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  • covariates
  • framed a cohort setting of patients providing baseline data on two continuous covariates, X 1 (no missing values) and X 2 (50% missing values), a binary treatment T and continuous outcome Y . We consider a somewhat different setting: a population-based cohort of individuals examined at baseline, yielding extensive data for analyzing the effect of an exposure on a binary outcome. (springer.com)
  • genotypes
  • Missing SNP genotypes, when related to target traits, would confound downstream data analyses such as genome-wide association studies (GWAS). (biomedcentral.com)
  • When markers with missing genotypes are recognized extremely suspecting, one can choose to repeat the genotyping or modify the data analysis tools to accommodate the missing data. (biomedcentral.com)
  • When genotypes of related individuals are available in a number of linked genetic markers, the program starts by identifying haplotypes compatible with the observed genotypes in those markers without missing values. (r-project.org)
  • Several scenarios are analyzed: family completely genotyped, children partially genotyped and parents completely genotyped, children fully genotyped and parents containing entirely or partially missing genotypes, and founders and their offspring both only partially genotyped. (r-project.org)
  • MCAR
  • Comparison was performed on four real datasets of various sizes (from 4 to 65 variables), under a missing completely at random (MCAR) assumption, and based on four evaluation criteria: Root mean squared error (RMSE), unsupervised classification error (UCE), supervised classification error (SCE) and execution time. (omicsonline.org)
  • The corresponding figures in the subgroups with 2-3 and 4-7 metabolic risk factors are 49/327 (15%) and 16/74 (22%), respectively, indicating that the data were not missing completely at random (MCAR). (springer.com)
  • loci
  • Fisher (1918) defined epistasis as the deviation of the genotypic value from the contribution of the sum of additive effects at all functional loci in the genome. (g3journal.org)
  • either
  • Existing methods for recovering the missing values are successful to some extent - either accurate but not fast enough or fast but not accurate enough. (biomedcentral.com)
  • In general, GWAS, either case-control or categorical or quantitative, requires many samples along with large and dense SNP marker sets, which are apt to contain a significant number of missing data. (biomedcentral.com)
  • Stroke migraine cardiology and insurance class medicines of lisinopril missed dose either damage may be progressive. (builders-warehouse.co.uk)
  • Each simulated genetic architecture explained either 30% or 70% of the phenotypic variability. (g3journal.org)
  • genetic
  • Abstract The alleHap package is designed for imputing genetic missing data and reconstruct non recombinant haplotypes from pedigree databases in a deterministic way. (r-project.org)
  • We assess the relative merits of these 14 methods in terms of accuracy and mean squared error (MSE) using simulated genetic architectures consisting of completely additive or two-way epistatic interactions in an F 2 population derived from crosses of inbred lines. (g3journal.org)
  • Parametric methods were unable to predict phenotypic values when the underlying genetic architecture was based entirely on epistasis. (g3journal.org)
  • example
  • For example, you could use the 0.90 and 0.95 quantiles to extrapolate a value for the maximum data value. (sas.com)
  • For example, if the data are positive, you could use 0 as a lower bound for the minimum data value. (sas.com)
  • For illustrations of adjusting imputed continuous values, adjusting log odds ratio for imputed classification levels, and adjusting imputed continuous values by using parameters that are stored in an input data set, see Example 63.16 , Example 63.17 , and Example 63.18 , respectively. (sas.com)
  • In this Commentary, we provide an empirical example and extend the focus to methods for handling missing individuals (i.e. non-participants)-in addition to missing covariate data on the study participants. (springer.com)
  • uses
  • The lignin, comprising up to 25% of the dry biomass, is generally then burned or diverted to other low-value uses ( 2 ). (asm.org)
  • uses any of the input argument combinations in the previous syntaxes and additional options specified by one or more name-value pair arguments. (mathworks.com)
  • The data set to be studied, which uses health data from the 1994 National Population Health Survey, will have missing data to simulate non-response. (ssc.ca)
  • This case study on missing data uses a sub-sample of the 1994 National Population Health Survey. (ssc.ca)
  • logistic
  • invlogit(1+0.3*x1+ /* */ 0.6*x2+0.5*x3) program define myprog, rclass preserve bsample 1000 logistic y x1 x2 x3 qui lroc, nograph return scalar roc=r(area) restore end simulate roc=r(roc), /* */ reps(100): myprog list, noobs ****** HTH Martin -----Ursprüngliche Nachricht----- Von: owner-statalist@hsphsun2.harvard.edu [ mailto:owner-statalist@hsphsun2.harvard.edu ] Im Auftrag von Andrzej Niemierko Gesendet: Donnerstag, 3. (stata.com)
  • Andrzej program define prog, rclass preserve bsample logistic y x1 x2 x3 lroc return scalar roc=r(area) restore end simulate roc=r(area), reps(100): prog The information in this e-mail is intended only for the person to whom it is addressed. (stata.com)
  • increases
  • Pulmonary such increases are lisinopril missed dose bacterial. (builders-warehouse.co.uk)
  • 2017 oxford university presshypertension clinically after harmful similar load is associated with high hypotension and safely doctor, lisinopril missed dose although there are medical rats on anesthesia contact immediately after increases. (builders-warehouse.co.uk)
  • The nal pyrolysis time rst decreases at lower values of net heating rate or temperature and then increases as net heating rate or temperature is further increased, providing an optimum value of net heating rate or temperature at which nal pyrolysis time is minimum. (scribd.com)
  • methods
  • BayesDB could help these users quickly get first-pass results for typical problems, and work more effectively in settings where typical methods struggle, such as when there are lots of variables, few rows, and lots of missing values. (datainnovation.org)
  • variable
  • Our main contribution has been to demonstrate that mixed data may optimally be combined to allow the accurate reconstruction of missing values in the target variable even when some data are absent from the other fields of the record. (hindawi.com)
  • variables
  • You must also specify a VAR statement, and the data set must have a monotone missing pattern with variables ordered in the VAR list. (sas.com)
  • Results
  • K). The simulated results are compared with those reported in the literature and found to be in good agreement qualitatively in the range of operating conditions covered, but some very interesting trends are found, especially with respect to the eect of net heating rate and temperature on nal pyrolysis time. (scribd.com)
  • ratio
  • They can arise from different sources such as mishandling of samples, low signal-to-noise ratio, measurement error, non-response or deleted aberrant value. (omicsonline.org)
  • specify
  • You can specify a subset of imputed values to be adjusted by using the ADJUSTOBS= suboption in the ADJUST option. (sas.com)
  • known values
  • If a man's total cholesterol is 200, you can approximate the quantile by using linear interpolation between the known values. (sas.com)