Results 61 to 70 of about 762,527 (191)
Statistical inference for hardy-weinberg proportions in the presence of missing genotype information [PDF]
, 2016 In genetic association studies, tests for Hardy-Weinberg proportions are often employed as a quality control checking procedure. Missing genotypes are typically discarded prior to testing.
Cook, Samantha +3 more
core +1 more source
PERBANDINGAN MEKANISME DATA HILANG PADA MODEL NORMAL [PDF]
, 2009 Data hilang merupakan sutu fenomena yang umum terjadi dalam penelitian survei atau experimental, berdasarkan fakta tersebut berbagai metode statistika dikembangkan untuk mengatasinya.
Yadi, Suprijadi, Zulhanif, Zulhanif
core
SAGE Open, 2018 Missing Not at Random (MNAR) data present challenges for the social sciences, especially when combined with Missing Completely at Random (MCAR) data for dichotomous test items.
Celeste Combrinck +3 more
doaj +1 more source
Bias of complete-case analysis of williams square crossover designs when data are missing not at random [PDF]
Trials, 2015 A Williams square is a particular type of Latin square that is widely used for crossover trials when comparing t treatments over t treatment periods. As with most forms of clinical trials, crossover trials do not always obtain all the observations prescribed in the design and the analyst has to deal with missing data.
Bazakou, Sofia +3 more
openaire +1 more source
ON THE POTENTIAL FOR ILL-LOGIC WITH LOGICALLY DEFINED OUTCOMES [PDF]
, 2006 Logically defined outcomes are commonly used in medical diagnoses and epidemiological research. When missing values in the original outcomes exist, the method of handling the missingness can have unintended consequences, even if the original outcomes ...
Caffo, Brian S. +2 more
core +1 more source
On the Use of Local Assessments for Monitoring Centrally Reviewed Endpoints with Missing Data in Clinical Trials* [PDF]
, 2015 Due to ethical and logistical concerns it is common for data monitoring committees to periodically monitor accruing clinical trial data to assess the safety, and possibly efficacy, of a new experimental treatment. When formalized, monitoring is typically
Brummel, Sean S., Gillen, Daniel L.
core +1 more source
Tests of missing completely at random based on sample covariance matrices
The Annals of StatisticsWe study the problem of testing whether the missing values of a potentially high-dimensional dataset are Missing Completely at Random (MCAR). We relax the problem of testing MCAR to the problem of testing the compatibility of a collection of covariance matrices, motivated by the fact that this procedure is feasible when the dimension grows with the ...
Bordino, Alberto, Berrett, Thomas B.
openaire +2 more sources
Informatics, 2023 The Health and Aging Brain Study–Health Disparities (HABS–HD) project seeks to understand the biological, social, and environmental factors that impact brain aging among diverse communities. A common issue for HABS–HD is missing data. It is impossible to
Fan Zhang +6 more
doaj +1 more source
BMC Bioinformatics, 2019 Background LC-MS technology makes it possible to measure the relative abundance of numerous molecular features of a sample in single analysis. However, especially non-targeted metabolite profiling approaches generate vast arrays of data that are prone to
Marietta Kokla +4 more
doaj +1 more source
An Investigation of Missing Data Methods for Classification Trees [PDF]
, 2008 There are many different missing data methods used by classification tree algorithms, but few studies have been done comparing their appropriateness and performance.
Ding, Yufeng, Simonoff, Jeffrey S.
core