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A general bootstrap performance diagnostic
2013
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '13
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Thus, we present here a general diagnostic procedure which directly and automatically evaluates the accuracy of the bootstrap's outputs, determining whether or not the bootstrap is performing satisfactorily ...
We show that our proposed diagnostic is effective via an extensive empirical evaluation on a variety of estimators and simulated and real datasets, including a real-world query workload from Conviva, Inc ...
part by NSF CISE Expeditions award CCF-1139158 and DARPA XData Award FA8750-12-2-0331, and gifts from Amazon Web Services, Google, SAP, Blue Goji, Cisco, Clearstory Data, Cloudera, Ericsson, Facebook, General ...
doi:10.1145/2487575.2487650
dblp:conf/kdd/KleinerTASJ13
fatcat:wyrwmiy6dnffzobot446ifxugy
Attach importance of the bootstrap t test against Student's t test in clinical epidemiology: a demonstrative comparison using COVID-19 as an example
2021
Epidemiology and Infection
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With varying TPR, the diagnostic ability of bootstrap t test outperformed or equivalently performed as Student's t test in terms of the AUC. ...
Using random data samples from normal distributions, we evaluated the testing performance, in terms of true-positive rate (TPR) and false-positive rate and diagnostic abilities, in terms of the area under ...
In Figure 2 , the diagnostic ability of bootstrap t test outperformed or equivalently performed as Student's t test in terms of the AUC. ...
doi:10.1017/s0950268821001047
fatcat:vvdmdntscvakrp7d2chu7p4wb4
A serial risk score approach to disease classification that accounts for accuracy and cost
2014
Biometrics
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The performance of diagnostic tests for disease classification is often measured by accuracy (e.g. sensitivity or specificity); however, costs of the diagnostic test are a concern as well. ...
Here we consider serial testing approaches that maintain accuracy while controlling costs of the diagnostic tests. We present a serial risk score classification approach. ...
The bootstrapping adjustment procedure further complicates the method, as each bootstrap sample requires a new set of generated algorithms. ...
doi:10.1111/biom.12217
pmid:25156309
pmcid:PMC4790436
fatcat:vlkiqqlr5jbaterv3pseqyxrma
Nonlinear mixed-effects models for pharmacokinetic data analysis: assessment of the random-effects distribution
2017
Journal of Pharmacokinetics and Pharmacodynamics
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In a recent paper we developed a diagnostic tool based on the so-called gradient function to assess the random-effects distribution in mixed models. ...
There we evaluated the gradient function for generalized liner mixed models only and in the presence of a single random effect. ...
The key step in our bootstrap procedure, in order to obtain a bootstrap sample, is to first generate random effects b s i , i = 1, . . . , N , fromĜ and then generate a bootstrap sample Y s i , i = 1, ...
doi:10.1007/s10928-017-9510-8
pmid:28194555
fatcat:avaasmsjpjamtfdbwsctzkt43m
Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine
2023
Frontiers in Veterinary Science
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When multiple observations are observed from the same subject, which is very common in veterinary diagnostic tests evaluation experiments, a traditional bootstrap-based method can fail to provide valid ...
The receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC) are frequently used to evaluate diagnostic assays' performance. ...
In this manuscript, we focused on testing the performance of these two proposed methods in calculating the estimated interval of AUC for a single diagnostic test. ...
doi:10.3389/fvets.2023.1274786
pmid:38116513
pmcid:PMC10728486
fatcat:ivr554p675ewjngswxuateyd3a
Diagnostics for the bootstrap and fast double bootstrap
2017
Econometric Reviews
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Examples of bootstrapping time series are presented which illustrate the diagnostic procedures, and show how the results can cast light on bootstrap performance. ...
It is therefore useful for practitioners to have available diagnostic techniques capable of evaluating bootstrap performance in specific cases. ...
to generate a bootstrap sample. ...
doi:10.1080/07474938.2017.1307918
fatcat:3sayjqdrbzfxpc45ag26zhiddi
Attach importance of the bootstrap t-test against Student's t-test in clinical epidemiology: A demonstrative comparison using COVID-19 as an example
2021
Epidemiology and Infection
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With varying TPR, the diagnostic ability of bootstrap t test outperformed or equivalently performed as Student's t test in terms of the AUC. ...
Using random data samples from normal distributions, we evaluated the testing performance, in terms of true-positive rate (TPR) and false-positive rate and diagnostic abilities, in terms of the area under ...
performance and diagnostic abilities of the bootstrap t-test outperformed Student's t-test regardless varying sample size and CV. ...
doi:10.1017/s0950268821001047
pmid:33928887
pmcid:PMC8137228
fatcat:rrpvebwmsjal7e2d7e4eyn5xcu
Knowing when you're wrong
2014
Proceedings of the 2014 ACM SIGMOD international conference on Management of data - SIGMOD '14
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A popular technique for speeding up queries at the cost of accuracy is to execute each query on a sample of data, rather than the whole dataset. ...
