the second limitation ... the convenience sampling methodmight have causedsampling bias
discrepancies in the percentage of tracked hits in the sample and the percentage of global usage documented by third party sources caused by the heavier levels of market usage.[13 ] Statistics from the United States government 's Digital Analytics Program ( DAP(passive) caused bysampling bias
The order of Veterans ’ names on the recruitment call lists is randomly “ scrambledto preventbiased sampling
Mainstreet ... ended upcreatinga bias in its sampling
However , sometimes such a standardised arrangement ( order / pattern ) may not be obvious or visibleresultingin sampling bias
data ... a database Nonsampling errors errorsresultfrom sampling bias
a convenience sample of patientscan causea sampling bias
variation ... improvements in HIV screening and diagnosisresultsin sampling biases
the fact that pretty much all the high - K% batters are only selected to play in the majors if they have phenomenal power to make up for phenomenal powerhas createdbias in the sample
difference in ethnicity and co - morbiditiesmight have ledto sampling bias
different opinions from those who do ... Response Bias ... Nonsampling errors errorsresultfrom sampling bias
cell size variation using a method adapted from primary motor cortex research(passive) caused bysampling bias
The drilling orientation is not consideredto have createdany bias in sampling
sufficient informationmight have resultedin sampling bias
distort such informationto createsampling bias
the convenience sampling technique usedcan leadto sampling bias
ampicillin in isolation media for Aeromonas 93(passive) created bySampling bias
a possible overestimationresultingfrom sampling bias
Intratumoral heterogeneityleadsto sampling bias
Intratumor heterogeneitymay leadto sampling bias
Several factorscan leadto sampling bias
Your choice of research design or data collection methodcan leadto sampling bias
recruitment riskscontributingto sampling bias
Using historical data from the U.S. equity markets over the twentieth centurydoes createa sampling bias
The measure method with partial elected points and random samplingcausessampling bias
The voluntary random sampling method ( requiring parental consentledto sampling bias
variation ... the mean SPVL of the founding lineage or the age of the epidemic ; or improvements in HIV screening and diagnosisresultsin sampling biases
that the selection of units to be included in the sample will be based on ease of access and cost considerationsresultingin sampling bias
An over - emphasis on “ surviving ” respondentscan createsampling bias
Random sampling helpspreventsampling bias
Intra - tumoral heterogeneitymay leadto sampling bias
Failure to follow through on external selectionmay leadto sampling bias
Interestingly , one of the bias of psychology has beed pointed out , that much of psychological theory is based on experiments carried with college or university students ( who often participate in research on a voluntary basis , but for additional creditresultingin a sampling bias
consequently no particular factorswould leadto sampling bias
the way these different factorscan causesampling bias
the use of a convenience sample of participants based on logistics in the Chiropractic Centre and examiner availabilityresultedin sampling bias
The difference between the results can be attributed to exclusion of actively accruing trials by Cheng et al3 (leadingto sampling bias
reduction of the number of samples entered as controlscan leadto sampling bias
pcr bias and other unavoidable factorscontributeto sampling bias
The use of objective measures of help - seeking within the app ... to follow - up [ 4,5may have ledto nonresponse sampling bias
3 Problems(passive) caused by3 Problems
to a distortion in the results of the study biasleadsto a distortion in the results of the study bias
to incorrect predictionscan leadto incorrect predictions
to these findingsmay contributeto these findings
genetic association studies ... so significant associations must be validated in populations that are different from the one originally sampled before they can be deemed to have been reproduced [ 23may influencegenetic association studies ... so significant associations must be validated in populations that are different from the one originally sampled before they can be deemed to have been reproduced [ 23
the results obtained in this studymay have influencedthe results obtained in this study
the dramatic results we see heremay have influencedthe dramatic results we see here
from uneven focus and illumination across the field of view that were typicallyresultingfrom uneven focus and illumination across the field of view that were typically
in biased results due to overrepresentation of closer relativesmight have resultedin biased results due to overrepresentation of closer relatives
the systematic use of this method , errors and uncertainties(passive) caused bythe systematic use of this method , errors and uncertainties
the excess mutations on terminal branches(passive) caused bythe excess mutations on terminal branches
from the small sample size of this studyresultsfrom the small sample size of this study
visual artefactscausesvisual artefacts
