• GJRM

  • Referenced in 9 articles [sw23082]
  • presence of several forms of selection bias. The framework allows for Gaussian and non-Gaussian...
  • GlobalAncova

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

  • Referenced in 2 articles [sw37704]
  • however, may suffer from simultaneity and selection biases. Olley and Pakes (1996, Econometrica ... reliable productivity measures by controlling for such biases. This study first reviews this method ... show that when simultaneity and selection biases are not controlled for, the coefficients...
  • EValue

  • Referenced in 3 articles [sw34331]
  • Sensitivity Analyses for Unmeasured Confounding or Selection Bias in Observational Studies and Meta-Analyses. Conducts...
  • Flickr30K

  • Referenced in 5 articles [sw36502]
  • objects, a color classifier, and a bias towards selecting larger objects. While our baseline rivals...
  • 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...
  • nnmatch

  • Referenced in 3 articles [sw37362]
  • specify the distance metric; to select a bias adjustment; and to use heteroskedastic-robust variance...
  • 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...
  • leebounds

  • Referenced in 1 article [sw37701]
  • sample selection. Nonrandom sample selection may render estimated treatment effects biased even if assignment ... parametric approaches to correcting for sample-selection bias, Lee’s bounds estimator rests on very...
  • 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...
  • PanNuke

  • Referenced in 1 article [sw39636]
  • clinical wild and with minimal selection bias. We study the performance of segmentation and classification...
  • 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...
  • episens

  • Referenced in 0 articles [sw37705]
  • analysis of epidemiologic studies. Classification errors, selection bias, and uncontrolled confounders are likely ... uncertainty introduced by these types of biases is seldom quantified. The authors present a simple ... relative risk for exposure misclassification, selection bias, and an unmeasured confounder. This command implements both...
  • 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...
  • spatial panels

  • Referenced in 14 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...
  • 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...