data was available for Nigeria.
Oil's rise further rattled investors already grappling with a batch of poor economic data.
Electropherograms were manually trimmed of poor sequence data.
Poor data collection can diminish the metrological qualities of QIs.
