• GlobalAncova

  • Referenced in 7 articles [sw30019]
  • help to correct for possible selection bias. Variance homogeneity and uncorrelated residuals cannot be expected...
  • GJRM

  • Referenced in 5 articles [sw23082]
  • presence of several forms of selection bias. The framework allows for Gaussian and non-Gaussian...
  • causalsens

  • Referenced in 1 article [sw23420]
  • package causalsens: Selection Bias Approach to Sensitivity Analysis for Causal Effects. The causalsens package provides ... study how various assumptions about selection bias affects estimates of causal effects...
  • sambia

  • Referenced in 1 article [sw25991]
  • Collection of Techniques Correcting for Sample Selection Bias. A collection of various techniques correcting statistical ... models for sample selection bias is provided. In particular, the resampling-based methods ”stochastic inverse...
  • BCBCSF

  • Referenced in 1 article [sw07436]
  • Bias-corrected hierarchical Bayesian classification with a selected subset of high-dimensional features Class prediction ... that can correct for this feature selection bias. Our method, which we term bias-corrected...
  • selectMeta

  • Referenced in 1 article [sw06784]
  • Selection models with monotone weight functions in meta analysis. Publication bias, the fact that studies ... analysis. One way to explicitly model publication bias is via weighted probability distributions. We adopt ... addition, we provide an approximate selection bias adjusted profile likelihood confidence interval for the treatment...
  • copas

  • Referenced in 3 articles [sw25187]
  • Statistical Methods to Model and Adjust for Bias in Meta-Analysis. This article describes ... Copas selection model to adjust for bias in meta-analysis. A clinical example is used ... illustrate fitting and interpreting the Copas selection model...
  • nprobust

  • Referenced in 2 articles [sw30833]
  • estimation and robust bias-corrected inference, lpbwselect() for local polynomial bandwidth selection, kdrobust() for kernel ... estimation and robust bias-corrected inference, kdbwselect() for kernel density bandwidth selection, and nprobust.plot...
  • matchingMarkets

  • Referenced in 0 articles [sw16510]
  • estimators to correct for the sample selection bias from observed outcomes in matching markets. This...
  • SPreFuGED

  • Referenced in 0 articles [sw16152]
  • computationally intensive and leads to selection bias. Thus, the question which function should one choose...
  • SSCU

  • Referenced in 1 article [sw25675]
  • calculate the strength of selected codon usage bias (sscu, also named as s_index) based ... detect the strength of translational accuracy selection by Akashi’s test. The test tabulating...
  • longQDA

  • Referenced in 1 article [sw20397]
  • motivating applications. First, we compare two model selection criteria for determining the most appropriate univariate ... quantify the corresponding bias of an incorrect decision. The first criterion selects the model structure ... yields the best classification performance. The second selects the model with the minimal Bayesian information ... performs better in our simulation study. The bias of an incorrect decision turns...
  • DOvalidation

  • Referenced in 1 article [sw32786]
  • estimator and its multiplicatively bias correction, including three bandwidth selection methods: best one-sided cross...
  • spatial panels

  • Referenced in 9 articles [sw30006]
  • article extends these routines to include the bias correction procedure proposed ... proposed by LeSage and Pace, and a selection framework to determine which spatial panel data...
  • Negatome

  • Referenced in 3 articles [sw29347]
  • less biased towards functionally dissimilar proteins than the negative data derived by randomly selecting proteins...
  • fuzzyforest

  • Referenced in 1 article [sw15505]
  • designed to reduce the bias seen in random forest feature selection caused by the presence...
  • DBKGrad

  • Referenced in 5 articles [sw14541]
  • adaptive variants. In this approach, boundary bias is automatically reduced and age is pragmatically considered ... manually given by the user or selected by cross-validation. Pointwise confidence intervals, for each...
  • ibr

  • Referenced in 7 articles [sw11227]
  • Recursive bias estimation for multivariate regression smoothers. This paper presents a practical and simple fully ... existing base smoothers (without the need of selecting an optimal smoothing parameter), such as thin...
  • ESMValTool

  • Referenced in 1 article [sw29463]
  • focusing on selected Essential Climate Variables, a range of known systematic biases common to ESMs...
  • lspartition

  • Referenced in 1 article [sw30834]
  • robust bias-corrected (pointwise and uniform) inference; lspkselect() for data-driven selection of the IMSE...