That study involved only eight couples, and the samples have generally been small in other research into a subject that has not until recently received much scholarly attention.
Studies that have looked at HER2 status in matched primary and metastatic tumor samples have generally found concordance in the range of 90%, suggesting that HER2 status is generally stable [50], [51], [52], [53], [54], but some recent reports have shown lower concordance in the range of 60 70%, particularly when comparing between primary tumor and CTC HER2 status [25], [30], [55].
Because of participant burden, personal air samples have generally been collected over shorter time periods (24 48 hr) at the higher flow rates (e.g., 4 L/min).
However, as reported in Borsari & Carey's [ 3] review of the social norms literature, convenience samples are used widely while the response rates for studies based on other samples have generally been modest.
Many studies have based the prevalence of OPD on parent report or non-validated methods, and samples have generally been limited to individuals with more severe gross motor impairments 12 14 15 17 and across a broad age range.
Metabolomic studies in lung cancer samples have generally employed techniques such as nuclear magnetic resonance [ 11], high-performance liquid chromatography/mass spectrometry (HPLC/MS and LC/MS/MS) [ 12], and gas chromatography/MS (GC/MS).
The studies that have used heterosexual samples have generally focused on parts of the world, such as South Africa, that have not only high rates of anal intercourse among heterosexuals, but also high HIV prevalence in the general population and high numbers of concurrent partners among heterosexuals (Kalichman et al., 2011; Thomas, 2009).
Moreover, the WBMd96h samples had generally higher Ace and Chao1 richness estimates than the WB96h samples (Table 1).
Additionally, the Md72h and Md96h samples had generally higher Ace and Chao1 richness estimates compared with the samples Md02h, Md24h and Md48h (Table 1).
The results showed that the SOM content maps predicted using representative training samples had generally higher accuracy than the results produced using non-representative samples, and comparative accuracies with the results produced using full training samples.
