Number of the records: 1
bias
SYS d015982 LBL 00000cz--a2200000n--4500 005 20250606220548.7 008 920525|||anznnbabn-----------|-a|a------ 040 $b slo $a DNLM $d BA006 $d BA006 065 $a N05.715.350.150 065 $a N06.850.490.500 066 $a 01 $c 03 150 $a bias $2 slo 450 $w v $a Aggregation Bias $2 eng 450 $w v $a Bias, Aggregation $2 eng 450 $w v $a Bias, Ecological $2 eng 450 $w v $a Bias, Statistical $2 eng 450 $w v $a Bias, Systematic $2 eng 450 $w v $a Ecological Bias $2 eng 450 $w v $a Outcome Measurement Errors $2 eng 450 $w v $a Statistical Bias $2 eng 450 $w v $a Systematic Bias $2 eng 450 $w v $a bias agregačný $2 slo 450 $w v $a bias ekologický $2 slo 450 $w v $a bias štatistický $2 slo 450 $w v $a bias systematický $2 slo 450 $w v $a chyby výsledného merania $2 slo 450 $w v $a chyba systematická, v epidemiológii $2 slo 450 $w v $a skreslenie výsledku v epidemiológii $2 slo 665 $a 2018(1990); use Research 1987-1989 $2 eng 665 $a Epidemiologic Methods (1966-1989) $2 eng 665 $a Research Design (1972-1989) $2 eng 665 $a Risk (1966-1989) $2 eng 680 9-
$i Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions. $2 eng 680 $a IM general only; coordinate NIM with disease /epidemiol, not /etiol; add geographic term if pertinent; do not use for "bias" as prejudice or subjectivity (= PREJUDICE or specifics) $2 eng 750 -2
$a Bias $2 eng 980 $x M
Number of the records: 1