However, existing work in the sampling-based approximate query processing (S-AQP) community has not validated whether these techniques actually generate accurate error bars for real query workloads. ...
Poissonized Resampling Recall that the bootstrap (including the bootstraps performed on the small subsamples used in the diagnostic) requires the identification of many resampled datasets from a given ...
doi:10.1145/2588555.2593667
dblp:conf/sigmod/AgarwalMKTJMMS14
fatcat:uul23cpx2jg7loarlzzjofij4m
Use of the bootstrap technique with small training sets for computer-aided diagnosis in breast ultrasound
2002
Ultrasound in Medicine and Biology
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Texture parameters of a region-of-interest (ROI) were resampled with a bootstrap technique and a decision-tree model was used to classify the tumor as benign or malignant. ...
A total of 263 sonographic images of solid breast nodules, including 129 malignancies and 134 benign nodules, were evaluated by using a bootstrap technique with 10 original training samples. ...
Based on this study, diagnostic performance of the proposed diagnostic system with a bootstrap technique can achieve the results of larger database. ...
doi:10.1016/s0301-5629(02)00528-8
pmid:12208332
fatcat:3klwfltwcfalxp4o4whyfixzbq
Partial Verification Bias Correction Using Inverse Probability Bootstrap Sampling for Binary Diagnostic Tests
2022
Diagnostics
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Inverse probability bootstrap (IPB) sampling is a general method to correct sampling bias in model-based analysis and produces debiased data for analysis. ...
These new tests are compared to gold standard tests, where the performance of binary diagnostic tests is usually measured by sensitivity (Sn) and specificity (Sp). ...
They achieved this by generating weighted bootstrap samples. ...
doi:10.3390/diagnostics12112839
pmid:36428900
pmcid:PMC9689704
fatcat:cf57gdy5sjdjlfyyescj2zxx2e
Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues
2009
Bernoulli
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Our tie diagnostic is governed by a probability level, β, which in principle is an analogue of m in the m-out-of-n bootstrap. ...
In this paper we propose a new approach, where a tie diagnostic is used to determine the locations of ties, and parameter estimates are adjusted accordingly. ...
In general the bootstrap is not good at producing distribution estimators and confidence regions that perform well in a uniform sense. See e.g. Hall and Jing (1995) and Romano (2004) . ...
doi:10.3150/08-bej154
fatcat:i5t6prcii5ffrmaspklirng6eq
Interval estimation for the difference in paired areas under the ROC curves in the absence of a gold standard test
2009
Statistics in Medicine
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Under the normality assumption on test results from each disease group of subjects, using the expectation-maximization (EM) algorithm in conjunction with a bootstrap method, we propose a maximum likelihood ...
The most commonly used measure for the overall diagnostic accuracy of diagnostic tests is the area under the ROC curve (AUC). ...
In general, these two bootstrap methods appear to have similar performance in both the GS and NGS cases. ...
doi:10.1002/sim.3661
pmid:19691022
pmcid:PMC2812057
fatcat:iol3q5h33zbprezkek7pu42zzu
Bootstrap Power of Time Series Goodness of fit tests
2013
Pakistan Journal of Statistics and Operation Research
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Algorithms have been provided for the power calculations and comparison has also been made between the semi parametric bootstrap methods used for time series. ...
It is generally considered a three stage iterative procedure consisting of identification, estimation and diagnostic checking (Box and Jenkins, 2008) . ...
Moreover, dynamic bootstrap methods show better performance than the fixed design bootstrap in our example. ...
doi:10.18187/pjsor.v9i2.547
fatcat:7qvjodxoxbgpfnyottub53wyki
BP4ER: Bootstrap Prompting for Explicit Reasoning in Medical Dialogue Generation
[article]
2024
arXiv
pre-print
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Previous works typically employ a sequence-to-sequence framework to generate medical responses by modeling dialogue context as sequential text with annotated medical entities. ...
We employ a least-to-most prompting strategy to guide a large language model (LLM) in explicit reasoning, breaking down MDG into simpler sub-questions. ...
Subsequently, we fine-tune the LLM M on this filtered dataset and iteratively bootstrap prompting M to generate a new reasoning chain with the newly finetuned model until performance reaches a plateau. ...
arXiv:2403.19414v1
fatcat:4ovgtmq3j5f4dgf7olwftr6lk4
dOFV distributions: a new diagnostic for the adequacy of parameter uncertainty in nonlinear mixed-effects models applied to the bootstrap
2016
Journal of Pharmacokinetics and Pharmacodynamics
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The new diagnostic was applied to case bootstrap examples in order to investigate for which dataset sizes case bootstrap is appropriate for NLMEM. ...
This work aims at introducing a diagnostic capable of assessing the appropriateness of a given parameter uncertainty distribution. ...
tivecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a ...
doi:10.1007/s10928-016-9496-7
pmid:27730481
pmcid:PMC5110608
fatcat:v4pn27sdxragrkwvgumzo2aylm
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