<p>Results of the preliminary study: Root mean square errors of the correlation estimates using <i>m</i> = 5, 20, and 50 imputations for 70%, 50%, and 30% missing values (DRR scenario, <i>N</i> = 500, 1000 iterations).</p
<p>Error statistics of the predicted first flowering date (FFD) of root mean square error (RMSE), co...
Valid analyses of longitudinal data can be problematic, particularly when subjects dropout prior to ...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
This study examined bias in the sample correlation coefficient, r, and its correction by unbiased es...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
A simulation study was used to evaluate multiple imputation (MI) to handle MCAR correlations in the ...
This study examined bias in the sample correlation coefficient, r, and its correction by unbiased es...
Missing correlations often happen in the primary correlation matrices and create major problems for ...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
<p>(<i>N</i> = 5000 “genes”) against the known true correlations used to generate the data (dotted l...
(A) Median error (solid gray curves; measured in percentage points) in correlation coefficient estim...
<p>Comparison results at the fragment level between HH and TH data are shown. (A) The correlation co...
Pearson’s correlation coefficients and normalized root mean squared errors of GPR algorithm on CCHF ...
<p>Error statistics of the predicted first flowering date (FFD) of root mean square error (RMSE), co...
Valid analyses of longitudinal data can be problematic, particularly when subjects dropout prior to ...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
A: Number of true predictors that had a non-zero coefficient estimate (Oracle = 5). B: Number of fal...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
This study examined bias in the sample correlation coefficient, r, and its correction by unbiased es...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
A simulation study was used to evaluate multiple imputation (MI) to handle MCAR correlations in the ...
This study examined bias in the sample correlation coefficient, r, and its correction by unbiased es...
Missing correlations often happen in the primary correlation matrices and create major problems for ...
Approaches to correcting correlation coefficients for range restriction have been developed under th...
<p>(<i>N</i> = 5000 “genes”) against the known true correlations used to generate the data (dotted l...
(A) Median error (solid gray curves; measured in percentage points) in correlation coefficient estim...
<p>Comparison results at the fragment level between HH and TH data are shown. (A) The correlation co...
Pearson’s correlation coefficients and normalized root mean squared errors of GPR algorithm on CCHF ...
<p>Error statistics of the predicted first flowering date (FFD) of root mean square error (RMSE), co...
Valid analyses of longitudinal data can be problematic, particularly when subjects dropout prior to ...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...