results by inflating the numbers of individual STscould influenceresults by inflating the numbers of individual STs
the end resultwill influencethe end result
to skewed datacan leadto skewed data
the results ... as those who volunteer to participate may have been more likely to be receptive to the interventionmay influencethe results ... as those who volunteer to participate may have been more likely to be receptive to the intervention
inaccurate results ( Pew Research Center , 2010can createinaccurate results ( Pew Research Center , 2010
in a skewed classifier and overly optimistic evaluation resultsresultsin a skewed classifier and overly optimistic evaluation results
the degree to which results and conclusions are applicable to a population outside of the studyinfluencesthe degree to which results and conclusions are applicable to a population outside of the study
calculated trends of ozone in the free troposphere over western North Americacan ... influencecalculated trends of ozone in the free troposphere over western North America
to measurement errors because of unrepresentative samplescan leadto measurement errors because of unrepresentative samples
from small sample size ( small numbers of clones sequenced from each libraryresultingfrom small sample size ( small numbers of clones sequenced from each library
from survey results from respondents who are not representative of the population or intended focus group of a surveyresultsfrom survey results from respondents who are not representative of the population or intended focus group of a survey
to therapeutic nihilism and stigmatization in the past and that more recent outcome studies show very positive resultshas ledto therapeutic nihilism and stigmatization in the past and that more recent outcome studies show very positive results
to over / under sampling of likely voting groupsleadingto over / under sampling of likely voting groups
the relatively high number of GPs involved with palliative care patients(passive) may have been influenced bythe relatively high number of GPs involved with palliative care patients
to issues regarding the data generalizability and rigourmay leadto issues regarding the data generalizability and rigour
some types of people to be less or more likely to be included than others in the researchcausessome types of people to be less or more likely to be included than others in the research
when certain individuals are less likely to be picked or vice versacan be createdwhen certain individuals are less likely to be picked or vice versa
when opportunistic sampling methods are employed and could affect results of analyses if whooping crane groups were not detected , reported , or confirmed with equal probabilities across the landscape [ 7can resultwhen opportunistic sampling methods are employed and could affect results of analyses if whooping crane groups were not detected , reported , or confirmed with equal probabilities across the landscape [ 7
from sparse observation of a single FFPE slide , which can impact the reliability of the scoring analysiscan resultfrom sparse observation of a single FFPE slide , which can impact the reliability of the scoring analysis
to the result showing no difference in survival between the patients with ESRD and control subjectsmight have ledto the result showing no difference in survival between the patients with ESRD and control subjects
from the collection of an unrepresentative average sample as a result high portion of subsamples from the same regioncould resultfrom the collection of an unrepresentative average sample as a result high portion of subsamples from the same region
from a variety of sources , including enumerator errors ( e.g. , not selecting the sample according to specificationscan originatefrom a variety of sources , including enumerator errors ( e.g. , not selecting the sample according to specifications
in the observed pattern by simulating a temporal data set under a constant population size modelresultedin the observed pattern by simulating a temporal data set under a constant population size model
to an artificially high degree of clonality ... but also that the selective origin of clones allows them to withstand the homogenizing effects of recombinationleadsto an artificially high degree of clonality ... but also that the selective origin of clones allows them to withstand the homogenizing effects of recombination
directly to continental scale source / sink estimation errors of up to 0.25 PgC yr−1 in northern mid - latitudesleadsdirectly to continental scale source / sink estimation errors of up to 0.25 PgC yr−1 in northern mid - latitudes
in wildly different results ( e.g. , systematically favoring certain teens over other teens to be in the sample ) to avoid bias , work hard to obtain a fully random sample from the population How can we use the idea that samples vary ( sampling variability ) to help us better understand the conclusions we can make about a populationscould resultin wildly different results ( e.g. , systematically favoring certain teens over other teens to be in the sample ) to avoid bias , work hard to obtain a fully random sample from the population How can we use the idea that samples vary ( sampling variability ) to help us better understand the conclusions we can make about a populations